CN105589784B - Data interaction information sentences different system and method - Google Patents
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Abstract
The present invention proposes data interaction information and sentences different method and system, wherein the method includes：It collects and filters magnanimity initial data interactive information associated with monitored object to obtain target data interactive information；It converts each target data interactive information and complies with predetermined reference format, and by transformed target data interactive information according to one or more attribute bedding storage；Data derivation operation is carried out to the stored target data interactive information to generate derivative achievement data, and executes the anomalous discrimination operation for being directed to the monitored object based on the derivative achievement data therewith.Data interaction information disclosed in this invention, which sentences different method and system, can carry out the initial data interactive information from separate sources effectively processing and the excavation of depth accurately to carry out anomalous discrimination operation.
Description
Technical field
The present invention relates to data interaction information to sentence different system and method, more particularly, to based on data derived from data
Interactive information sentences different system and method.
Background technology
Currently, increasingly extensive and different field the type of business applied with computer and networks becomes increasingly abundant,
Carrying out anomalous discrimination operation according to data interaction information to generate the method and system of alarm becomes more and more important, so as to and
When pinpoint the problems and carry out emergency processing.
In existing technical solution, when carrying out anomalous discrimination operation according to data interaction information, not to coming from difference
The initial data interactive information in source is converted and is filtered, and is not also carried out at data mining and feature difference to it
Reason is only capable of carrying out the simple anomalous discrimination operation based on basic logic according to target data interactive information.
There are the following problems for above-mentioned existing technical solution：Be difficult to the initial data interactive information from separate sources into
The excavation of row effective processing and depth, so as to cause reporting by mistake, failing to report, the generation of Delayed Alarm, thus at possible delay faults
Reason opportunity.
Accordingly, there exist following demands：The initial data interactive information from separate sources can be carried out effectively by providing
Processing and the excavation of depth sentence different system with accurately carry out anomalous discrimination operation based on data interaction information derived from data
And method.
Invention content
In order to solve the problems existing in the prior art scheme, propose can be to from separate sources by the present invention
Initial data interactive information carry out effective processing and the excavation of depth with accurately carry out anomalous discrimination operation based on data
Derivative data interaction information sentences different system and method.
The purpose of the present invention is what is be achieved through the following technical solutions：
A kind of data interaction information sentences different method, and the data interaction information is sentenced different method and included the following steps：
（A1）It collects and filters magnanimity initial data interactive information associated with monitored object to obtain target data friendship
Mutual information；
（A2）It converts each target data interactive information and complies with predetermined reference format, and will be transformed
Target data interactive information is according to one or more attribute bedding storage；
（A3）To the stored target data interactive information progress data derivation operation to generate derivative achievement data,
And the anomalous discrimination operation for being directed to the monitored object is executed based on the derivative achievement data therewith.
In scheme disclosed above, it is preferable that the step（A2）Further comprise：Use predetermined standard
Change formula to the dimension of periodicity and/or skewness in the target data interactive information carry out conversion comply with it is predetermined
Standard.
In scheme disclosed above, it is preferable that the step（A3）Further comprise：（1）It has been stored according to described
The first attribute of target data interactive information derivation operation is carried out to it to generate the first derivative achievement data；（2）According to institute
The second attribute for stating stored target data interactive information carries out it derivation operation to generate the second derivative achievement data：
（3）Derivation operation is carried out to it according to the third attribute of the stored target data interactive information and is referred to generating third derivative
Mark data：（4）Derivation operation is carried out to generate some time according to the TPS trend of the stored target data interactive information
Piece achievement data.
In scheme disclosed above, it is preferable that the step（A3）Further comprise：It is described to be based on derivative index number
Include according to the anomalous discrimination operation executed for monitored object：（1）Derive achievement data, second derivative based on described first
Achievement data, the third derive achievement data and the timeslice achievement data and by way of cluster to the monitoring
Object is classified, and monitored object similar in feature is classified as one kind；（2）It is true it to be based on its attribute for each monitored object class
Surely sentence different element, and sentence different element to identified and classify, sentence that different factor kind is specified to sentence different regular grade therewith to be each；
（3）Sentence different regular tier definition to be each and sentence different rule, wherein it is described sentence different rule and sentence different index set by data constitute, wherein
Data sentence different index set and sentence different index comprising several data；（4）For each monitored object, corresponding thereto according to its characteristic matching
The data answered sentence different index set, and index of the monitored object under each timeslice and a matched data are sentenced different index set
In corresponding data sentence different index and compare, and judge whether the monitored object is abnormal to be sentenced according to comparison result
Different result.
In scheme disclosed above, it is preferable that the data sentence the data that different index set is included, and to sentence different index fixed
The justice threshold value of the particular characteristic value of monitored object.
In scheme disclosed above, it is preferable that the step（A3）Further comprise：Sentence different result by what is obtained
It is presented to the user by way of alarm.
In scheme disclosed above, it is preferable that the step（A3）Further comprise：It defines data and sentences different index
Evaluation index, and when the evaluation index actually calculated is more than baseline, trigger data sentences redefining and generating for different index,
Wherein, the evaluation index is including but not limited to alarm amount, effective percentage, volume of event.
The purpose of the present invention can also be achieved through the following technical solutions：
A kind of data interaction information sentences different system, and the data interaction information sentences different system and includes：
Data collection module, data collection module are collected and filter magnanimity initial data interaction associated with monitored object
Information is to obtain target data interactive information；
Data conversion and memory module, data conversion and memory module convert each target data interactive information so that it is accorded with
Predetermined reference format is closed, and transformed target data interactive information is deposited according to the layering of one or more attribute
Storage；
Data are derivative and sentence anomalous mode block, data it is derivative and sentence anomalous mode block to the stored target data interactive information into
Row data derivation operation is based on the derivative achievement data and executes for the monitoring pair therewith to generate derivative achievement data
The anomalous discrimination of elephant operates.
In scheme disclosed above, it is preferable that the data are derivative and sentence anomalous mode block and execute derivative as follows
Operation：（1）Derivation operation is carried out to generate first to it according to the first attribute of the stored target data interactive information
Derivative achievement data；（2）According to the second attribute of the stored target data interactive information it is carried out derivation operation with
It generates second and derives achievement data：（3）Spread out to it according to the third attribute of the stored target data interactive information
Raw operation derives achievement data to generate third：（4）It is carried out according to the TPS trend of the stored target data interactive information
Derivation operation is to generate some time piece achievement data.
In scheme disclosed above, it is preferable that the data are derivative and sentence anomalous mode block as follows based on derivative
Achievement data executes the anomalous discrimination operation for monitored object：（1）Spread out based on the first derivative achievement data, described second
Raw achievement data, the third derive achievement data and the timeslice achievement data and by way of cluster to the prison
Control object is classified, and monitored object similar in feature is classified as one kind；（2）It is based on its attribute for each monitored object class
It determines and sentences different element, and sentence different element to identified and classify, sentence that different factor kind is specified to sentence different rule etc. therewith to be each
Grade；（3）Sentence different regular tier definition to be each and sentence different rule, wherein it is described sentence different rule and sentence different index set by data constitute,
Middle data sentence different index set and sentence different index comprising several data；（4）For each monitored object, according to its characteristic matching and its phase
Corresponding data sentence different index set, and index of the monitored object under each timeslice and a matched data are sentenced different index
It concentrates corresponding data to sentence different index to compare, and judges whether the monitored object is abnormal to obtain according to comparison result
Sentence different result
It is disclosed in this invention different system and method is sentenced based on data interaction information derived from data to has the following advantages：Energy
Enough excavations that effectively processing and depth are carried out to the initial data interactive information from separate sources, so as to more accurately
Carry out anomalous discrimination operation.
Description of the drawings
In conjunction with attached drawing, technical characteristic of the invention and advantage will be more fully understood by those skilled in the art, wherein：
Fig. 1 is the flow chart that data interaction information according to an embodiment of the invention sentences different method；
Fig. 2 is the schematic diagram that data interaction information according to an embodiment of the invention sentences different system.
Specific implementation mode
Fig. 1 is the flow chart that data interaction information according to an embodiment of the invention sentences different method.As shown in Figure 1, this hair
Bright disclosed data interaction information is sentenced different method and is included the following steps：（A1）It collects and filters（Such as de-redundancy）With monitoring pair
As associated magnanimity initial data interactive information（Such as financial transaction information）To obtain target data interactive information；（A2）Turn
It changes each target data interactive information and complies with predetermined reference format（Even if each target data interactive information
Uniform format）, and by transformed target data interactive information according to one or more attribute bedding storage；（A3）To described
Stored target data interactive information carries out data derivation operation to generate derivative achievement data, and is based on the derivative therewith
Achievement data executes the anomalous discrimination operation for the monitored object.
Preferably, in data interaction information disclosed in this invention sentences different method, the step（A2）Further comprise：
The dimension of periodicity and/or skewness in the target data interactive information is carried out using predetermined standardization formula
Conversion complies with preassigned.
Preferably, in data interaction information disclosed in this invention sentences different method, the step（A3）Further comprise：
（1）According to the first attribute of the stored target data interactive information（Such as area attribute）It is carried out derivation operation with
It generates first and derives achievement data（Such as zone index data）；（2）According to the stored target data interactive information
Second attribute（Such as role attribute, such as bank's attribute, type of transaction etc.）Derivation operation is carried out to it to generate second to spread out
Raw achievement data（Such as role's achievement data）：（3）According to the third attribute of the stored target data interactive information（Example
Such as cyclic attributes）Derivation operation is carried out to it derives achievement data to generate third（Such as cyclical indicator data）：（4）According to institute
State the TPS trend of stored target data interactive information（That is the up and down of portfolio each second, smoothed trend）Spread out
Raw operation is to generate some time piece（Such as 4 timeslices）Achievement data.
Preferably, described to be held based on derivative achievement data in data interaction information disclosed in this invention sentences different method
The hand-manipulating of needle operates the anomalous discrimination of monitored object：（1）Derive achievement data, the second derivative index based on described first
Data, the third derive achievement data and the timeslice achievement data and by way of cluster to the monitored object
Classify, monitored object similar in feature is classified as one kind；（2）It is based on its attribute for each monitored object class（Such as
Portfolio, success rate, TPS trend in financial transaction field etc.）Determine and sentence different element, and to it is identified sentence different element into
Row classification sentences that different factor kind is specified to sentence different regular grade to be each therewith；（3）Sentence different regular tier definition to be each and sentence different rule
Then, wherein it is described sentence different rule and sentence different index set by data constitute, wherein data sentence different index set and sentence different finger comprising several data
Mark（Illustratively, in financial transaction field, the example that data sentence different index may include lower list：It " is sent in no deal（I.e.
Bank, which interrupts, to deliver easily）", " transaction success rate, failure stroke count, continuously fail stroke count " and " trading volume negative variation（I.e. same
Trading volume moment glides in one TPS trend timeslices）”）；（4）For each monitored object, corresponding thereto according to its characteristic matching
The data answered sentence different index set, and index of the monitored object under each timeslice and a matched data are sentenced different index set
In corresponding data sentence different index and compare, and judge whether the monitored object is abnormal to be sentenced according to comparison result
Different result.
Preferably, in data interaction information disclosed in this invention sentences different method, the data are sentenced different index set and are wrapped
The data contained sentence the threshold value of the particular characteristic value of different index definition monitored object.
Preferably, in data interaction information disclosed in this invention sentences different method, monitored object is defined as follows
Particular characteristic value threshold value：The normal fluctuation range of the particular characteristic value of monitored object is determined in such a way that batch is simulated,
Thereby determine that the threshold value of the particular characteristic value.
Preferably, in data interaction information disclosed in this invention sentences different method, the step（A3）Further comprise：
The different result of sentencing obtained is presented to the user by way of alarm.
Preferably, in data interaction information disclosed in this invention sentences different method, the step（A3）Further comprise：
The evaluation index that data sentence different index is defined, and when the evaluation index actually calculated is more than baseline, trigger data sentences different finger
Target is redefined and is generated（Redefine and generate the threshold value of the particular characteristic value of monitored object）, wherein the assessment
Index is including but not limited to alarm amount, effective percentage, volume of event.
Therefore data interaction information disclosed in this invention sentences different method with following advantages：It can be to coming from not
The excavation that effective processing and depth are carried out with the initial data interactive information in source is sentenced so as to more accurately carry out exception
It does not operate.
Fig. 2 is the schematic diagram that data interaction information according to an embodiment of the invention sentences different system.Such as Fig. 2 institutes
Show, it includes data collection module 1, data conversion and memory module 2, number that data interaction information disclosed in this invention, which sentences different system,
According to derivative and sentence anomalous mode block 3.Data collection module 1 is collected and is filtered（Such as de-redundancy）Magnanimity associated with monitored object is former
Beginning data interaction information（Such as financial transaction information）To obtain target data interactive information.2 turns of data conversion and memory module
It changes each target data interactive information and complies with predetermined reference format（Even if each target data interactive information
Uniform format）, and by transformed target data interactive information according to one or more attribute bedding storage.Data it is derivative and
Sentence anomalous mode block 3 and data derivation operation is carried out to generate derivative achievement data to the stored target data interactive information, and
The anomalous discrimination operation for the monitored object is executed based on the derivative achievement data therewith.
Preferably, in data interaction information disclosed in this invention sentences different system, the data conversion and memory module 2
Dimension of the predetermined standardization formula to periodicity and/or skewness in the target data interactive information can be used
It carries out conversion and complies with preassigned.
Preferably, in data interaction information disclosed in this invention sentences different system, the data are derivative and sentence anomalous mode block 3
Derivation operation is executed as follows：（1）According to the first attribute of the stored target data interactive information（Such as region
Attribute）Derivation operation is carried out to it to generate the first derivative achievement data（Such as zone index data）；（2）It has been deposited according to described
Second attribute of the target data interactive information of storage（Such as role attribute, such as bank's attribute, type of transaction etc.）To its into
Row derivation operation is to generate the second derivative achievement data（Such as role's achievement data）：（3）According to the stored number of targets
According to the third attribute of interactive information（Such as cyclic attributes）Derivation operation is carried out to it derives achievement data to generate third（Such as
Cyclical indicator data）：（4）According to the TPS trend of the stored target data interactive information（I.e. portfolio each second is upper
It rises, decline, smoothed trend）Derivation operation is carried out to generate some time piece（Such as 4 timeslices）Achievement data.
Preferably, in data interaction information disclosed in this invention sentences different system, the data are derivative and sentence anomalous mode block 3
The anomalous discrimination operation for monitored object is executed based on derivative achievement data as follows：（1）Derive based on described first
Achievement data, the second derivative achievement data, the third derive achievement data and the timeslice achievement data and lead to
The mode for crossing cluster classifies to the monitored object, and monitored object similar in feature is classified as one kind；（2）For each
Monitored object class is based on its attribute（Such as portfolio in financial transaction field, success rate, TPS trend etc.）Different want is sentenced in determination
Element, and sentence different element to identified and classify sentences that different factor kind is specified to sentence different regular grade to be each therewith；（3）It is every
It is a to sentence different regular tier definition and sentence different rule, wherein it is described sentence different rule and sentence different index set by data constitute, wherein data are sentenced different
Index set sentences different index comprising several data（Illustratively, in financial transaction field, the example that data sentence different index can wrap
Include lower list：It " is sent in no deal（I.e. bank interrupts and delivers easily）", " transaction success rate, failure stroke count, continuously fail stroke count "
And " trading volume negative variation（Trading volume moment glides i.e. in same TPS trend timeslice）”）；（4）For each monitoring pair
As sentencing different index set, and the finger by the monitored object under each timeslice according to the data of its characteristic matching corresponding thereto
Mark is sentenced corresponding data in different index set with a matched data and is sentenced compared with different index, and judges the prison according to comparison result
Whether control object is abnormal is sentenced different result to obtain.
Preferably, in data interaction information disclosed in this invention sentences different system, the data are sentenced different index set and are wrapped
The data contained sentence the threshold value of the particular characteristic value of different index definition monitored object.
Preferably, in data interaction information disclosed in this invention sentences different system, monitored object is defined as follows
Particular characteristic value threshold value：The normal fluctuation range of the particular characteristic value of monitored object is determined in such a way that batch is simulated,
Thereby determine that the threshold value of the particular characteristic value.
Preferably, data interaction information disclosed in this invention sentences different system and further comprises and alert and optimization module
4, the different result of sentencing obtained can be presented to the user by the alarm and optimization module 4 by way of alarm.
Preferably, in data interaction information disclosed in this invention sentences different system, the alarm and optimization module 4
The evaluation index that data sentence different index can be defined, and when the evaluation index actually calculated is more than baseline, trigger data is sentenced
Different index redefining and generating（Redefine and generate the threshold value of the particular characteristic value of monitored object）, wherein it is described
Evaluation index is including but not limited to alarm amount, effective percentage, volume of event.
Therefore data interaction information disclosed in this invention sentences different system with following advantages：It can be to coming from not
The excavation that effective processing and depth are carried out with the initial data interactive information in source is sentenced so as to more accurately carry out exception
It does not operate.
Although the present invention is described by above-mentioned preferred embodiment, way of realization is not limited to
Above-mentioned embodiment.It should be realized that：In the case where not departing from spirit and scope of the present invention, those skilled in the art can be with
Different change and modification are made to the present invention.
Claims (11)
1. a kind of data interaction information sentences different method, the data interaction information is sentenced different method and is included the following steps：
（A1）It collects and filters magnanimity initial data interactive information associated with monitored object to obtain target data interaction letter
Breath；
（A2）It converts each target data interactive information and complies with predetermined reference format, and by transformed target
Data interaction information is according to one or more attribute bedding storage；
（A3）Data derivation operation is carried out to the stored target data interactive information to generate derivative achievement data, and with
The anomalous discrimination for the monitored object executed based on the derivative achievement data operate.
2. data interaction information according to claim 1 sentences different method, which is characterized in that the step（A2）Further packet
It includes：Using predetermined standardization formula to the dimension of periodicity and/or skewness in the target data interactive information
It carries out conversion and complies with preassigned.
3. data interaction information according to claim 2 sentences different method, which is characterized in that the step（A3）Further packet
It includes：（1）Derivation operation is carried out according to the first attribute of the stored target data interactive information to it to generate first to spread out
Raw achievement data；（2）Derivation operation is carried out with life to it according to the second attribute of the stored target data interactive information
Derive achievement data at second：（3）It is derived according to the third attribute of the stored target data interactive information
Operation derives achievement data to generate third：（4）Spread out according to the TPS trend of the stored target data interactive information
Raw operation is to generate some time piece achievement data.
4. data interaction information according to claim 3 sentences different method, which is characterized in that the step（A3）Further packet
It includes：The anomalous discrimination for being directed to monitored object based on derivative achievement data execution, which operates, includes：（1）Derive based on described first
Achievement data, the second derivative achievement data, the third derive achievement data and the timeslice achievement data and lead to
The mode for crossing cluster classifies to the monitored object, and monitored object similar in feature is classified as one kind；（2）For each
Monitored object class sentences different element based on the determination of its attribute, and sentences different element to identified and classify, therewith for it is each sentence it is different
Factor kind is specified to sentence different regular grade；（3）Sentence different regular tier definition to be each and sentence different rule, wherein it is described sentence different rule by
Data are sentenced different index set and are constituted, and wherein data sentence different index set and sentence different index comprising several data；（4）For each monitoring pair
As sentencing different index set, and the finger by the monitored object under each timeslice according to the data of its characteristic matching corresponding thereto
Mark is sentenced corresponding data in different index set with a matched data and is sentenced compared with different index, and judges the prison according to comparison result
Whether control object is abnormal is sentenced different result to obtain.
5. data interaction information according to claim 4 sentences different method, which is characterized in that the data sentence different index set institute
Including data sentence different index definition monitored object particular characteristic value threshold value.
6. data interaction information according to claim 5 sentences different method, which is characterized in that definition monitoring pair as follows
The threshold value of the particular characteristic value of elephant：The normal fluctuation model of the particular characteristic value of monitored object is determined in such a way that batch is simulated
It encloses, thereby determines that the threshold value of the particular characteristic value.
7. data interaction information according to claim 1 sentences different method, which is characterized in that the step（A3）Further packet
It includes：The different result of sentencing obtained is presented to the user by way of alarm.
8. data interaction information according to claim 7 sentences different method, which is characterized in that the step（A3）Further packet
It includes：The evaluation index that data sentence different index is defined, and when the evaluation index actually calculated is more than baseline, trigger data is sentenced different
Index redefining and generating, wherein the evaluation index is including but not limited to alarm amount, effective percentage, volume of event.
9. a kind of data interaction information sentences different system, the data interaction information sentences different system and includes：
Data collection module, data collection module are collected and filter magnanimity initial data interactive information associated with monitored object
To obtain target data interactive information；
Data conversion and memory module, data conversion and each target data interactive information of memory module conversion comply with pre-
First determining reference format, and by transformed target data interactive information according to one or more attribute bedding storage；
Data are derivative and sentence anomalous mode block, and data are derivative and sentence anomalous mode block to the stored target data interactive information into line number
According to derivation operation to generate derivative achievement data, and executed therewith for the monitored object based on the derivative achievement data
Anomalous discrimination operates.
10. data interaction information according to claim 9 sentences different system, which is characterized in that the data are derivative and sentence different
Module executes derivation operation as follows：（1）According to the first attribute of the stored target data interactive information to it
Derivation operation is carried out to generate the first derivative achievement data；（2）According to the second of the stored target data interactive information
Attribute carries out it derivation operation to generate the second derivative achievement data：（3）According to the stored target data interaction letter
The third attribute of breath carries out it derivation operation and derives achievement data to generate third：（4）According to the stored number of targets
Derivation operation is carried out to generate some time piece achievement data according to the TPS trend of interactive information.
11. data interaction information according to claim 10 sentences different system, which is characterized in that the data are derivative and sentence different
Module executes the anomalous discrimination operation for monitored object based on derivative achievement data as follows：（1）Based on described first
Derivative achievement data, described second derive achievement data, third derivative achievement data and the timeslice achievement data
And classified to the monitored object by way of cluster, monitored object similar in feature is classified as one kind；（2）For
Each monitored object class is based on its attribute and determines to sentence different element, and sentences different element to identified and classify, and is each therewith
Sentence that different factor kind is specified to sentence different regular grade；（3）Sentence different regular tier definition to be each and sentence different rule, wherein is described to sentence different rule
Then sentence different index set by data to constitute, wherein data sentence different index set and sentence different index comprising several data；（4）For each monitoring
Object sentences different index set according to the data of its characteristic matching corresponding thereto, and by the monitored object under each timeslice
Index is sentenced corresponding data in different index set with a matched data and is sentenced compared with different index, and judging according to comparison result should
Whether monitored object is abnormal is sentenced different result to obtain.
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|---|---|---|---|---|
| CN1924924A (en) * | 2006-09-21 | 2007-03-07 | 中国工商银行股份有限公司 | Method and system for testing and evaluating financial investment object data |
| CN102496126A (en) * | 2011-12-02 | 2012-06-13 | 中国工商银行股份有限公司 | Custody asset transaction data monitoring equipment |
| CN103414601A (en) * | 2013-07-19 | 2013-11-27 | 广东电网公司电力调度控制中心 | Method and system for detecting data for communication resource management system |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1924924A (en) * | 2006-09-21 | 2007-03-07 | 中国工商银行股份有限公司 | Method and system for testing and evaluating financial investment object data |
| CN102496126A (en) * | 2011-12-02 | 2012-06-13 | 中国工商银行股份有限公司 | Custody asset transaction data monitoring equipment |
| CN103414601A (en) * | 2013-07-19 | 2013-11-27 | 广东电网公司电力调度控制中心 | Method and system for detecting data for communication resource management system |
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