Associative classification (AC) is a promising data mining approach that integrates classification and association rule … discovery to build classification models (classifiers). In the last decade, several AC algorithms have been proposed such as … Classification based Association (CBA), Classification based on Predicted Association Rule (CPAR), Multi-class Classification using …

Classification based on association rule mining, also known as associative classification, is a promising approach in … data mining that builds accurate classifiers. In this paper, a rule ranking process within the associative classification … approach is investigated. Specifically, two common rule ranking methods in associative classification are compared with …

A well-known classification problem in the domain of text mining is text classification, which concerns about mapping … textual documents into one or more predefined category based on its content. Text classification arena recently attracted many … classification comprehensively. More specifically the study measures the performance of different rule based classification …

Multiple criteria linear programming and multiple criteria quadratic programming classification models have been … this paper, a fuzzy linear programming classification method with soft constraints and criteria was proposed based on the …

alternative ensemble strategies for binary classification using GAMs as base classifiers are proposed: (i) GAMbag based on Bagging …

focussing on the dance hit song classification problem. A database of dance hit songs from 1985 until 2013 is built, including …