A Weighted Relational Classification Algorithm Based on Rough Set
Fu Jinghong,Zhang Chunying,Wang Jing,Tian Fang +3 more
- 12 Mar 2011
- Vol. 3, Iss: 2, pp 363-365
TL;DR: A Weighted Relational Classification Algorithm Based on Rough Set is proposed in this paper and experiments have proved that new classifier has good classification performance.
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Abstract: A Weighted Relational Classification Algorithm Based on Rough Set is proposed in this paper. The relations of tables are classified in database, relational graph is converted into 0 - 1 matrix, the weight is calculated using UCINET, at the same time, different condition attributes are weighted differently by using attribute frequency of Rough Set. It is improved effectively. Experiments have proved that new classifier has good classification performance.
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Citations
Developing an Intelligent Question Answering System
TL;DR: The intelligent QA (iQA) system for Arabic language will be growing automatically when users ask new questions and the system will be accumulating these new question-answer pairs in its database, to speed up the processing when the same question is being asked again in the future.
•Journal Article
Rough Set and Genetic Based Approach for Maximization of Weighted Association Rules
TL;DR: The present paper proposes a new approach for the effective weighted association rule mining that utilizes the power of Rough Set Theory for obtaining reduct of the targeted dataset and takes the benefit for weighted measures and the genetic algorithm for the generation of the desired set of rules.
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Top-down induction of logical decision trees
Hendrik Blockeel,Luc De Raedt +1 more
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Weighted Naive Bayes Classification Algorithm Based on Rough Set
TL;DR: Methods for determining the weights of attributes in the algebra view, Informational view and both of them are developed respectively, and results on a variety of UCI data sets illustrate the efficiency of this method.
15
Attribute weighted Naive Bayesian classification algorithm
Chunying Zhang,Jing Wang +1 more
- 30 Sep 2010
TL;DR: Based on Identifiably matrix of Rough Set, a new weighted naive Bayes method based on attribute frequency is proposed, which improves the Naive Bayesian classification algorithm performance effectively.
9
Multi-relational Bayesian Classification Algorithm with Rough Set
Chunying Zhang,Jing Wang +1 more
- 09 Sep 2010
TL;DR: A Multi-relational Bayesian Classification Algorithm with Rough Set is proposed, which improves the accuracy rate and the running rate and a tuple ID propagation approach is used to solve directly the association rule mining problem with multiple database relations.
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