CN109558508B - Data mining method and device, computer equipment and storage medium - Google Patents
Data mining method and device, computer equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a data mining method, a data mining device, computer equipment and a storage medium, wherein the method comprises the following steps: storing the data in the data set in a classified manner, and displaying the classified result to a user through a data page; and when a data mining request of a user for any displayed classification is received, data mining is carried out according to a mining mode selected by the user, and data is supplemented to the classification according to a mining result. By applying the scheme of the invention, the excavating efficiency and the like can be improved.
Description
[ technical field ] A method for producing a semiconductor device
The present invention relates to computer application technologies, and in particular, to a data mining method, apparatus, computer device, and storage medium.
[ background of the invention ]
Currently, a user may perform training of a correlation model based on a large amount of collected data, which may be pictures or the like.
When a data set needs to be updated, if pictures need to be added, the following processing methods are generally adopted: and manually searching the pictures, selecting the pictures meeting the requirements from the searched pictures, and supplementing the pictures into the data set.
In the above-described system, manual operation by a person is required, which is inefficient and requires a large amount of labor cost.
[ summary of the invention ]
In view of the above, the invention provides a data mining method, an apparatus, a computer device and a storage medium.
The specific technical scheme is as follows:
a method of data mining, comprising:
storing the data in the data set in a classified manner, and displaying the classified result to a user through a data page;
and when a data mining request of a user for any displayed classification is received, data mining is carried out according to a mining mode selected by the user, and data is supplemented to the classification according to a mining result.
According to a preferred embodiment of the invention, the method further comprises: when a data set uploading request of a user is received, data uploaded by the user is obtained, and the uploaded data is supplemented into the existing classification and/or supplemented into a newly-built classification.
According to a preferred embodiment of the invention, the method further comprises: when a data uploading request of a user aiming at any classification is received, the data uploaded by the user is obtained, and the uploaded data is supplemented into the classification.
According to a preferred embodiment of the invention, the method further comprises one or all of:
when a preview request of a user for any classification is received, displaying the data in the classification to the user;
and acquiring and saving the edit made by the user on the displayed data.
According to a preferred embodiment of the present invention, the data is a picture, and the mining of the data according to the mining method selected by the user includes one or all of the following:
data mining is carried out according to the text label selected by the user;
and data mining is carried out according to the picture selected by the user.
According to a preferred embodiment of the present invention, the data mining according to the text label selected by the user includes:
and displaying the classified text label list for the user, searching pictures according to the text labels selected by the user from the text label list, and taking the searched pictures as mining results.
According to a preferred embodiment of the invention, the method further comprises one or all of:
after the classified text label list is displayed for the user, if an editing request of the user is received, the editing operation of the user on the text label list is obtained and stored;
and after the classified text label list is displayed for the user, if an adding request of the user is received, obtaining and storing the adding operation of the user aiming at the text label list.
According to a preferred embodiment of the present invention, the operation of acquiring and saving the addition operation performed by the user for the text label list includes one or all of the following:
acquiring a text label input by a user, and adding the text label input by the user into the text label list;
determining the pictures selected by the user from the pictures in the classification, performing picture word guessing on the selected pictures to obtain text labels corresponding to the selected pictures, obtaining the text labels selected by the user from the obtained text labels, and adding the selected text labels to the text label list.
According to a preferred embodiment of the present invention, the data mining according to the picture selected by the user includes:
determining pictures selected by a user from the pictures in the classification;
and searching pictures according to the selected pictures, and taking the searched pictures as mining results.
According to a preferred embodiment of the present invention, said supplementing data into said classification according to the mining result comprises:
and supplementing data selected by a user from the mining result into the classification.
A data mining device, comprising: a first processing unit and a second processing unit;
the first processing unit is used for storing the data in the data set in a classified manner and displaying the classified result to a user through a data page;
and the second processing unit is used for mining data according to a mining mode selected by a user when receiving a data mining request of the user for any displayed classification, and supplementing data into the classification according to a mining result.
According to a preferred embodiment of the present invention, the second processing unit is further configured to, when receiving a data set uploading request from a user, obtain data uploaded by the user, and add the uploaded data to an existing category and/or a newly created category.
According to a preferred embodiment of the present invention, the second processing unit is further configured to, when receiving a data upload request of a user for any category, obtain data uploaded by the user, and supplement the uploaded data into the category.
According to a preferred embodiment of the invention, the second processing unit is further adapted to perform one or all of the following operations:
when a preview request of a user for any classification is received, displaying the data in the classification to the user;
and acquiring and saving the edit made by the user on the displayed data.
According to a preferred embodiment of the present invention, the data is a picture, and the data mining performed by the second processing unit according to the mining method selected by the user includes one or all of the following steps:
data mining is carried out according to the text label selected by the user;
and data mining is carried out according to the picture selected by the user.
According to a preferred embodiment of the present invention, the second processing unit displays the classified text label list for the user, performs picture search according to the text label selected by the user from the text label list, and uses the searched picture as a mining result.
According to a preferred embodiment of the invention, the second processing unit is further adapted to perform one or all of the following operations:
after the classified text label list is displayed for the user, if an editing request of the user is received, the editing operation of the user on the text label list is obtained and stored;
and after the classified text label list is displayed for the user, if an adding request of the user is received, obtaining and storing the adding operation of the user aiming at the text label list.
According to a preferred embodiment of the present invention, the operation of the second processing unit to acquire and save the addition operation performed by the user on the text label list includes one or all of the following:
acquiring a text label input by a user, and adding the text label input by the user into the text label list;
determining the pictures selected by the user from the pictures in the classification, performing picture word guessing on the selected pictures to obtain text labels corresponding to the selected pictures, obtaining the text labels selected by the user from the obtained text labels, and adding the selected text labels to the text label list.
According to a preferred embodiment of the present invention, the second processing unit determines a picture selected by the user from the pictures in the category, performs picture search according to the selected picture, and uses the searched picture as a mining result.
According to a preferred embodiment of the present invention, the second processing unit supplements user selected data from the mining results into the classification.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method as described above when executing the program.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method as set forth above.
Based on the introduction, the scheme of the invention can store the data in the data set in a classified manner, can display the classification result to the user through the data page, can automatically perform data mining according to the mining mode selected by the user when receiving the data mining request of the user for any displayed classification, and can further supplement the data to the classification according to the mining result.
[ description of the drawings ]
FIG. 1 is a flowchart of an embodiment of a data mining method according to the present invention.
FIG. 2 is a first diagram of a data page according to the present invention.
FIG. 3 is a second schematic diagram of a data page according to the present invention.
Fig. 4 is a schematic diagram of an upload data set page according to the present invention.
Fig. 5 is a schematic diagram of a data upload page according to the present invention.
FIG. 6 is a schematic diagram of a data mining page according to the present invention.
Fig. 7 is a schematic diagram of a text label adding page according to the present invention.
FIG. 8 is a diagram illustrating a mining result displayed in a result box according to the present invention.
Fig. 9 is a schematic structural diagram of a data mining device according to an embodiment of the present invention.
FIG. 10 illustrates a block diagram of an exemplary computer system/server 12 suitable for use in implementing embodiments of the present invention.
[ detailed description ] embodiments
In order to make the technical solution of the present invention clearer and more obvious, the solution of the present invention is further described below by referring to the drawings and examples.
It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The term "and/or" appearing herein is merely one type of associative relationship that describes an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
FIG. 1 is a flowchart of an embodiment of a data mining method according to the present invention. As shown in fig. 1, the following detailed implementation is included.
In 101, the data in the data set is classified and saved, and the classification result is displayed to the user through the data page.
At 102, when a data mining request of a user for any displayed classification is received, data mining is carried out according to a mining mode selected by the user, and data is supplemented to the classification according to a mining result.
In this embodiment, the data in the dataset of the current version may be classified and stored, and the classification may be refined. For example, the category of bird can be detailed as magpie, rhododendron, etc.
The data may be any form of data, and preferably, the data is a picture. The scheme of this embodiment will be described below by taking the picture as an example.
The classification results may be presented to the user via a data page. The data page may further include other information in addition to the classification result. As shown in fig. 2, fig. 2 is a first schematic diagram of a data page according to the present invention, in which classification results, such as different classifications and the number of pictures in different classifications, can be displayed, and buttons such as "data upload", "data mining", "preview", "upload data set", and "save data" can be further displayed, and training can be directly initiated after data is saved.
As shown in fig. 2, the user may also view a data page of the historical version, so as to present another data page shown in fig. 3, fig. 3 is a second schematic diagram of the data page according to the present invention, as shown in fig. 3, through which each previously used data set version may be viewed, the data set may have a number of changes, a variety of changes, a picture quality change, and the like in the course of version iteration, and training may be reinitiated for the data set of the historical version.
For the data page of the current version shown in fig. 2, when a request for uploading a data set is received from a user, the data uploaded by the user can be acquired, and the uploaded data can be supplemented into an existing category and/or a newly created category according to the naming mode of the uploaded data and the like.
If it is determined that the user clicks the "upload data set" button shown in fig. 2, the page shown in fig. 4 may be presented for the user, fig. 4 is a schematic diagram of the upload data set page according to the present invention, and the user may upload pictures in the form of links or compressed packets, and may need to upload pictures according to a predetermined format, such as a naming method, so that the uploaded pictures may be classified according to the naming method, and supplemented to a corresponding category, and if there is no corresponding category, a corresponding category may be newly created and supplemented to a newly created category, and so on.
For the data page of the current version shown in fig. 2, when a data upload request of a user for any category is received, the data uploaded by the user can be acquired and supplemented to the category.
If it is determined that the user clicks the "data upload" button shown in fig. 2, the page shown in fig. 5 may be presented to the user, fig. 5 is a schematic diagram of the data upload page according to the present invention, and the user may upload a local picture as required, so as to supplement the uploaded picture into the "swallow" category.
For the current version of the data page shown in FIG. 2, when a user preview request for any of the categories is received, the data in that category may be presented to the user.
For any classification, for example, when it is determined that the user clicks the "preview" button after the classification shown in fig. 2, the pictures under the classification can be displayed to the user for the user to preview.
Furthermore, the user's edits made to the displayed data may also be obtained and saved, for example, the user may select a part of the displayed picture, and perform a deletion operation, etc.
For the data page of the current version shown in fig. 2, when a data mining request of a user for any displayed classification is received, data mining can be performed according to a mining mode selected by the user, and data can be supplemented to the classification according to a mining result.
For example, when it is determined that the user clicks the "data mining" button shown in fig. 2, the page shown in fig. 6 may be presented to the user, fig. 6 is a schematic diagram of the data mining page according to the present invention, data mining may be performed according to a mining method selected by the user, for example, data mining may be performed according to a text tag (i.e., a keyword shown in the figure) selected by the user, and/or data mining may be performed according to a picture selected by the user, that is, a text search map (i.e., a keyword search map shown in the figure) may be employed, or a graph search map may be employed, which are described below separately.
1) Searching pictures in characters
As shown in fig. 6, when a data mining request of a user for the displayed "swallow" category is received, a text label list under the category may be displayed for the user, where the text labels include text labels such as "swallow ×", and the user may directly select one or more text labels, and further may perform picture search according to the text labels selected by the user, and use the searched pictures as mining results.
In addition, the user may also perform editing and/or adding operations on the presented text label list, such as clicking the "edit" and "add" buttons shown in FIG. 6, respectively. Accordingly, after the classified text label list is displayed for the user, if an editing request of the user is received, the editing operation of the user on the text label list can be obtained and saved, and/or after the classified text label list is displayed for the user, if an adding request of the user is received, the adding operation of the user on the text label list can be obtained and saved.
The editing operation performed on the text label list may include deleting a text label, modifying the content of the text label, and the like.
The adding operation to the text label list may include: acquiring text labels input by a user, adding the text labels input by the user into a text label list, and/or determining pictures selected by the user from the pictures in the classification, carrying out picture word guessing on the selected pictures to obtain text labels corresponding to the selected pictures, acquiring the text labels selected by the user from the obtained text labels, and adding the selected text labels into the text label list.
After the user clicks the "add" button, the page shown in fig. 7 can be presented for the user, and fig. 7 is a schematic diagram of the text label adding page, as shown in fig. 7, the text label input by the user in the input box can be directly obtained, the text label input by the user is added to the text label list, and/or after the user clicks the "picture word guess" button, the pictures classified by the "swallow" are presented to the user, and the picture selected by the user can be determined, one or more than one picture can be determined, and then the text label corresponding to each picture selected by the user can be respectively generated by using the existing picture word guess technology, so that the text label selected by the user from the generated text labels can be obtained, and the selected text label is added to the text label list.
A user may select one or more text tags from the text tag list, and further may perform a picture search according to the selected text tags, for example, a search may be performed from a network, and the searched picture is used as a mining result and displayed in a result box, as shown in fig. 8, where fig. 8 is a schematic diagram illustrating a mining result displayed in a result box according to the present invention. The user can select the pictures meeting the requirements from the mining results through observation, judgment and the like, the pictures are used as positive samples to be added into the swallow classification, and the pictures not meeting the requirements can be added into the negative samples. For example, the mining result includes 12 pictures, 10 of which are swallow pictures and the other 2 of which are penguin pictures, and then 10 of the swallow pictures can be used as positive samples and 2 of the penguin pictures can be used as negative samples.
2) Searching picture by picture
In this way, data mining can be performed in a graph searching manner according to the picture selected by the user.
After the fact that the user clicks the button of adding pictures shown in the figure 6 is confirmed, the pictures under the classification of the swallows can be displayed to the user, the pictures selected by the user from the displayed pictures are obtained, further, the pictures can be searched according to the selected pictures, if the pictures can be searched from the network, the searched pictures are used as mining results and displayed in a result frame, the user can select the pictures meeting the requirements from the mining results through observation, judgment and the like, the pictures are used as positive samples to be added into the classification of the swallows, and the pictures not meeting the requirements can be added into the negative samples.
It should be noted that the foregoing method embodiments are described as a series of acts or combinations for simplicity in explanation, but it should be understood by those skilled in the art that the present invention is not limited by the illustrated order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
In summary, the method of the present invention can automatically perform data mining according to the mining method selected by the user, and can supplement data to the corresponding classification according to the mining result, compared with the mining method operated manually, the method of the present invention can significantly save labor cost, improve mining efficiency, and can automatically supplement the mined data to the corresponding classification, thereby facilitating management and maintenance of the data.
The above is a description of method embodiments, and the embodiments of the present invention are further described below by way of apparatus embodiments.
Fig. 9 is a schematic structural diagram of a data mining device according to an embodiment of the present invention. As shown in fig. 9, includes: a first processing unit 901 and a second processing unit 902.
The first processing unit 901 is configured to store the data in the data set in a classified manner, and display the classification result to the user through a data page.
And the second processing unit 902 is configured to, when receiving a data mining request of a user for any displayed category, perform data mining according to a mining method selected by the user, and supplement data to the category according to a mining result.
In this embodiment, the data in the dataset of the current version may be classified and stored, and the classification may be refined. For example, the category of bird can be detailed as magpie, rhododendron, etc.
The first processing unit 901 may present the classification result to the user through a data page. The data page may further include other information in addition to the classification result, as shown in fig. 2.
The user can also view a data page of the historical version, as shown in fig. 3, through the data page, versions of data sets that have been used before can be viewed, the data sets may have a change in quantity, a change in category, a change in picture quality, and the like in the process of version iteration, and training and the like can be reinitiated for the data sets of the historical version.
The second processing unit 902 may obtain data uploaded by the user when receiving a data set uploading request from the user, and supplement the uploaded data into an existing category and/or a new category.
The second processing unit 902 may further obtain data uploaded by the user and supplement the uploaded data to any category when receiving a data upload request of the user for the category.
In addition, the second processing unit 902 may further perform one or all of the following operations: when a preview request of a user for any classification is received, displaying the data in the classification to the user; the edits made by the user to the presented data are captured and saved.
Preferably, the data is a picture, and the data mining performed by the second processing unit 902 according to the mining mode selected by the user may include one or all of the following: data mining is carried out according to the text label selected by the user; and data mining is carried out according to the picture selected by the user.
When data mining is performed according to the text label selected by the user, the second processing unit 902 may display the text label list in the classification for the user, perform picture search according to the text label selected by the user from the text label list, and use the searched picture as a mining result.
The second processing unit 902 may further perform one or all of the following operations: after the classified text label list is displayed for the user, if an editing request of the user is received, the editing operation of the user on the text label list is obtained and stored; after the classified text label list is displayed for the user, if an adding request of the user is received, the adding operation of the user on the text label list is obtained and stored.
The second processing unit 902 may acquire and save the addition operation performed by the user on the text label list, which may include one or all of the following: acquiring a text label input by a user, and adding the text label input by the user into a text label list; determining the pictures selected by the user from the pictures in the classification, performing picture word guessing on the selected pictures to obtain text labels corresponding to the selected pictures, obtaining the text labels selected by the user from the obtained text labels, and adding the selected text labels to a text label list.
When data mining is performed according to the picture selected by the user, the second processing unit 902 may first determine the picture selected by the user from the pictures in the category, and may further perform picture search according to the selected picture, and use the searched picture as a mining result.
Subsequently, the second processing unit 902 may supplement the data, i.e. pictures, selected by the user from the mining results into the corresponding classification.
For a specific work flow of the apparatus embodiment shown in fig. 9, please refer to the related description in the foregoing method embodiment, which is not repeated.
In short, the scheme of the embodiment of the device can automatically mine data according to the mining mode selected by a user and supplement data to corresponding classifications according to the mining result, compared with a mining mode operated manually, the scheme of the embodiment of the device can obviously save labor cost and improve mining efficiency, and mined data can be automatically supplemented to corresponding classifications, so that the data can be managed and maintained more conveniently.
FIG. 10 illustrates a block diagram of an exemplary computer system/server 12 suitable for use in implementing embodiments of the present invention. The computer system/server 12 shown in FIG. 10 is only one example and should not be taken to limit the scope of use or functionality of embodiments of the present invention.
As shown in FIG. 10, computer system/server 12 is in the form of a general purpose computing device. The components of computer system/server 12 may include, but are not limited to: one or more processors (processing units) 16, a memory 28, and a bus 18 that connects the various system components, including the memory 28 and the processors 16.
Computer system/server 12 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by computer system/server 12 and includes both volatile and nonvolatile media, removable and non-removable media.
The memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)30 and/or cache memory 32. The computer system/server 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 10, and commonly referred to as a "hard drive"). Although not shown in FIG. 10, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.
The computer system/server 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), with one or more devices that enable a user to interact with the computer system/server 12, and/or with any devices (e.g., network card, modem, etc.) that enable the computer system/server 12 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 22. Also, the computer system/server 12 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet) via the network adapter 20. As shown in FIG. 10, network adapter 20 communicates with the other modules of computer system/server 12 via bus 18. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the computer system/server 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processor 16 executes various functional applications and data processing, such as implementing the method in the embodiment shown in fig. 1, by executing programs stored in the memory 28.
The invention also discloses a computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, will carry out the method as in the embodiment shown in fig. 1.
Any combination of one or more computer-readable media may be employed. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method, etc., can be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (20)
1. A method of data mining, comprising:
storing the data in the data set in a classified manner, and displaying the classified result to a user through a data page;
when a data mining request of a user for any displayed classification is received, data mining is carried out according to a mining mode selected by the user, and data is supplemented to the classification according to a mining result;
the data is pictures, and the data mining according to the mining mode selected by the user comprises the following steps: displaying the classified text label list for a user, searching pictures according to the text labels selected by the user from the text label list, and taking the searched pictures as mining results;
the method further comprises the following steps: if an adding request of a user is received, obtaining and storing an adding operation of the user aiming at the text label list, wherein the adding operation comprises the following steps: determining the pictures selected by the user from the pictures in the classification, performing picture word guessing on the selected pictures to obtain text labels corresponding to the selected pictures, obtaining the text labels selected by the user from the obtained text labels, and adding the selected text labels to the text label list.
2. The method of claim 1,
the method further comprises the following steps: when a data set uploading request of a user is received, data uploaded by the user is obtained, and the uploaded data is supplemented into the existing classification and/or supplemented into a newly-built classification.
3. The method of claim 1,
the method further comprises the following steps: when a data uploading request of a user aiming at any classification is received, the data uploaded by the user is obtained, and the uploaded data is supplemented into the classification.
4. The method of claim 1,
the method further comprises one or all of:
when a preview request of a user for any classification is received, displaying the data in the classification to the user;
and acquiring and saving the edit made by the user on the displayed data.
5. The method of claim 1,
the mining data according to the mining mode selected by the user further comprises the following steps:
and data mining is carried out according to the picture selected by the user.
6. The method of claim 1,
the method further comprises the following steps:
and after the classified text label list is displayed for the user, if an editing request of the user is received, acquiring and storing the editing operation of the user on the text label list.
7. The method of claim 1,
the acquiring and saving the adding operation of the user for the text label list further comprises:
and acquiring a text label input by a user, and adding the text label input by the user into the text label list.
8. The method of claim 5,
the data mining according to the picture selected by the user comprises the following steps:
determining pictures selected by a user from the pictures in the classification;
and searching pictures according to the selected pictures, and taking the searched pictures as mining results.
9. The method of claim 1,
the supplementing data into the classification according to the mining result comprises:
and supplementing data selected by a user from the mining result into the classification.
10. A data mining device, comprising: a first processing unit and a second processing unit;
the first processing unit is used for storing the data in the data set in a classified manner and displaying the classified result to a user through a data page;
the second processing unit is used for mining data according to a mining mode selected by a user when receiving a data mining request of the user for any displayed classification, and supplementing data into the classification according to a mining result;
the data is pictures, the second processing unit displays the classified text label list for the user, picture searching is carried out according to the text labels selected by the user from the text label list, and the searched pictures are used as mining results; if an adding request of a user is received, obtaining and storing an adding operation of the user aiming at the text label list, wherein the adding operation comprises the following steps: determining the pictures selected by the user from the pictures in the classification, performing picture word guessing on the selected pictures to obtain text labels corresponding to the selected pictures, obtaining the text labels selected by the user from the obtained text labels, and adding the selected text labels to the text label list.
11. The apparatus of claim 10,
the second processing unit is further configured to, when a data set uploading request of a user is received, acquire data uploaded by the user, and supplement the uploaded data into an existing category and/or a newly created category.
12. The apparatus of claim 10,
the second processing unit is further configured to, when receiving a data upload request of a user for any one of the classifications, acquire data uploaded by the user, and supplement the uploaded data into the classification.
13. The apparatus of claim 10,
the second processing unit is further configured to perform one or all of the following:
when a preview request of a user for any classification is received, displaying the data in the classification to the user;
and acquiring and saving the edit made by the user on the displayed data.
14. The apparatus of claim 10,
the second processing unit is further used for data mining according to the picture selected by the user.
15. The apparatus of claim 10,
the second processing unit is further configured to, after the classified text tag list is displayed for the user, obtain and store an editing operation performed by the user for the text tag list if an editing request of the user is received.
16. The apparatus of claim 10,
the second processing unit further obtains and saves the adding operation of the user for the text label list, and the adding operation further comprises the following steps: and acquiring a text label input by a user, and adding the text label input by the user into the text label list.
17. The apparatus of claim 14,
and the second processing unit determines the pictures selected by the user from the pictures in the classification, searches the pictures according to the selected pictures and takes the searched pictures as the mining results.
18. The apparatus of claim 10,
the second processing unit supplements data selected by a user from the mining results into the classification.
19. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the method of any one of claims 1 to 9.
20. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out the method according to any one of claims 1 to 9.
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