Abstract. In this paper, we present a FASST mining approach to extract the frequently changing semantic structures (FASSTs), which are a subset of semantic substructures that chang...
Data mining is an interactive and iterative process. It is very likely that a user will execute a series of similar queries differing in pattern constraints and mining parameters,...
In constrained data mining, users can specify constraints that can be used to prune the search space to avoid mining uninteresting knowledge. Since it is difficult to determine th...
Gao Cong, Beng Chin Ooi, Kian-Lee Tan, Anthony K. ...
In this study, a hybrid intelligent data mining methodology, genetic algorithm based support vector machine (GASVM) model, is proposed to explore stock market tendency. In this hyb...
This paper introduces a Cellular Automata (CA) approach to spatiotemporal data mining (STDM). The recently increasing interest in using Genetic Algorithms and other evolutionary te...