Alternative Approach to Mining Association Rules

0405087 - UIVT-O 20030189 RIV DE eng C - Conference Paper (international conference)
Rauch, J. - Šimůnek, Milan
Alternative Approach to Mining Association Rules.
The Foundation of Data Mining and Knowledge Discovery FDM02. Izumo: Shimane Medical University, 2002 - (Lin, T.; Ohsuga, S.), s. 157-162. ISBN 4-947717-02-6. ISSN 1346-0013.
[IEEE ICDM02 Workshop. Maebashi (JP), 09.12.2002-10.12.2002]
R&D Projects: GA MŠMT OC 274.001
Grant - others:COST(XE) Action 274 TARSKI
Institutional research plan: AV0Z1030915
Keywords : KDD * data mining * association rules

An alternative approach to mining association rules is described. Some special techniques and algorithms are used that lead to a much richer syntax of association rules with only linear complexity of computation. A free and open LISp-Miner implements these algorithms and can serve as a demonstration of used techniques. The same techniques can be used in other kinds of mining e.g. multi-relation mining and conditional frequency analysis.
Permanent Link: http://hdl.handle.net/11104/0125300