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» Efficient Frequent Pattern Mining in Relational Databases
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KDD
2009
ACM
168views Data Mining» more  KDD 2009»
14 years 2 months ago
Cartesian contour: a concise representation for a collection of frequent sets
In this paper, we consider a novel scheme referred to as Cartesian contour to concisely represent the collection of frequent itemsets. Different from the existing works, this sche...
Ruoming Jin, Yang Xiang, Lin Liu
CIKM
1998
Springer
13 years 12 months ago
Efficient Enumeration of Frequent Sequences
In this paper we present SPADE, a new algorithm for fast discovery of Sequential Patterns. The existing solutions to this problem make repeated database scans, and use complex has...
Mohammed Javeed Zaki
PAKDD
2004
ACM
186views Data Mining» more  PAKDD 2004»
14 years 1 months ago
CMTreeMiner: Mining Both Closed and Maximal Frequent Subtrees
Abstract. Tree structures are used extensively in domains such as computational biology, pattern recognition, XML databases, computer networks, and so on. One important problem in ...
Yun Chi, Yirong Yang, Yi Xia, Richard R. Muntz
KDD
2004
ACM
148views Data Mining» more  KDD 2004»
14 years 8 months ago
Interestingness of frequent itemsets using Bayesian networks as background knowledge
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
Szymon Jaroszewicz, Dan A. Simovici
ICDE
2004
IEEE
179views Database» more  ICDE 2004»
14 years 9 months ago
CrossMine: Efficient Classification Across Multiple Database Relations
Most of today's structured data is stored in relational databases. Such a database consists of multiple relations which are linked together conceptually via entity-relationsh...
Xiaoxin Yin, Jiawei Han, Jiong Yang, Philip S. Yu