Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

File classifying method and file classifier

A file classification and classification feature technology, applied in the direction of instruments, special data processing applications, electrical digital data processing, etc., can solve the problems of non-classification, poor scalability, and low classification accuracy, and achieve the effect of accurate file classification

Inactive Publication Date: 2007-10-10
VIMICRO CORP
View PDF0 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] From the above analysis, it can be seen that the existing file classification methods have fixed classification levels and fixed classification features, which make it impossible to classify files according to different application requirements and have poor scalability.
Moreover, files without extensions cannot be classified, and the classification accuracy is not high

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • File classifying method and file classifier
  • File classifying method and file classifier
  • File classifying method and file classifier

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0072] This embodiment introduces the above-mentioned first preferred method. The extension is used as the classification feature on which the classification rules are set, and the analysis rules for files whose extensions are wave, mp3, and bmp are respectively set.

[0073] FIG. 2 is a schematic flowchart of a file classification method in Embodiment 1 of the present invention. Referring to Figure 2, the method comprises the following steps:

[0074] Step 201: Set classification levels and classification features corresponding to each classification level, and obtain all combinations of classification feature values.

[0075] In this step, after the classification levels and the classification features corresponding to each classification level are set, all combinations of the classification feature values ​​that conform to the arrangement order of the classification levels can be obtained.

[0076] Taking the wave file as an example, assume that the user specifies three le...

Embodiment 2

[0136] This embodiment introduces the above-mentioned second preferred method, also uses the extension name as the classification feature on which the classification rules are set, and sets the analysis rules for files such as wave, mp3 and bmp for the extension name values ​​respectively, and assumes It is known in advance that the files to be classified are wave files.

[0137] FIG. 3 is a schematic flowchart of a file classification method in Embodiment 2 of the present invention. Referring to Fig. 3, this method comprises the following steps:

[0138] Step 301: Set classification levels and classification features corresponding to each classification level, and set call instructions to obtain all combinations of classification feature values.

[0139] In this step, all combinations of the set classification levels, the classification features corresponding to each classification level, and the obtained classification feature values ​​are the same as those in Step 201 of E...

Embodiment 3

[0153] This embodiment introduces the above-mentioned third preferred method, also uses the extension as the classification feature on which the classification rules are set, and sets the analysis rules for files such as wave, mp3 and bmp for the extensions, and assumes It is known in advance that the files to be classified are wave files.

[0154] FIG. 4 is a schematic flowchart of a file classification method in Embodiment 3 of the present invention. Referring to Fig. 4, this method comprises the following steps:

[0155] Step 401: Set classification levels and classification features corresponding to each classification level, and obtain all combinations of classification feature values.

[0156] In this step, all combinations of the set classification levels, the classification features corresponding to each classification level, and the obtained classification feature values ​​are the same as those in Step 201 of Embodiment 1, and will not be repeated here.

[0157] Ste...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

A method for classifying file includes setting at least one classification character to obtain all combinations of classification character-sampling, analyzing bit stream of file to be classified to obtain combination of classification character-sampling for file to be classified and confirming classification of file to be classified according to obtained all combinations of classification character-sampling and obtained combination of classification character-sampling for file to be classified. The file sorter used for realizing said method is also disclosed.

Description

technical field [0001] The invention relates to file classification technology, in particular to a file classification method and a file classifier. Background technique [0002] Traditional file classification methods usually classify files according to file extensions, that is, use extensions as classification features, and classify all files with the same extensions into one category according to the extensions of files to be classified. This file classification method is a kind of rough classification, and more fine classification is usually required in practical applications. Therefore, the categories distinguished by this file classification method cannot meet the requirements of practical applications in many cases. Moreover, the method requires that all files to be classified have extensions, and if a file does not have an extension, the method cannot classify the file. [0003] An improved method for the above-mentioned traditional method is to formulate classifica...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F17/30
Inventor 占文静游明琦
Owner VIMICRO CORP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com