The Foundation of Data Mining and Knowledge Discovery FDM02 / Lin T.Y. ; Ohsuga S.. - Izumo : Shimane Medical University, 2002
- ISSN 1346-0013
- ISBN 4-947717-02-6
Rozsah stran
s. 157-162
Poč.str.
6 s.
Akce
IEEE ICDM02 Workshop
Datum konání
09.12.2002-10.12.2002
Místo konání
Maebashi
Země
JP - Japonsko
Typ akce
WRD
Jazyk dok.
eng - angličtina
Země vyd.
DE - Německo
Klíč. slova
KDD ; data mining ; association rules
CEP
OC 274.001 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy
CEZ
1030915
Anotace
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.
