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» Discovering Frequent Closed Itemsets for Association Rules
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ICANN
2005
Springer
14 years 1 months ago
Principles of Employing a Self-organizing Map as a Frequent Itemset Miner
This work proposes a theoretical guideline in the specific area of Frequent Itemset Mining (FIM). It supports the hypothesis that the use of neural network technology for the prob...
Vicente O. Baez-Monroy, Simon O'Keefe
DAWAK
2004
Springer
13 years 11 months ago
PROWL: An Efficient Frequent continuity Mining Algorithm on Event Sequences
Mining association rule in event sequences is an important data mining problem with many applications. Most of previous studies on association rules are on mining intra-transaction...
Kuo-Yu Huang, Chia-Hui Chang, Kuo-Zui Lin
CLA
2007
13 years 9 months ago
ZART: A Multifunctional Itemset Mining Algorithm
Abstract. In this paper, we present and detail a multifunctional itemset mining algorithm called Zart, which is based on the Pascal algorithm. Zart shows a number of additional fea...
Laszlo Szathmary, Amedeo Napoli, Sergei O. Kuznets...
ICDE
2012
IEEE
250views Database» more  ICDE 2012»
11 years 10 months ago
Discovering Threshold-based Frequent Closed Itemsets over Probabilistic Data
Yongxin Tong, Lei Chen 0002, Bolin Ding
DEXA
2004
Springer
153views Database» more  DEXA 2004»
14 years 1 months ago
A New Approach of Eliminating Redundant Association Rules
Two important constraints of association rule mining algorithm are support and confidence. However, such constraints-based algorithms generally produce a large number of redundant ...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith