Data systematic purifying analysis in data mining

Yu Ting Cheng, Ben Chang Shia, Jun Yuan Kuo, Hui Ru Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A goal database and an auxiliary database utilizing functional mapping make the database combine as a great database, then imputes the missing data or the rare data missing in the database. In order to improve the data analysis efficiency, this research proposed the Data SPA (Data Systematic Purifying Analysis) to purify the data systematically. This research has applied three kinds of methods to evaluate the data. After the process of the Data SPA, it can be easily understand that the Data SPA really has good effect on data mining, because it can increase the amount of information of the data and improve the data evaluation efficiency.

Original languageEnglish
Title of host publication2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
Pages287-290
Number of pages4
Volume4
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009 - Los Angeles, CA, United States
Duration: Mar 31 2009Apr 2 2009

Other

Other2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
CountryUnited States
CityLos Angeles, CA
Period3/31/094/2/09

ASJC Scopus subject areas

  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems
  • Software

Fingerprint Dive into the research topics of 'Data systematic purifying analysis in data mining'. Together they form a unique fingerprint.

Cite this