Conjecturable Rules Discovery by Clustering-Classification Hybrid Approach
博士 === 國立中央大學 === 資訊管理研究所 === 99 === Discovering hidden or unknown knowledge is the major theme of most data mining studies. In this dissertation, we propose a new approach to discover conjecturable rules, which categorize observations of a data set into classes of similar attribute values instead o...
Main Authors: | Wu-hsien Hsu, 許武先 |
---|---|
Other Authors: | Yen-liang Chen |
Format: | Others |
Language: | en_US |
Published: |
2011
|
Online Access: | http://ndltd.ncl.edu.tw/handle/65946782992000654374 |
Similar Items
-
Classification Rule Discovery Based on Ant Colony AlgorithmClassification Rule Discovery Based on Ant Colony Algorithm
by: Ya-Ling Chen, et al.
Published: (2007) -
Meta-Evolutionary Approach for Extracting Classification Rules
by: Tung-Chou Hsu, et al.
Published: (2006) -
Classification Rule Discovery with Particle Swarm Optimization
by: Liang-Chi Wang, et al.
Published: (2004) -
A Clustering Perspective of the Collatz Conjecture
by: José A. Tenreiro Machado, et al.
Published: (2021-02-01) -
A Study of the Ant Colony System for the Discovery of Classification Rules
by: 陳惠琪
Published: (2006)