Optimizing parameters values of tree-based contrast subspace Miner using genetic algorithm

• Main Authors: Florence Sia, Rayner Alfred
• Format: Conference or Workshop Item
• Language: English; English
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: https://eprints.ums.edu.my/id/eprint/25530/7/Optimizing%20parameters%20values%20of%20tree-based%20contrast-Abstract.pdf; https://eprints.ums.edu.my/id/eprint/25530/1/Optimizing%20parameters%20values%20of%20tree-based%20contrast%20subspace%20Miner%20using%20genetic%20algorithm.pdf; https://eprints.ums.edu.my/id/eprint/25530/

Mining contrast subspace finds contrast subspaces or subspaces where a query object is most similar to a target class but different from other class in a two-class multidimensional data set. Tree-based contrast subspace miner (TB-CSMiner) which employs tree-based likelihood contrast scoring function...