Rough set theory based reduction algorithm for decision table

• Published in: 2009 International Conference on Machine Learning and Cybernetics Vol. 4; pp. 2318 - 2323
• Main Authors: Xiao-Yu Song, Chun-Guang Chang, Feng Liu
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2009
• Subjects: Ant colony optimization; Clustering; Clustering algorithms; Control engineering; Convergence; Cybernetics; Information systems; Machine learning; Machine learning algorithms; Partitioning algorithms; Reduction; Rough set theory; Set theory

With the purpose to reduce the surplus information on decision table and extract the determinative rules, an autonomous clustering algorithm based on graded datum subtraction (ACGDS) is proposed to reduce the data area and an attribute reduction algorithm based on ant colony optimization (ARACO) is...