Scalable improved quick reduct: Sample based
Scalable improved quick reduct: Sample based
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Date
2012-08-20
Authors
Sai Prasad, P. S.V.S.
Raghavendra Rao, C.
Journal Title
Journal ISSN
Volume Title
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Abstract
This paper develops an iterative sample based Improved Quick Reduct algorithm with Information Gain heuristic approach for recommending a quality reduct for large decision tables. The Methodology and its performance have been demonstrated by considering large datasets. It is recommended to use roughly 5 to 10% data size for obtaining an apt reduct. © 2012 Springer-Verlag.
Description
Keywords
ξ-approximate Reduct,
IQuick Reduct,
Quick Reduct,
Variable Precision
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). v.7414 LNAI