On Genetic-Fuzzy Data Mining Techniques
Tzung‐Pei Hong, National University of Kaohsiung · 2007 IEEE International Conference on Granular Computing (GRC 2007) · 2007
Data mining is commonly used in attempts to induce association rules from transaction data. Most previous studies focused on mining from binary valued data. Transactions in real-world applications, however, usually consist of quantitative values. Designing a sophisticated data-mining algorithm able to deal with various types of data presents a challenge to workers in this research field.