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SQL Implementation of Value Reduction with Multiset Decision Tables

Chen, Chen
http://rave.ohiolink.edu/etdc/view?acc_num=akron1387495607

Abstract Details

2014, Master of Science, University of Akron, Computer Science.
Data reduction is an important contribution of rough set theory in data analysis, data mining and machine learning. Most recent researches have focused on attribute reductions. However, another main part of reduction, value reduction, has barely been paid attention to for a long period of time. Value reduction can induce decision rules with logical equivalent minimal length. Some research ideas such as high frequency value reduction [15] and association rules [17] have been applied to value reduction to gain better generating performance. This research introduced a new value reduction algorithm combining rough set theory with association rules to generate decision rules from examples in format of Multiset Decision Tables (MDT)[8]. Testing with UCI machine learning database and comparing this algorithm to high frequency value reduction algorithm[15], this research indicated the fitness of the new algorithm to process large data and validation to improve efficiency.
Chien-Chung Chan, Dr. (Advisor)
Yingcai Xiao, Dr. (Committee Member)
Zhong-Hui Duan, Dr. (Committee Member)
53 p.
Computer Science
Rough Set Theory; Multiset decision table; Association rule mining; Value reduction

Recommended Citations

Citations

  • Chen, C. (2014). SQL Implementation of Value Reduction with Multiset Decision Tables [Master's thesis, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1387495607

    APA Style (7th edition)

  • Chen, Chen. SQL Implementation of Value Reduction with Multiset Decision Tables. 2014. University of Akron, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1387495607.

    MLA Style (8th edition)

  • Chen, Chen. "SQL Implementation of Value Reduction with Multiset Decision Tables." Master's thesis, University of Akron, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=akron1387495607

    Chicago Manual of Style (17th edition)

akron1387495607
1,170
© 2013, some rights reserved.Creative Commons License SQL Implementation of Value Reduction with Multiset Decision Tables by Chen Chen is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Akron and OhioLINK.