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» Further Pruning for Efficient Association Rule Discovery
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KAIS
2006
164views more  KAIS 2006»
13 years 7 months ago
On efficiently summarizing categorical databases
Frequent itemset mining was initially proposed and has been studied extensively in the context of association rule mining. In recent years, several studies have also extended its a...
Jianyong Wang, George Karypis
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
KDD
2006
ACM
136views Data Mining» more  KDD 2006»
14 years 8 months ago
Mining quantitative correlated patterns using an information-theoretic approach
Existing research on mining quantitative databases mainly focuses on mining associations. However, mining associations is too expensive to be practical in many cases. In this pape...
Yiping Ke, James Cheng, Wilfred Ng
MIDDLEWARE
2005
Springer
14 years 1 months ago
INDISS: Interoperable Discovery System for Networked Services
Abstract. The emergence of handheld devices associated with wireless technologies has introduced new challenges for middleware. First, mobility is becoming a key characteristic; mo...
Yérom-David Bromberg, Valérie Issarn...
DSS
2002
82views more  DSS 2002»
13 years 7 months ago
On the discovery of process models from their instances
A thorough understanding of the way in which existing business processes currently practice is essential from the perspectives of both process reengineering and workflow managemen...
San-Yih Hwang, Wan-Shiou Yang