CN104408143A - Webpage data monitoring method and device - Google Patents
Webpage data monitoring method and device Download PDFInfo
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- CN104408143A CN104408143A CN201410720534.1A CN201410720534A CN104408143A CN 104408143 A CN104408143 A CN 104408143A CN 201410720534 A CN201410720534 A CN 201410720534A CN 104408143 A CN104408143 A CN 104408143A
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Abstract
The invention discloses a webpage data monitoring method and a webpage data monitoring device. The webpage data monitoring method includes: obtaining the webpage data of a historical time period according to a preset cycle and obtaining multiple pieces of first sample data; determining an index value according to the multiple pieces of first sample data; receiving a preset significance level; obtaining the webpage data of the time period to be monitored and obtaining second sample data, wherein the duration of the time period to be monitored is equal to the preset cycle; determining the target state of the second sample data according to the significance level and the index value, wherein the target state expresses the exceptional situation of the second sample data. According to the webpage data monitoring method and device, the problem that webpage data monitoring in the prior art is inaccurate is solved, and the effect on improving webpage data monitoring accuracy is achieved.
Description
Technical field
The present invention relates to data processing field, in particular to a kind of monitoring method and device of web data.
Background technology
Along with the universal of internet and development, understand information by internet and get more and more with the user carrying out concluding the business, and then the user accesses data of the internet obtained is also thereupon day by day huge.More product provider starts to utilize this platform of internet to carry out publicizing, concluding the business and maintenance items, and this soars all the way to internet data process and the demand that presents with regard to causing.Data providing can show the situation of change of user accesses data by the mode of various figure, table.
As mentioned above, present stage, the emphasis of data providing was faster, better must integration and demonstrating data, grasp and understand the history performance of product to assist product provider, the method specifically used is only limitted to descriptive statistical method, as: multidimensional data table, broken line graph, column diagram, pie chart, bubble diagram, area-graph etc., above-mentioned statistical method can only carry out data display, so can only allow party in request (namely, product provider) see static Data Representation, lack the dynamic judge to data.In default of the monitoring dynamically passed judgment on user accesses data, the best decision chance that product provider misses can be caused to a certain extent.
For the accurate not problem of web data monitoring in prior art, at present effective solution is not yet proposed.
Summary of the invention
Fundamental purpose of the present invention is the monitoring method and the device that provide a kind of web data, accurate not to solve web data monitoring in prior art.
To achieve these goals, according to an aspect of the embodiment of the present invention, a kind of monitoring method of web data is provided.
Monitoring method according to web data of the present invention comprises: obtain the described web data in historical time section according to predetermined period, obtain multiple first sample data; According to multiple described first sample data agriculture products value; Receive the level of significance preset; Obtain the described web data of time period to be monitored, obtain the second sample data, wherein, the duration of described time period to be monitored equals described predetermined period; And the dbjective state of described second sample data is determined according to described level of significance and described desired value, wherein, described dbjective state represents the abnormal conditions of described second sample data.
Further, determine that the dbjective state of described second sample data comprises according to described level of significance and described desired value: determine the first critical value according to standardized normal distribution table and described level of significance; The interval range of the described web data in the time period to be monitored is calculated according to described first critical value and described desired value; Judge described second sample data whether in described interval range; When judging that described second sample data is in described interval range, determine that described dbjective state is the first state; And when judging that described second sample data is not in described interval range, determine that described dbjective state is the second state.
Further, described desired value comprises average and standard deviation, and the interval range according to described first critical value and the described web data in the described desired value calculating time period to be monitored comprises: according to formula
calculate the floor value of described interval range; And according to formula
calculate the upper dividing value of described interval range, wherein, A is described floor value, and B is described upper dividing value,
for described average, Z
α/2for described first critical value, σ is described standard deviation, and α is described level of significance.
Further, determine that the dbjective state of described second sample data comprises according to described level of significance and described desired value: calculate standard value according to described second sample data and described desired value; The second critical value is calculated according to standardized normal distribution table and described standard value; More described second critical value and described level of significance; When comparing described second critical value and being more than or equal to described level of significance, determine that the dbjective state of described second sample data is the first state; And when comparing described second critical value and being less than described level of significance, determine that the dbjective state of described second sample data is the second state.
Further, described desired value comprises average and standard deviation, calculates standard value and comprises: according to formula according to described second sample data and described desired value
calculate described standard value, wherein, S is described standard value, and x is described second sample data,
for described average, σ is described standard deviation.
To achieve these goals, according to the another aspect of the embodiment of the present invention, provide a kind of monitoring device of web data.
Monitoring device according to web data of the present invention comprises: the first acquiring unit, for obtaining the described web data in historical time section according to predetermined period, obtains multiple first sample data; First determining unit, for according to multiple described first sample data agriculture products value; First receiving element, for receiving default level of significance; Second acquisition unit, for obtaining the described web data of time period to be monitored, obtains the second sample data, and wherein, the duration of described time period to be monitored equals described predetermined period; And second determining unit, for determining the dbjective state of described second sample data according to described level of significance and described desired value, wherein, described dbjective state represents the abnormal conditions of described second sample data.
Further, described second determining unit comprises: the first determination module, for determining the first critical value according to standardized normal distribution table and described level of significance; First computing module, for calculating the interval range of the described web data in the time period to be monitored according to described first critical value and described desired value; Judge module, for judging described second sample data whether in described interval range; Second determination module, for when judging that described second sample data is in described interval range, determines that described dbjective state is the first state; And the 3rd determination module, for when judging that described second sample data is not in described interval range, determine that described dbjective state is the second state.
Further, described desired value comprises average and standard deviation, and described first computing module comprises: the first calculating sub module, for according to formula
calculate the floor value of described interval range; And second calculating sub module, for according to formula
calculate the upper dividing value of described interval range, wherein, A is described floor value, and B is described upper dividing value,
for described average, Z
α/2for described first critical value, σ is described standard deviation, and α is described level of significance.
Further, described second determining unit comprises: the second computing module, for calculating standard value according to described second sample data and described desired value; 3rd computing module, for calculating the second critical value according to standardized normal distribution table and described standard value; Comparison module, for more described second critical value and described level of significance; 4th determination module, for when comparing described second critical value and being more than or equal to described level of significance, determines that the dbjective state of described second sample data is the first state; And the 5th determination module, for when comparing described second critical value and being less than described level of significance, determine that the dbjective state of described second sample data is the second state.
Further, described desired value comprises average and standard deviation, and described second computing module comprises: the 3rd calculating sub module, for according to formula
calculate described standard value, wherein, S is described standard value, and x is described second sample data,
for described average, σ is described standard deviation.
Further, described desired value comprises average, and described monitoring device also comprises: computing unit, for after determining that dbjective state is the second state, calculates the intensity of anomaly of described second sample data according to described average and described second sample data.
According to inventive embodiments, adopt according to the web data in predetermined period acquisition historical time section, obtain multiple first sample data; According to multiple first sample data agriculture products value; Receive the level of significance preset; Obtain the web data in the time period to be monitored, obtain the second sample data, wherein, the duration of time period to be monitored equals predetermined period; And the dbjective state of the second sample data is determined according to level of significance and desired value, wherein, dbjective state represents the abnormal conditions of the second sample data.By acquiring multiple first sample data according to predetermined period to the web data in historical time section, and then according to multiple first sample data agriculture products value, achieve the index of correlation determining web data based on the data in historical time section, then the web data of time period to be monitored is obtained, the last term of reference calculating web data according to level of significance and desired value, the abnormal conditions of the relation determination web data relatively between web data and term of reference, this kind of monitoring mode, be compared in prior art and cannot carry out abnormal conditions monitoring to web data, the invention solves the accurate not problem of web data monitoring in prior art, reach the effect improving web data monitoring degree of accuracy.
Accompanying drawing explanation
The accompanying drawing forming a application's part is used to provide a further understanding of the present invention, and schematic description and description of the present invention, for explaining the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is the process flow diagram of the monitoring method of web data according to the embodiment of the present invention;
Fig. 2 is the process flow diagram of the monitoring method of web data according to the preferred embodiment of the invention;
Fig. 3 is the process flow diagram of the monitoring method of web data according to the preferred embodiment of the invention;
Fig. 4 is the schematic diagram of the monitoring device of web data according to the embodiment of the present invention.
Embodiment
The present invention program is understood better in order to make those skilled in the art person, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the embodiment of a part of the present invention, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, should belong to the scope of protection of the invention.
It should be noted that, term " first ", " second " etc. in instructions of the present invention and claims and above-mentioned accompanying drawing are for distinguishing similar object, and need not be used for describing specific order or precedence.Should be appreciated that the data used like this can be exchanged in the appropriate case, so as embodiments of the invention described herein can with except here diagram or describe those except order implement.In addition, term " comprises " and " having " and their any distortion, intention is to cover not exclusive comprising, such as, contain those steps or unit that the process of series of steps or unit, method, system, product or equipment is not necessarily limited to clearly list, but can comprise clearly do not list or for intrinsic other step of these processes, method, product or equipment or unit.
When not conflicting, the embodiment in the application and the feature in embodiment can combine mutually.Below with reference to the accompanying drawings and describe the present invention in detail in conjunction with the embodiments.
Description below is done to technical term involved in the embodiment of the present invention:
Level of significance: be estimate that population parameter drops in a certain interval, the probability that may make mistakes is level of significance.
Fiducial interval: the estimation interval referring to the population parameter constructed by sample statistic.
Embodiment 1
According to the embodiment of the present invention, provide a kind of embodiment of the method that may be used for implementing the application's device embodiment, it should be noted that, can perform in the computer system of such as one group of computer executable instructions in the step shown in the process flow diagram of accompanying drawing, and, although show logical order in flow charts, in some cases, can be different from the step shown or described by order execution herein.
According to the embodiment of the present invention, provide a kind of monitoring method of web data, Fig. 1 is the process flow diagram of the monitoring method of web data according to the embodiment of the present invention.As shown in Figure 1, the method comprises following step S102 to step S110:
S102: obtain the web data in historical time section according to predetermined period, obtain multiple first sample data, particularly, predetermined period, historical time section and web data can be selected according to demand; Predetermined period can be day, week or the middle of the month any one; Web data can be access times, visitor, pageview, income, average access duration, jump out rate, new access times number percent, order conversion ratio or target conversion etc.First sample data can represent with Xi, and i gets 1 to n successively, and n is the number of multiple first sample data, then multiple first sample data can specifically be expressed as X1, X2, X3 ... .Xn}.
Such as: the historical time section of selection is 2014.3.1-2014.8.31, predetermined period is the moon, web data is the visit capacity of promotion message A, wherein, in March, 2014 (namely, 2014.3.1-2014.3.31) visit capacity is 5000, in April, 2014 (namely, 2014.4.1-2014.4.30) visit capacity is 6000, in May, 2014 (namely, 2014.5.1-2014.5.31) visit capacity is 5000, in June, 2014 (namely, 2014.6.1-2014.6.30) visit capacity is 7000, in July, 2014 (namely, 2014.7.1-2014.7.31) visit capacity is 5000, in August, 2014 (namely, 2014.8.1-2014.8.31) visit capacity is 5500, now will obtain 6 the first sample datas, X1 to X6 respectively, X1=5000, X2=6000, X3=5000, X4=7000, X5=5000, X6=5500.
S104: according to multiple first sample data agriculture products value.
S106: receive the level of significance preset.In embodiments of the present invention, level of significance α represents, span is 0-1, and concrete value can be arranged according to demand.
S108: the web data obtaining the time period to be monitored, obtain the second sample data, wherein, the duration of time period to be monitored equals predetermined period, namely, namely obtain according to predetermined period the web data that duration is a predetermined period, the time period to be monitored is the time period after historical time section, and can select according to demand.Continue to adopt the citing in S102 to be described, predetermined period is the moon, historical time section is 2014.3.1-2014.8.31, and web data is the visit capacity promoting product A, and the time period to be monitored can be selected to be that the visit capacity of 2014.10.1-2014.10.31 is as the second sample data.
S110: the dbjective state determining the second sample data according to level of significance and desired value, wherein, dbjective state represents the abnormal conditions of the second sample data, and particularly, dbjective state can be abnormal, also can be normal.
In embodiments of the present invention, by acquiring multiple first sample data according to predetermined period to the web data in historical time section, and then the desired value that obtained by multiple first sample data is determined according to multiple first sample data, achieve the index of correlation determining web data based on the data in historical time section, then the web data of time period to be monitored is obtained, the last term of reference calculating web data according to level of significance and desired value, the abnormal conditions of the relation determination web data relatively between web data and term of reference, this kind of monitoring mode, be compared in prior art and cannot carry out abnormal conditions monitoring to web data, the invention solves the accurate not problem of web data monitoring in prior art, reach the effect improving web data monitoring degree of accuracy.
Particularly, determine that the dbjective state of the second sample data has two kinds of modes according to level of significance and desired value, illustrate respectively below:
Mode one: the dbjective state that the second sample data can be determined by step 1-1 to step 1-5, step 1-1 is specific as follows to step 1-5:
According to standardized normal distribution table (that is, table 1) and level of significance, step 1-1: determine the first critical value according to standardized normal distribution table and level of significance, particularly, determines that the process of the first critical value is as follows:
Level of significance in this step is the α received in step S106, first calculate α/
2value, secondly with 1-α/
2calculate a numerical value A1, then inquiry and the immediate numerical value B1 of above-mentioned numerical value A1 in standardized normal distribution tables of critical values, and two numerical value corresponding to numerical value B1, two numerical value are numerical value C1 and numerical value D1 respectively, finally numerical value C1 and numerical value D1 summation are obtained the first critical value Z
α/2.Illustrate: suppose level of significance α=0.05 received in step s 106, first calculate α/
2=0.025, next calculate A1=1-α/
2=1-0.025=0.975, then finding the immediate numerical value with 0.975 is in Table 1 0.9750, that is, B1=0.9750, and two numerical value corresponding to numerical value B1 are 1.9 and 0.06 respectively, now determine the first critical value Z
α/2be 1.96.
Table 1
Alternatively, after knowing level of significance α, also can according to formula
calculate the first critical value, wherein, P1=α/
2, when P1 is given value, the first critical value Z can be gone out according to above-mentioned formula backstepping
α/2.No matter be the first critical value Z determined by level of significance α and above-mentioned formula
α/2, or by the first critical value Z that level of significance α and standardized normal distribution tables of critical values (that is, table 1) are determined
α/2, the first critical value Z that two kinds of modes are determined
α/2all equal.
Step 1-2: the interval range calculating the web data of time period to be monitored according to the first critical value and desired value, this interval range is the interval range that the web data of time period to be monitored should meet, and this interval range also can be called fiducial interval.
Particularly, desired value comprises average and standard deviation, according to formula
computation of mean values, according to formula
Calculate standard deviation, wherein,
for average, σ is standard deviation.In order to ensure that the average determined according to multiple first sample data and standard deviation are convergences, the number of the first sample data obtained in step s 102 should be abundant.
It should be noted that, if select arbitrary absolute magnitudes such as access times, visitor, pageview, income as the words of web data, so directly by each predetermined period, multiple first sample datas obtained can be carried out addition to gather, the result after gathering just can be calculated average divided by the number of the first sample; If select the average access duration, jump out rate, arbitrary non-absolute magnitude such as new access times number percent, order conversion ratio, target conversion is as the words of web data, index is when computation of mean values, to all data of selected web data be regarded as an entirety to calculate, and by each predetermined period, multiple first sample datas obtained can not be carried out addition and gather, by the number computation of mean values of summarized results divided by the first sample.
According to formula
the floor value of computation interval scope; According to formula
the upper dividing value of computation interval scope, wherein, A is floor value, and B is upper dividing value,
for average, Z
α/2be the first critical value, σ is standard deviation, and α is level of significance, can determine interval range according to the upper dividing value calculated and floor value.
Step 1-3: judge the second sample data whether in interval range.
Step 1-4: when judging that the second sample data is in interval range, determines that dbjective state is the first state, that is, judge that the second sample data is when interval range, determine that the second sample data is normal.
Step 1-5: when judging that the second sample data is not in interval range, determines that dbjective state is the second state, that is, judges the second sample data not when interval range, determines that the second sample data is abnormal.
Mode two: the dbjective state that the second sample data can be determined by step 2-1 to step 2-5, step 2-1 is specific as follows to step 2-5:
Step 2-1: calculate standard value according to the second sample data and desired value.
Particularly, desired value comprises average and standard deviation, and the account form of average and standard deviation illustrated in aforesaid way one, same, was not repeated.According to formula
calculate standard value, wherein, S is standard value, and x is the second sample data,
for average, σ is standard deviation.
According to standardized normal distribution table and standard value, step 2-2: calculate the second critical value according to standardized normal distribution table and standard value, particularly, determines that the process of the second critical value is as follows:
First the standard value S determined in step 2-1 is divided into two parts, a part is the value E1 that integer adds one decimal place, and another part is the value F1 of 2 significant digits, and S=E1+F1; Secondly in standardized normal distribution table (that is, table 1), value G1 corresponding to E1 and F1 is found, the second critical value P2=1-G1.Illustrate: suppose the standard value S=1.35 determined in step 2-1, now E1=1.3, F1=0.05, inquiry can learn that 1.3 values corresponding with 0.05 should be 0.9115 in Table 1, i.e. G1=0.9115, the second critical value P2=1-G1=1-0.9115=0.0885.
Alternatively, after confirmed standard value S, also can according to formula
calculate the second critical value P2.No matter be the second critical value P2 determined by standard value S and above-mentioned formula, or by the second critical value P2 that standard value S and standardized normal distribution tables of critical values (that is, table 1) are determined, the second critical value P2 that two kinds of modes are determined is equal.
Step 2-3: compare the second critical value and level of significance.
Step 2-4: when comparing the second critical value and being more than or equal to level of significance, determine that the dbjective state of the second sample data is the first state, that is, when comparing the second critical value and being more than or equal to level of significance, the second sample data is normal.
Step 2-5: when comparing the second critical value and being less than level of significance, determines that the dbjective state of the second sample data is the second state, that is, when comparing the second critical value and being less than level of significance, the second sample data is abnormal.
Preferably, desired value comprises average, after determining that dbjective state is the second state, namely, after determining that the second sample data is abnormal, the monitoring method of the web data that the embodiment of the present invention provides also comprises: the intensity of anomaly calculating the second sample data according to average and the second sample data.Particularly, can according to formula: abnormal percent=| actual value-average |/actual value × 100% calculates the intensity of anomaly of the second sample data, and wherein, actual value is the second sample data.
In embodiments of the present invention, after determining that web data to be monitored is abnormal, can also calculate the intensity of anomaly of this web data, the concrete abnormal conditions understanding this web data for user are provided convenience, and improve user satisfaction.
Preferably, after determining that dbjective state is the second state, namely, after determining that the second sample data is abnormal, the monitoring method of the web data that the embodiment of the present invention provides also comprises: one of at least send alarm command to the user preset by following: short message, Email, that is, after determining that the second sample data is abnormal, can send alarm command by short message or Email to the user preset, this alarm command is for reminding this pre-set user web data abnormal.
In embodiments of the present invention, after determining that web data to be monitored is abnormal, alarm command is sent to pre-set user, remind this pre-set user web data abnormal, after making this pre-set user receive alarm command, corresponding measure can be taked as early as possible, avoid subsequent web pages data to continue abnormal.
Preferably, before the history actual value Xn obtaining the multiple historical sample data in historical time section according to predetermined period, the monitoring method of the web data that the embodiment of the present invention provides also comprises: receive selection instruction, selection instruction is used for determining predetermined period, historical time section and web data, that is, predetermined period can be selected according to demand to be day, one of week or the moon, historical time section and web data.
Fig. 2 is the process flow diagram of the monitoring method of web data according to the preferred embodiment of the invention.As shown in Figure 2, the method comprises following step S202 to step S212:
S202: selected sample data, this sample data is equivalent to multiple first sample datas obtained in step S102.
S204: the essential characteristic investigating sample data, that is, calculate the essential characteristic of this sample data, essential characteristic comprises standard deviation, average.
S206: utilize normal distribution principle, judge the data normal variation interval range in certain period, the data normal variation interval range in this step is equivalent to the interval range in step 1-2, the concrete deterministic process of interval range, describing in detail before, herein no longer repeat specification.
S208: judge whether, within the scope of normal interval, to be equivalent to step 1-3, do not repeating herein.When judging within the scope of normal interval, performing step S210, when judging not within the scope of normal interval, performing step S212.
S210: normal, is equivalent to step 1-4, is not repeating herein.
S212: abnormal, calculates intensity of anomaly, namely " after determining that dbjective state is the second state, that is, after determining that the second sample data is abnormal, calculates the intensity of anomaly of the second sample data according to average and the second sample data ", herein not in repetition.
Fig. 3 is the process flow diagram of the monitoring method of web data according to the preferred embodiment of the invention.As shown in Figure 3, the method comprises following step S302 to step S308:
S302: user's select time cycle, historical time section and index, index is web data.
S304: utilize normal distribution principle, in cycle computing time, the normal waving interval of index, that is, utilize normal distribution principle, calculates the interval range of web data.
S306: judge that the index of selected period is whether in normal waving interval, is equivalent to step 1-3, herein no longer repeat specification.
S308: result presentation, no matter whether the index of selected period is in normal waving interval, graphically represents the relation between normal for index waving interval and the index of selected period.
In embodiments of the present invention, web data and its direct relation of interval range are graphically represented, whether the web data that user can be made to get information about carry out monitoring is abnormal.
It should be noted that, for aforesaid each embodiment of the method, in order to simple description, therefore it is all expressed as a series of combination of actions, but those skilled in the art should know, the present invention is not by the restriction of described sequence of movement, because according to the present invention, some step can adopt other orders or carry out simultaneously.Secondly, those skilled in the art also should know, the embodiment described in instructions all belongs to preferred embodiment, and involved action and module might not be that the present invention is necessary.
Through the above description of the embodiments, those skilled in the art can be well understood to the mode that can add required general hardware platform by software according to the method for above-described embodiment and realize, hardware can certainly be passed through, but in a lot of situation, the former is better embodiment.Based on such understanding, technical scheme of the present invention can embody with the form of software product the part that prior art contributes in essence in other words, this computer software product is stored in a storage medium (as ROM/RAM, magnetic disc, CD), comprising some instructions in order to make a station terminal equipment (can be mobile phone, computing machine, server, or the network equipment etc.) perform method described in each embodiment of the present invention.
Embodiment 2
According to the embodiment of the present invention, additionally provide a kind of monitoring device of web data of the monitoring method for implementing above-mentioned web data, this monitoring device is mainly used in the monitoring method that execution embodiment of the present invention foregoing provides, and does concrete introduction below to the monitoring device of the web data that the embodiment of the present invention provides:
Fig. 4 is the schematic diagram of the monitoring device of web data according to the embodiment of the present invention.As shown in Figure 4, this device mainly comprises the first acquiring unit 10, first determining unit 20, first receiving element 30, second acquisition unit 40, second determining unit 50, wherein:
First acquiring unit 10 is for obtaining the web data in historical time section according to predetermined period, obtain multiple first sample data, particularly, predetermined period, historical time section and web data can be selected according to demand; Predetermined period can be day, week or the middle of the month any one; Web data can be access times, visitor, pageview, income, average access duration, jump out rate, new access times number percent, order conversion ratio or target conversion etc.First sample data can represent with Xi, and i gets 1 to n successively, and n is the number of multiple first sample data, then multiple first sample data can specifically be expressed as X1, X2, X3 ... .Xn}.
Such as: the historical time section of selection is 2014.3.1-2014.8.31, predetermined period is the moon, web data is the visit capacity of promotion message A, wherein, in March, 2014 (namely, 2014.3.1-2014.3.31) visit capacity is 5000, in April, 2014 (namely, 2014.4.1-2014.4.30) visit capacity is 6000, in May, 2014 (namely, 2014.5.1-2014.5.31) visit capacity is 5000, in June, 2014 (namely, 2014.6.1-2014.6.30) visit capacity is 7000, in July, 2014 (namely, 2014.7.1-2014.7.31) visit capacity is 5000, in August, 2014 (namely, 2014.8.1-2014.8.31) visit capacity is 5500, now will obtain 6 the first sample datas, X1 to X6 respectively, X1=5000, X2=6000, X3=5000, X4=7000, X5=5000, X6=5500.
First determining unit 20 is for according to multiple first sample data agriculture products value.
First receiving element 30 is for receiving default level of significance, and in embodiments of the present invention, level of significance α represents, span is 0-1, and concrete value can be arranged according to demand.
Second acquisition unit 40 is for obtaining the web data of time period to be monitored, obtain the second sample data, wherein, the duration of time period to be monitored equals predetermined period, namely, namely obtain according to predetermined period the web data that duration is a predetermined period, the time period to be monitored is the time period after historical time section, and can select according to demand.The citing continued in employing first acquiring unit 10 is described, predetermined period is the moon, historical time section is 2014.3.1-2014.8.31, and web data is the visit capacity promoting product A, and the time period to be monitored can be selected to be that the visit capacity of 2014.10.1-2014.10.31 is as the second sample data.
Second determining unit 50 is for determining the dbjective state of the second sample data according to level of significance and desired value, wherein, dbjective state represents the abnormal conditions of the second sample data, and particularly, dbjective state can be abnormal, also can be normal.
In embodiments of the present invention, by acquiring multiple first sample data according to predetermined period to the web data in historical time section, and then the desired value that obtained by multiple first sample data is determined according to multiple first sample data, achieve the index of correlation determining web data based on the data in historical time section, then the web data of time period to be monitored is obtained, the last term of reference calculating web data according to level of significance and desired value, the abnormal conditions of the relation determination web data relatively between web data and term of reference, this kind of monitoring mode, be compared in prior art and cannot carry out abnormal conditions monitoring to web data, the invention solves the accurate not problem of web data monitoring in prior art, reach the effect improving web data monitoring degree of accuracy.
Particularly, determine that the dbjective state of the second sample data has two kinds of modes according to level of significance and desired value, illustrate respectively below:
Mode one: the second determining unit 50 comprises the first determination module, the first computing module, judge module, the second determination module and the 3rd determination module, wherein:
First determination module is used for determining the first critical value according to standardized normal distribution table and level of significance, particularly, determines that the process of the first critical value is as follows according to standardized normal distribution table (that is, table 1) and level of significance:
Level of significance is the level of significance α that the first receiving element 30 receives, first calculate α/
2value, secondly with 1-α/
2calculate a numerical value A1, then inquiry and the immediate numerical value B1 of above-mentioned numerical value A1 in standardized normal distribution tables of critical values, and two numerical value corresponding to numerical value B1, two numerical value are numerical value C1 and numerical value D1 respectively, finally numerical value C1 and numerical value D1 summation are obtained the first critical value Z
α/2.Illustrate: suppose level of significance α=0.05 that the first receiving element 30 receives, first calculate α/
2=0.025, next calculate A1=1-α/
2=1-0.025=0.975, then finding the immediate numerical value with 0.975 is in Table 1 0.9750, that is, B1=0.9750, and two numerical value corresponding to numerical value B1 are 1.9 and 0.06 respectively, now determine the first critical value Z
α/2be 1.96.
Alternatively, after knowing level of significance α, also can according to formula
calculate the first critical value, wherein, P1=α/
2, when P1 is given value, the first critical value Z can be gone out according to above-mentioned formula backstepping
α/2.No matter be the first critical value Z determined by level of significance α and above-mentioned formula
α/2, or by the first critical value Z that level of significance α and standardized normal distribution tables of critical values (that is, table 1) are determined
α/2, the first critical value Z that two kinds of modes are determined
α/2all equal.
First computing module is used for the interval range calculating the web data in the time period to be monitored according to the first critical value and desired value, and this interval range is the interval range that the web data of time period to be monitored should meet, and this interval range also can be called fiducial interval.
Particularly, desired value comprises average and standard deviation, according to formula
computation of mean values, according to formula
Calculate standard deviation, wherein,
for average, σ is standard deviation.In order to ensure that the average determined according to multiple first sample data and standard deviation are convergences, the number of the first sample data obtained in the first acquiring unit 10 should be abundant.
It should be noted that, if select arbitrary absolute magnitudes such as access times, visitor, pageview, income as the words of web data, so directly by each predetermined period, multiple first sample datas obtained can be carried out addition to gather, the result after gathering just can be calculated average divided by the number of the first sample; If select the average access duration, jump out rate, arbitrary non-absolute magnitude such as new access times number percent, order conversion ratio, target conversion is as the words of web data, index is when computation of mean values, to all data of selected web data be regarded as an entirety to calculate, and by each predetermined period, multiple first sample datas obtained can not be carried out addition and gather, by the number computation of mean values of summarized results divided by the first sample.
First computing module comprises the first calculating sub module and the second calculating sub module, and wherein, the first calculating sub module is used for according to formula
the floor value of computation interval scope; Second calculating sub module is used for according to formula
the upper dividing value of computation interval scope, wherein, A is floor value, and B is upper dividing value,
for average, Z
α/2be the first critical value, σ is standard deviation, and α is level of significance, can determine interval range according to the upper dividing value calculated and floor value.
Judge module is for judging the second sample data whether in interval range;
Second determination module is used for when judging that the second sample data is in interval range, determines that dbjective state is the first state, that is, judges that the second sample data is when interval range, determine that the second sample data is normal.
3rd determination module is used for when judging that the second sample data is not in interval range, determines that dbjective state is the second state, that is, judges the second sample data not when interval range, determines that the second sample data is abnormal.
Mode two: the second determining unit 50 comprises the second computing module, the 3rd computing module, comparison module, the 4th determination module and the 5th determination module, wherein:
Second computing module is used for calculating standard value according to the second sample data and desired value.
Particularly, desired value comprises average and standard deviation, and the account form of average and standard deviation illustrated in aforesaid way one, was not repeated.Second computing module comprises the 3rd calculating sub module, for according to formula
calculate standard value, wherein, S is standard value, and x is the second sample data,
for average, σ is standard deviation.
3rd computing module is used for calculating the second critical value according to standardized normal distribution table and standard value, particularly, determines that the process of the second critical value is as follows according to standardized normal distribution table and standard value:
First the standard value S that the second computing module is determined is divided into two parts, a part is the value E1 that integer adds one decimal place, and another part is the value F1 of 2 significant digits, and S=E1+F1; Secondly in standardized normal distribution table (that is, table 1), value G1 corresponding to E1 and F1 is found, the second critical value P2=1-G1.Illustrate: suppose the standard value S=1.35 that the second computing module is determined, now E1=1.3, F1=0.05, inquiry can learn that 1.3 values corresponding with 0.05 should be 0.9115 in Table 1, i.e. G1=0.9115, the second critical value P2=1-G1=1-0.9115=0.0885.
Alternatively, after confirmed standard value S, also can according to formula
calculate the second critical value P2.No matter be the second critical value P2 determined by standard value S and above-mentioned formula, or by the second critical value P2 that standard value S and standardized normal distribution tables of critical values (that is, table 1) are determined, the second critical value P2 that two kinds of modes are determined is equal.
Comparison module is used for comparing the second critical value and level of significance.
4th determination module is used for when comparing the second critical value and being more than or equal to level of significance, determine that the dbjective state of the second sample data is the first state, that is, when comparing the second critical value and being more than or equal to level of significance, the second sample data is normal.
5th determination module is used for when comparing the second critical value and being less than level of significance, determines that the dbjective state of the second sample data is the second state, that is, when comparing the second critical value and being less than level of significance, the second sample data is abnormal.
Preferably, desired value comprises average, and the monitoring device of the web data that the embodiment of the present invention provides also comprises computing unit, for after determining that dbjective state is the second state, calculates the intensity of anomaly of the second sample data according to average and the second sample data.Particularly, can according to formula: abnormal percent=| actual value-average |/actual value × 100% calculates the intensity of anomaly of the second sample data, and wherein, actual value is the second sample data.
In embodiments of the present invention, after determining that web data to be monitored is abnormal, can also calculate the intensity of anomaly of this web data, the concrete abnormal conditions understanding this web data for user are provided convenience, and improve user satisfaction.
Preferably, the monitoring method of the web data that the embodiment of the present invention provides also comprises transmitting element, for after determining that dbjective state is the second state, one of at least alarm command is sent by following: short message, Email to the user preset, namely, after determining that the second sample data is abnormal, can send alarm command by short message or Email to the user preset, this alarm command is for reminding this pre-set user web data abnormal.
In embodiments of the present invention, after determining that web data to be monitored is abnormal, alarm command is sent to pre-set user, remind this pre-set user web data abnormal, after making this pre-set user receive alarm command, corresponding measure can be taked as early as possible, avoid subsequent web pages data to continue abnormal.
Preferably, the monitoring device of the web data that the embodiment of the present invention provides also comprises the second receiving element, for before the history actual value Xn obtaining the multiple historical sample data in historical time section according to predetermined period, receive selection instruction, wherein, selection instruction is used for determining predetermined period, historical time section and web data, that is, predetermined period can be selected according to demand to be day, one of week or the moon, historical time section and web data.
As can be seen from the above description, the invention solves the accurate not problem of web data monitoring in prior art, reach the effect improving web data monitoring degree of accuracy.
The invention described above embodiment sequence number, just to describing, does not represent the quality of embodiment.
In the above embodiment of the present invention, the description of each embodiment is all emphasized particularly on different fields, in certain embodiment, there is no the part described in detail, can see the associated description of other embodiments.
In several embodiments that the application provides, should be understood that, disclosed client, the mode by other realizes.Wherein, device embodiment described above is only schematic, the such as division of described unit, be only a kind of logic function to divide, actual can have other dividing mode when realizing, such as multiple unit or assembly can in conjunction with or another system can be integrated into, or some features can be ignored, or do not perform.Another point, shown or discussed coupling each other or direct-coupling or communication connection can be by some interfaces, and the indirect coupling of unit or module or communication connection can be electrical or other form.
The described unit illustrated as separating component or can may not be and physically separates, and the parts as unit display can be or may not be physical location, namely can be positioned at a place, or also can be distributed in multiple network element.Some or all of unit wherein can be selected according to the actual needs to realize the object of the present embodiment scheme.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, also can be that the independent physics of unit exists, also can two or more unit in a unit integrated.Above-mentioned integrated unit both can adopt the form of hardware to realize, and the form of SFU software functional unit also can be adopted to realize.
If described integrated unit using the form of SFU software functional unit realize and as independently production marketing or use time, can be stored in a computer read/write memory medium.Based on such understanding, the part that technical scheme of the present invention contributes to prior art in essence in other words or all or part of of this technical scheme can embody with the form of software product, this computer software product is stored in a storage medium, comprises all or part of step of some instructions in order to make a computer equipment (can be personal computer, server or the network equipment etc.) perform method described in each embodiment of the present invention.And aforesaid storage medium comprises: USB flash disk, ROM (read-only memory) (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), portable hard drive, magnetic disc or CD etc. various can be program code stored medium.
The above is only the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the premise without departing from the principles of the invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (12)
1. a monitoring method for web data, is characterized in that, comprising:
Obtain the described web data in historical time section according to predetermined period, obtain multiple first sample data;
According to multiple described first sample data agriculture products value;
Receive the level of significance preset;
Obtain the described web data of time period to be monitored, obtain the second sample data, wherein, the duration of described time period to be monitored equals described predetermined period; And
Determine the dbjective state of described second sample data according to described level of significance and described desired value, wherein, described dbjective state represents the abnormal conditions of described second sample data.
2. monitoring method according to claim 1, is characterized in that, determines that the dbjective state of described second sample data comprises according to described level of significance and described desired value:
The first critical value is determined according to standardized normal distribution table and described level of significance;
The interval range of the described web data in the time period to be monitored is calculated according to described first critical value and described desired value;
Judge described second sample data whether in described interval range;
When judging that described second sample data is in described interval range, determine that described dbjective state is the first state; And
When judging that described second sample data is not in described interval range, determine that described dbjective state is the second state.
3. monitoring method according to claim 2, is characterized in that, described desired value comprises average and standard deviation, and the interval range according to described first critical value and the described web data in the described desired value calculating time period to be monitored comprises:
According to formula
calculate the floor value of described interval range; And
According to formula
calculate the upper dividing value of described interval range, wherein, A is described floor value, and B is described upper dividing value,
for described average, Z
α/2for described first critical value, σ is described standard deviation, and α is described level of significance.
4. monitoring method according to claim 1, is characterized in that, determines that the dbjective state of described second sample data comprises according to described level of significance and described desired value:
Standard value is calculated according to described second sample data and described desired value;
The second critical value is calculated according to standardized normal distribution table and described standard value;
More described second critical value and described level of significance;
When comparing described second critical value and being more than or equal to described level of significance, determine that the dbjective state of described second sample data is the first state; And
When comparing described second critical value and being less than described level of significance, determine that the dbjective state of described second sample data is the second state.
5. monitoring method according to claim 4, is characterized in that, described desired value comprises average and standard deviation, calculates standard value comprise according to described second sample data and described desired value:
According to formula
calculate described standard value, wherein, S is described standard value, and x is described second sample data,
for described average, σ is described standard deviation.
6. the monitoring method according to claim 2 or 4, is characterized in that, described desired value comprises average, and after determining that dbjective state is the second state, described monitoring method also comprises:
The intensity of anomaly of described second sample data is calculated according to described average and described second sample data.
7. a monitoring device for web data, is characterized in that, comprising:
First acquiring unit, for obtaining the described web data in historical time section according to predetermined period, obtains multiple first sample data;
First determining unit, for according to multiple described first sample data agriculture products value;
First receiving element, for receiving default level of significance;
Second acquisition unit, for obtaining the described web data of time period to be monitored, obtains the second sample data, and wherein, the duration of described time period to be monitored equals described predetermined period; And
Second determining unit, for determining the dbjective state of described second sample data according to described level of significance and described desired value, wherein, described dbjective state represents the abnormal conditions of described second sample data.
8. monitoring device according to claim 7, is characterized in that, described second determining unit comprises:
First determination module, for determining the first critical value according to standardized normal distribution table and described level of significance;
First computing module, for calculating the interval range of the described web data in the time period to be monitored according to described first critical value and described desired value;
Judge module, for judging described second sample data whether in described interval range;
Second determination module, for when judging that described second sample data is in described interval range, determines that described dbjective state is the first state; And
3rd determination module, for when judging that described second sample data is not in described interval range, determines that described dbjective state is the second state.
9. monitoring device according to claim 8, is characterized in that, described desired value comprises average and standard deviation, and described first computing module comprises:
First calculating sub module, for according to formula
calculate the floor value of described interval range; And
Second calculating sub module, for according to formula
calculate the upper dividing value of described interval range, wherein, A is described floor value, and B is described upper dividing value,
for described average, Z
α/2for described first critical value, σ is described standard deviation, and α is described level of significance.
10. monitoring device according to claim 7, is characterized in that, described second determining unit comprises:
Second computing module, for calculating standard value according to described second sample data and described desired value;
3rd computing module, for calculating the second critical value according to standardized normal distribution table and described standard value;
Comparison module, for more described second critical value and described level of significance;
4th determination module, for when comparing described second critical value and being more than or equal to described level of significance, determines that the dbjective state of described second sample data is the first state; And
5th determination module, for when comparing described second critical value and being less than described level of significance, determines that the dbjective state of described second sample data is the second state.
11. monitoring devices according to claim 10, is characterized in that, described desired value comprises average and standard deviation, and described second computing module comprises:
3rd calculating sub module, for according to formula
calculate described standard value, wherein, S is described standard value, and x is described second sample data,
for described average, σ is described standard deviation.
Monitoring device described in 12. according to Claim 8 or 10, is characterized in that, described desired value comprises average, and described monitoring device also comprises:
Computing unit, for after determining that dbjective state is the second state, calculates the intensity of anomaly of described second sample data according to described average and described second sample data.
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Application publication date: 20150311 |