Large data classification system

A classification system and data classification technology, applied in database models, relational databases, electrical digital data processing, etc., can solve problems such as insufficient capacity and inability to meet the classification requirements of big data, achieve accurate classification, reduce complexity, and improve execution efficiency effect

Inactive Publication Date: 2015-03-25
WUHU LERUISI INFORMATION CONSULTING
View PDF6 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With the rapid expansion of data scale, the amount of data accumulated in various industries has become larger and larger, with more and more data types and more complex data structures, which have surpassed the capabilities of traditional data classification systems and processing models. Row database systems have been difficult to adapt to the rapid growth of application requirements, showing obvious lack of capacity in production practice, unable to meet the data classification requirements in the era of big data

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
  • Large data classification system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0011] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0012] like figure 1 As shown, a big data classification system is composed of a data source, a data classification unit, a data numbering unit, and a cloud database connected in sequence. The data numbering unit also includes: a data location number, a data time number, and a data capacity number; The data classification unit effectively classifies the data sources to which they belong. Under different types of data, the data numbering unit is used to classify the same type of data of different types according to the data location, data time, and data capacity categories, and Store the classified data in the cloud database to realize a tree-structured classification system.

[0013] Further, after classifying the ...

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

The invention discloses a large data classification system. The large data classification system is formed by sequentially connecting a data source, a data classification unit, a data numbering unit and a cloud database, wherein the data numbering unit further comprises data position numbering, data time numbering and data capacity numbering, the data classification unit effectively classifies data of the data source, the data numbering unit is used for classifying data positions, data time and data capacity of the same-type data in different classifications, the classifications are stored in the cloud database, classified storage of a tree-shaped classification structure is achieved, the data needing to be processed are greatly reduced, the data can be classified rapidly and accurately in a short time, and therefore the executing efficiency of a data classification process is effectively improved, complexity of related data management is reduced, and computation load of the system is also relieved.

Description

technical field [0001] The invention relates to a big data classification system. Background technique [0002] With the rapid development of computer technology, the data in all walks of life is growing geometrically. These data come from various sources, ranging from sensors collecting weather conditions, digital pictures, and online video data, to online shopping transaction records, and mobile phone GPS signals. With the rapid expansion of data scale, the amount of data accumulated in various industries has become larger and larger, with more and more data types and more complex data structures, which have surpassed the capabilities of traditional data classification systems and processing models. Row database systems have been difficult to adapt to the rapid growth of application requirements, showing obvious lack of capacity in production practice, unable to meet the data classification requirements in the era of big data. Contents of the invention [0003] The tec...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/285
Inventor 赵迪刘焰龙
Owner WUHU LERUISI INFORMATION CONSULTING
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap