𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A genetic-algorithm for discovering small-disjunct rules in data mining

✍ Scribed by Deborah R. Carvalho; Alex A. Freitas

Book ID
108497150
Publisher
Elsevier Science
Year
2002
Tongue
English
Weight
198 KB
Volume
2
Category
Article
ISSN
1568-4946

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Fuzzy rule selection by multi-objective
Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining
✍ Hisao Ishibuchi; Takashi Yamamoto πŸ“‚ Article πŸ“… 2004 πŸ› Elsevier Science 🌐 English βš– 365 KB

This paper shows how a small number of simple fuzzy if-then rules can be selected for pattern classiΓΏcation problems with many continuous attributes. Our approach consists of two phases: candidate rule generation by rule evaluation measures in data mining and rule selection by multi-objective evolut

Discovering simple rules in complex data
Discovering simple rules in complex data: A meta-learning algorithm and some surprising musical discoveries
✍ Gerhard Widmer πŸ“‚ Article πŸ“… 2003 πŸ› Elsevier Science 🌐 English βš– 233 KB

This article presents a new rule discovery algorithm named PLCG that can find simple, robust partial rule models (sets of classification rules) in complex data where it is difficult or impossible to find models that completely account for all the phenomena of interest. Technically speaking, PLCG is