CN105653587B - Heterologous isomeric data cleaning method and its system - Google Patents
Heterologous isomeric data cleaning method and its system Download PDFInfo
- Publication number
- CN105653587B CN105653587B CN201510967231.4A CN201510967231A CN105653587B CN 105653587 B CN105653587 B CN 105653587B CN 201510967231 A CN201510967231 A CN 201510967231A CN 105653587 B CN105653587 B CN 105653587B
- Authority
- CN
- China
- Prior art keywords
- data
- title
- header line
- column
- file
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Quality & Reliability (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a kind of heterologous isomeric data cleaning method and its systems, which comprises default header line；It is loaded into title feature library and file data, the title feature library storage includes the mapping relations of title and title in the file data in the default header line；The every data line for traversing the file data, determines header line；The each column data for traversing the header line determines the title of each column data；According to the title feature library, the title of each column data corresponding title in the default header line is determined；Each column data is added in the default header line under corresponding title.By using title feature library, automatic identification title, resolution file data, Auto-matching title bar, cost of labor has been saved, the accuracy and convenience of data cleansing are improved, and has been applicable to the file and data of multiple format, it is adaptable, it can cleaning problem that is general, generally solving heterologous isomeric data.
Description
Technical field
The present invention relates to data cleansing field more particularly to a kind of heterologous isomeric data cleaning method and its systems.
Background technique
Heterologous isomeric data refers to that caption position is not known in data content, the uncertain number of files of content item locations
According to.Cleaning of the product currently on the market to heterologous isomeric data is all to need to establish template manually, specified title position, this
The operation of sample is very inconvenient；Once file header contents and project order have any variation, caption position is reassigned again, is built
Vertical new template.
In the patent publication application No. is 201310388420.7, a kind of data mart modeling of heterogeneous data source is proposed
Processing method, comprising the following steps: data are obtained from heterogeneous data source；According to preset data template to data carry out load and
Classification, and be stored in the data of every one kind in temporary storage cell respectively according to classification results；To being stored in temporary storage cell
Data carry out unification conversion to obtain meeting the data of preset data structure, and according to predetermined demand to the data after conversion
It merges and summarizes that data meet data analysis requirements so that treated.The disclosure will be from different isomeric datas
It is the data for meeting data analysis and needing that data in source, which unify working process, but this method needs preset data template and data
Structure, data structure also will accordingly change if data template changes, and also occupy the memory of interim storage.
Summary of the invention
It, can be with the technical problems to be solved by the present invention are: provide a kind of heterologous isomeric data cleaning method and its system
Improve the accuracy and convenience of heterologous isomeric data cleaning.
In order to solve the above-mentioned technical problem, the technical solution adopted by the present invention are as follows: a kind of heterologous isomeric data cleaning method,
Including
Default header line；
It is loaded into title feature library and file data, the title feature library storage includes the title in the default header line
With the mapping relations of title in the file data；
The every data line for traversing the file data, determines header line；
The each column data for traversing the header line determines the title of each column data；
According to the title feature library, the title of each column data corresponding mark in the default header line is determined
Topic；
Each column data is added in the default header line under corresponding title.
The invention further relates to a kind of heterologous isomeric data cleaning systems, including
Presetting module, for presetting header line；
It insmods, for being loaded into title feature library and file data, the title feature library storage includes described default
The mapping relations of title in title and the file data in header line；
First spider module determines header line for traversing every data line of the file data；
Second spider module determines the title of each column data for traversing each column data of the header line；
First determining module, for determining the title of each column data described pre- according to the title feature library
If corresponding title in header line；
Molded tissue block, for each column data to be added in the default header line under corresponding title.
The beneficial effects of the present invention are: by using title feature library, automatic identification title, resolution file data, from
Dynamic matching title bar, is not necessarily to manpower intervention, has saved cost, improved the accuracy and convenience of data cleansing, and can fit
It is adaptable for the file and data of multiple format, it can cleaning problem that is general, generally solving heterologous isomeric data.
Detailed description of the invention
Fig. 1 is a kind of flow chart of heterologous isomeric data cleaning method of the present invention；
Fig. 2 is the method flow diagram of the embodiment of the present invention one；
Fig. 3 is the original file data of the embodiment of the present invention one；
Fig. 4 is the file data after the cleaning of the embodiment of the present invention one；
Fig. 5 is a kind of structural schematic diagram of heterologous isomeric data cleaning system of the present invention；
Fig. 6 is the system structure diagram of the embodiment of the present invention three；
Fig. 7 is the structural schematic diagram of the preprocessing module of the embodiment of the present invention four.
Label declaration:
1, presetting module；2, it insmods；3, the first spider module；4, the second spider module；5, the first determining module；6,
Molded tissue block；7, first judgment module；8, preprocessing module；9, the second judgment module；10, the second determining module；11, third is sentenced
Disconnected module；12, third determining module；13, update module；
801, the first Traversal Unit；802, the first judging unit；803, the first storage unit；804, the second storage unit；
1001, the first statistic unit；1002, first acquisition unit；1003, the first determination unit；
1201, the second statistic unit；1202, second acquisition unit；1203, the second determination unit；
1301, receiving unit；1302, unit is modified.
Specific embodiment
To explain the technical content, the achieved purpose and the effect of the present invention in detail, below in conjunction with embodiment and cooperate attached
Figure is explained in detail.
The most critical design of the present invention is: introducing title feature library, pass through title feature library intelligent Matching title.
Referring to Fig. 1, a kind of heterologous isomeric data cleaning method, including
Default header line；
It is loaded into title feature library and file data, the title feature library storage includes the title in the default header line
With the mapping relations of title in the file data；
The every data line for traversing the file data, determines header line；
The each column data for traversing the header line determines the title of each column data；
According to the title feature library, the title of each column data corresponding mark in the default header line is determined
Topic；
Each column data is added in the default header line under corresponding title.
As can be seen from the above description, the beneficial effects of the present invention are: default header line, and it is pre- by the storage of title feature library
It, can title and its default in the heterologous heterogeneous file data of Auto-matching if the mapping relations of title bar and title in header line
Corresponding title in header line is effectively guaranteed the accuracy and convenience of data cleansing.
Further, after described " each column data for traversing the header line ", further comprise:
If column data no title, the column data is counted, according to characteristic probability, obtains the title of the column data, really
The title of the fixed column data corresponding title in the default header line.
Further, after described " the every data line for traversing the file data ", further comprise:
If no title row, count the data of each column, according to characteristic probability, obtain the title of column data, determine described in
The title of column data corresponding title in the default header line.
Seen from the above description, it is counted by characteristic probability, can realize title match to untitled column data, further
Improve the convenience of data cleansing.
Further, described " according to the title feature library, to determine the title of each column data in the pre- bidding
After corresponding title in topic row ", further comprise:
Receive the modification information to the mapping relations；
It is corresponding to modify the mapping relations according to the modification information.
Seen from the above description, by the mapping relations in artificial feedback modification title feature library, number is further improved
According to the accuracy of cleaning.
Further, after described " being loaded into title feature library and file data " further include:
If file data is more heading file data, more heading file data are pre-processed, split more marks
Topic file data is multiple single heading file data.
Further, the preprocessing process specifically: every data line of traversal more heading file data, if
Header line then saves the data before the header line into a file, and saves the header line into another file；
If not header line, then save in the file where the row data to previous header line.
Seen from the above description, a variety of file datas be present invention can be suitably applied to, there is very strong versatility, it is generally applicable, complete
Solve the problems, such as to face the cleaning of heterologous isomeric data.
The present invention also proposes a kind of heterologous isomeric data cleaning system, including
Presetting module, for presetting header line；
It insmods, for being loaded into title feature library and file data, the title feature library storage includes described default
The mapping relations of title in title and the file data in header line；
First spider module determines header line for traversing every data line of the file data；
Second spider module determines the title of each column data for traversing each column data of the header line；
First determining module, for determining the title of each column data described pre- according to the title feature library
If corresponding title in header line；
Molded tissue block, for each column data to be added in the default header line under corresponding title.
It further, further include the second determining module and third determining module；
Second determining module includes
First statistic unit counts the column data if being used for the column data no title；
First acquisition unit, for obtaining the title of the column data according to characteristic probability；
First determination unit, for determining the title of the column data corresponding title in the default header line；
The third determining module includes
Second statistic unit counts the data of each column if being used for no title row；
Second acquisition unit, for obtaining the title of column data according to characteristic probability；
Second determination unit, for determining the title of the column data corresponding title in the default header line.
It further, further include update module, the update module includes
Receiving unit, for receiving the modification information to mapping relations；
Unit is modified, for according to the modification information, the corresponding modification mapping relations.
Further, further include
Preprocessing module locates more heading file data if being more heading file data for file data in advance
Reason, splitting more heading file data is multiple single heading file data.
The preprocessing module includes
First Traversal Unit, for traversing every data line of more heading file data；
First storage unit then saves the data before the header line into a file for if header line, and
The header line is saved into another file；
Second storage unit then saves the file where the row data to previous header line if not being used for header line
In.
Embodiment one
Please refer to Fig. 1-2, the embodiment of the present invention one are as follows: a kind of heterologous isomeric data cleaning method includes the following steps:
S1: default header line, the default preset header field of title behavior.
S2: being loaded into title feature library and file data, and the title feature library storage includes the title in default header line
With the mapping relations of the title in file data, the file data can be the lattice such as txt, csv, xls, xlsx, pdf or html
Formula.
S3: judging whether loaded file data is more heading file data, if then first carry out S4 executes S5 again, if
Otherwise S5 is directly executed.
S4: pre-processing more heading file data, and more heading file data are split as multiple single titles
File data.
S5: every data line of the file data is traversed.
S6: judge that whether header row if nothing executes S7 to the file data, executes S8 if having.
S7: counting the data of each column, according to characteristic probability, obtains the title of column data, determines the mark of the column data
Topic corresponding title in the default header line；For example, for communication data, if having 80% in the untitled data of column
Data be time format, then it is assumed that the column data may be the air time, if exist in default header line " air time " this
It one title and is not yet matched, then matches the column data with " air time " in default header line；If in a column data
It is " caller " more than 80% data, " called ", " short message caller " or " short message is called ", then it is assumed that the corresponding title of the column data
For type of call, which is matched with " type of call " in default header line.
S8: determining header line, traverses each column data of header line.
S9: judging whether the column data has title, if there is title, executes S10, if no title, executes S11.
S10: according to the title feature library, determine that the title of each column data is corresponding in the default header line
Title.
S11: counting the column data, according to characteristic probability, obtains the title of the column data, determines the column data
Title corresponding title in the default header line.
S12: organizing each column data, and each column data is added in the default header line under corresponding title；
It optionally, further include that the format of system needs is converted the data into according to the corresponding title；For example, for the special time
Configuration file can be used in format, is matched by canonical, is converted into the time format of system needs, such as yyyy-mm-dd HH:MM:
ss；Optionally, if having the format of individual data undesirable in column data, for example, having a in the data of time format
Data include Chinese character, then delete the data.
Optionally, if corresponding title is wrong in discovery step S10, pass through artificially feedback modification mapping relations, system
Modification information is received, it is corresponding to modify the mapping relations according to modification information, it realizes the update to title feature library, improves number
According to the accuracy of cleaning.It is alternatively possible to mapping relations are directly modified, it can also be right by modifying the title institute of default header line
The title answered modifies mapping relations.
As shown in Figure 3-4, corresponding title in header line is preset in the second behavior figure 4 in Fig. 3, according in file data
Title and the title in default header line mapping relations, automatic identification matching, final result is as shown in Figure 4.Optionally, most
Column data can be can also directly be added under corresponding title as shown in figure 4, indicate column data with address by termination fruit.
The present embodiment be suitable for a variety of heterologous isomeric datas, and can intelligent Matching and intelligence learning, it is versatile.
Embodiment two
The present embodiment is a kind of specific implementation of step S4 in embodiment one, and something in common is not repeated.
Step S4 can specifically include: every data line of traversal more heading file data is then protected if header line
The data before the header line are deposited into a file, and save the header line into another file；If not title
Row then saves in the file where the row data to previous header line.
Embodiment three
Referring to figure 5. -6, a kind of heterologous isomeric data cleaning system, including presetting module 1, insmod 2, first traversal
Module 3, the second spider module 4, the first determining module 5 and molded tissue block 6.
The presetting module 1 is for presetting header line；
Described to insmod 2 for being loaded into title feature library and file data, the title feature library storage includes described
The mapping relations of title in title and the file data in default header line；
First spider module 3 is used to traverse every data line of the file data, determines header line；
Second spider module 4 is used to traverse each column data of the header line, determines each column data
Title；
First determining module 5 is used to determine the title of each column data in institute according to the title feature library
State corresponding title in default header line；
The molded tissue block 6 is for each column data to be added in the default header line under corresponding title.
The system further includes first judgment module 7 and preprocessing module 8；
The first judgment module 7 obtains the first judgement knot for judging whether file data is more heading file data
Fruit；
If the preprocessing module 8 for the first judging result be it is yes, more heading file data are pre-processed, are torn open
Dividing more heading file data is multiple single heading file data.
The system further includes the second judgment module 9, the second determining module 10, third judgment module 11 and third determining module
12；
Second judgment module 9 obtains the second judging result for judging whether the column data has title；
Second determining module 10 includes
First statistic unit 1001, if for the second judging result be it is no, count the column data；
First acquisition unit 1002, for obtaining the title of the column data according to characteristic probability；
First determination unit 1003, for determining the title of the column data corresponding mark in the default header line
Topic；
The third judgment module 11 for judge the file data whether header row, obtain third judging result；
The third determining module 12 includes
Second statistic unit 1201, if for third judging result be it is no, count the data of each column；
Second acquisition unit 1202, for obtaining the title of column data according to characteristic probability；
Second determination unit 1203, for determining the title of the column data corresponding mark in the default header line
Topic.
It further include update module 13, including
Receiving unit 1301, for receiving the modification information to mapping relations；
Unit 1302 is modified, for according to the modification information, the corresponding modification mapping relations.
Example IV
Fig. 7 is please referred to, the present embodiment is a kind of concrete structure diagram of preprocessing module 8 in embodiment three.
The preprocessing module 8 includes
First Traversal Unit 801, for traversing every data line of more heading file data；
First judging unit 802 obtains the 4th judging result for judging whether the row data are header line；
First storage unit 803, if for the 4th judging result be it is yes, save data before the header line to one
In a file, and the header line is saved into another file；
Second storage unit 804, if for the 4th judging result be it is no, save the row data to previous header line institute
File in.
In conclusion a kind of heterologous isomeric data cleaning method provided by the invention and its system, by using title spy
The mapping relations of title bar and title in the default header line of sign library storage, automatic identification title, resolution file data, automatic
With title bar, it is not necessarily to manpower intervention, cost has been saved, has improved the accuracy and convenience of data cleansing, and be applicable to
The file and data of multiple format, it is adaptable；Also by probability statistics realize title match, can it is general, generally solve
The cleaning problem of heterologous isomeric data；Also have the function of intelligence learning, modified by feedback, title feature library is updated, into one
Step improves the accuracy and convenience of data cleansing.
The above description is only an embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalents made by bright specification and accompanying drawing content are applied directly or indirectly in relevant technical field, similarly include
In scope of patent protection of the invention.
Claims (10)
1. a kind of heterologous isomeric data cleaning method, it is characterised in that: including
Default header line；
It is loaded into title feature library and file data, the title feature library storage includes title and institute in the default header line
State the mapping relations of title in file data；
The every data line for traversing the file data, determines header line；
The each column data for traversing the header line determines the title of each column data；
According to the title feature library, the title of each column data corresponding title in the default header line is determined；
Each column data is added in the default header line under corresponding title.
2. heterologous isomeric data cleaning method according to claim 1, it is characterised in that: described " to traverse the header line
Each column data " after, further comprise:
If column data no title, the column data is counted, according to characteristic probability, the title of the column data is obtained, determines institute
State the title of the column data corresponding title in the default header line.
3. heterologous isomeric data cleaning method according to claim 1, it is characterised in that: described " to traverse the number of files
According to every data line " after, further comprise:
If no title row, the data of each column are counted, according to characteristic probability, the title of column data is obtained, determines the columns
According to title in the default header line corresponding title.
4. heterologous isomeric data cleaning method according to claim 1, it is characterised in that: described " special according to the title
Library is levied, determines the title of each column data corresponding title in the default header line " after, further comprise:
Receive the modification information to the mapping relations；
It is corresponding to modify the mapping relations according to the modification information.
5. heterologous isomeric data cleaning method according to claim 1, it is characterised in that: described " to be loaded into title feature library
And file data " after further include:
If file data is more heading file data, more heading file data are pre-processed, split more heading-texts
Number of packages evidence is multiple single heading file data.
6. heterologous isomeric data cleaning method according to claim 5, it is characterised in that: the preprocessing process is specific
Are as follows: every data line of traversal more heading file data then saves the header line to a new text if header line
In part；If not header line, then save in the file where the row data to previous header line.
7. a kind of heterologous isomeric data cleaning system, it is characterised in that: including
Presetting module, for presetting header line；
It insmods, for being loaded into title feature library and file data, the title feature library storage includes the default title
The mapping relations of title in title and the file data in row；
First spider module determines header line for traversing every data line of the file data；
Second spider module determines the title of each column data for traversing each column data of the header line；
First determining module, for determining the title of each column data in the pre- bidding according to the title feature library
Corresponding title in topic row；
Molded tissue block, for each column data to be added in the default header line under corresponding title.
8. heterologous isomeric data cleaning system according to claim 7, it is characterised in that: further include the second determining module and
Third determining module；
Second determining module includes
First statistic unit counts the column data if being used for the column data no title；
First acquisition unit, for obtaining the title of the column data according to characteristic probability；
First determination unit, for determining the title of the column data corresponding title in the default header line；
The third determining module includes
Second statistic unit counts the data of each column if being used for no title row；
Second acquisition unit, for obtaining the title of column data according to characteristic probability；
Second determination unit, for determining the title of the column data corresponding title in the default header line.
9. heterologous isomeric data cleaning system according to claim 7, it is characterised in that: it further include update module, it is described
Update module includes
Receiving unit, for receiving the modification information to mapping relations；
Unit is modified, for according to the modification information, the corresponding modification mapping relations.
10. heterologous isomeric data cleaning system according to claim 7, it is characterised in that: further include
Preprocessing module pre-processes more heading file data, tears open if being more heading file data for file data
Dividing more heading file data is multiple single heading file data；
The preprocessing module includes
First Traversal Unit, for traversing every data line of more heading file data；
First storage unit, for if header line, then saving the header line into a new file；
Second storage unit then saves in the file where the row data to previous header line if not being used for header line.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510967231.4A CN105653587B (en) | 2015-12-21 | 2015-12-21 | Heterologous isomeric data cleaning method and its system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510967231.4A CN105653587B (en) | 2015-12-21 | 2015-12-21 | Heterologous isomeric data cleaning method and its system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105653587A CN105653587A (en) | 2016-06-08 |
| CN105653587B true CN105653587B (en) | 2019-02-19 |
Family
ID=56477414
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510967231.4A Active CN105653587B (en) | 2015-12-21 | 2015-12-21 | Heterologous isomeric data cleaning method and its system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105653587B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109740130B (en) * | 2018-11-22 | 2022-12-09 | 厦门市美亚柏科信息股份有限公司 | Method and device for generating file |
| CN112905845B (en) * | 2021-03-17 | 2022-06-21 | 重庆大学 | Multi-source unstructured data cleaning method for discrete intelligent manufacturing application |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102200968A (en) * | 2011-05-30 | 2011-09-28 | 深圳市五巨科技有限公司 | Method and device for removing duplications of EXCEL form data |
| CN103218365A (en) * | 2012-01-20 | 2013-07-24 | 阿里巴巴集团控股有限公司 | SS Table file data processing method and system |
| CN103412956A (en) * | 2013-08-30 | 2013-11-27 | 北京中科江南软件有限公司 | Data processing method and system for heterogeneous data sources |
| CN103943182A (en) * | 2013-01-22 | 2014-07-23 | 安徽凯博尔特种电缆集团有限公司 | Flexibility control cable for ocean engineering |
| CN104915450A (en) * | 2015-07-01 | 2015-09-16 | 武汉大学 | HBase-based big data storage and retrieval method and system |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101535703B1 (en) * | 2012-09-28 | 2015-07-09 | 삼성에스디에스 주식회사 | Apparatus and method for converting Value Object |
-
2015
- 2015-12-21 CN CN201510967231.4A patent/CN105653587B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102200968A (en) * | 2011-05-30 | 2011-09-28 | 深圳市五巨科技有限公司 | Method and device for removing duplications of EXCEL form data |
| CN103218365A (en) * | 2012-01-20 | 2013-07-24 | 阿里巴巴集团控股有限公司 | SS Table file data processing method and system |
| CN103943182A (en) * | 2013-01-22 | 2014-07-23 | 安徽凯博尔特种电缆集团有限公司 | Flexibility control cable for ocean engineering |
| CN103412956A (en) * | 2013-08-30 | 2013-11-27 | 北京中科江南软件有限公司 | Data processing method and system for heterogeneous data sources |
| CN104915450A (en) * | 2015-07-01 | 2015-09-16 | 武汉大学 | HBase-based big data storage and retrieval method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105653587A (en) | 2016-06-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101452523B (en) | Handwriting table identification method and apparatus | |
| US20150154763A1 (en) | Control system and method for controlling background colors for mobile terminal | |
| CN104408169B (en) | Dimension querying method and device based on Multidimensional Expressions language | |
| CN110110652B (en) | Target detection method, electronic device and storage medium | |
| CN110781839A (en) | Sliding window-based small and medium target identification method in large-size image | |
| CN105653587B (en) | Heterologous isomeric data cleaning method and its system | |
| CN105225335A (en) | A kind of stained recognition methods of paper money number and system | |
| CN103093181A (en) | License plate image locating method and device | |
| US11222431B2 (en) | Feature processing method and device for motion trajectory, and computer storage medium | |
| CN106528821B (en) | A method of it changing column data and imports database | |
| CN112287768A (en) | Smoke extraction identification method, device, equipment and storage medium for logistics warehouse | |
| CN104182348B (en) | Software test method and device | |
| CN102467525A (en) | Document associating method and system | |
| CN106557426A (en) | A kind of method and system for analyzing Android ends application operation fluency | |
| CN110458115A (en) | A kind of integrated algorithm of target detection of the multiframe based on timing | |
| CN113096060B (en) | Positioning method and device for abnormal color lamp beads and storage medium | |
| CN101676908A (en) | Method and device for detecting integrity of database objects | |
| CN104462322B (en) | Character string comparison method and device | |
| CN106127202A (en) | The method of character recognition and device in a kind of picture | |
| CN106777220A (en) | A kind of processing method of the continuous unusual fluctuation of power distribution network artwork | |
| CN106331279B (en) | A kind of Display Realization method and device of address list | |
| CN103246426B (en) | It is a kind of to realize the method and device handled multiple icons | |
| CN108428347A (en) | A kind of vehicle count method and system based on more detection zones | |
| US9715748B2 (en) | Method and apparatus for graphical data interaction and vizualization of graphs via paths | |
| CN107509103B (en) | Method for storage management and page layout of EPG data of smart television |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CB03 | Change of inventor or designer information | ||
| CB03 | Change of inventor or designer information |
Inventor after: Jiang Hanxiang Inventor after: Ni Wenguan Inventor before: Ni Wenguan Inventor before: Jiang Hanxiang |