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FIMI
2003
146views Data Mining» more  FIMI 2003»
14 years 11 months ago
ARMOR: Association Rule Mining based on ORacle
In this paper, we first focus our attention on the question of how much space remains for performance improvement over current association rule mining algorithms. Our strategy is...
Vikram Pudi, Jayant R. Haritsa
ICEIS
2009
IEEE
14 years 7 months ago
Mining Patterns in the Presence of Domain Knowledge
One of the main difficulties of pattern mining is to deal with items of different nature in the same itemset, which can occur in any domain except basket analysis. Indeed, if we co...
Cláudia Antunes
ICPADS
2006
IEEE
15 years 3 months ago
Parallel Leap: Large-Scale Maximal Pattern Mining in a Distributed Environment
When computationally feasible, mining extremely large databases produces tremendously large numbers of frequent patterns. In many cases, it is impractical to mine those datasets d...
Mohammad El-Hajj, Osmar R. Zaïane
PARMA
2004
191views Database» more  PARMA 2004»
14 years 11 months ago
Identifying Most Predictive Items
Abstract. Frequent itemsets and association rules are generally accepted concepts in analyzing item-based databases. The Apriori-framework was developed for analyzing categorical d...
Markus Wawryniuk, Daniel A. Keim
KDD
2006
ACM
183views Data Mining» more  KDD 2006»
15 years 10 months ago
Discovering interesting patterns through user's interactive feedback
In this paper, we study the problem of discovering interesting patterns through user's interactive feedback. We assume a set of candidate patterns (i.e., frequent patterns) h...
Dong Xin, Xuehua Shen, Qiaozhu Mei, Jiawei Han