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» Mining Association Rules: Anti-Skew Algorithms
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ICDE
1998
IEEE
187views Database» more  ICDE 1998»
14 years 10 months ago
Mining Optimized Association Rules with Categorical and Numeric Attributes
?Mining association rules on large data sets has received considerable attention in recent years. Association rules are useful for determining correlations between attributes of a ...
Rajeev Rastogi, Kyuseok Shim
SEBD
1997
132views Database» more  SEBD 1997»
13 years 10 months ago
Amore: An Integrated Environment for Database Mining
Abstract. While extensive e orts have been devoted to the development of e cient ad-hoc algorithms for association rules mining, little or no interest has been paid to the integrat...
Elena Baralis, Stefano Ceri, Rosa Meo, Giuseppe Ps...
ICWL
2005
Springer
14 years 2 months ago
The Research of Mining Association Rules Between Personality and Behavior of Learner Under Web-Based Learning Environment
: Discovering the relationship between behavior and personality of learner in the web-based learning environment is a key to guide learners in the learning process. This paper prop...
Jin Du, Qinghua Zheng, Haifei Li, Wenbin Yuan
CLA
2007
13 years 10 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...
SDM
2004
SIAM
271views Data Mining» more  SDM 2004»
13 years 10 months ago
A Foundational Approach to Mining Itemset Utilities from Databases
Most approaches to mining association rules implicitly consider the utilities of the itemsets to be equal. We assume that the utilities of itemsets may differ, and identify the hi...
Hong Yao, Howard J. Hamilton, Cory J. Butz