Study on mining theories of association rules and its application

Xue Xing, Yao Chen, Yan En Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This paper focus on the association rules which applied in data mining that aims to analyze large source data and reveal knowledge hidden in the database. The paper presents the principle of association rules in data mining. It has been viewed as an important evolution in information processing. This paper applies association rules mining to the software of examination paper evaluation system, obtaining the useful information which is hidden in the database. It's concluded that the algorithm provides a valuable analysis of information to the examination paper evaluation system.

Original languageEnglish
Title of host publicationCICC-ITOE 2010 - 2010 International Conference on Innovative Computing and Communication, 2010 Asia-Pacific Conference on Information Technology and Ocean Engineering
Pages94-97
Number of pages4
DOIs
StatePublished - 2010
Event2010 International Conference on Innovative Computing and Communication, 2010 Asia-Pacific Conference on Information Technology and Ocean Engineering, CICC-ITOE 2010 - Macao, Macao
Duration: 30 Jan 201031 Jan 2010

Publication series

NameCICC-ITOE 2010 - 2010 International Conference on Innovative Computing and Communication, 2010 Asia-Pacific Conference on Information Technology and Ocean Engineering

Conference

Conference2010 International Conference on Innovative Computing and Communication, 2010 Asia-Pacific Conference on Information Technology and Ocean Engineering, CICC-ITOE 2010
Country/TerritoryMacao
CityMacao
Period30/01/1031/01/10

Keywords

  • Application
  • Association rules
  • Examination paper evaluation system
  • Software

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