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» Mining for Mutually Exclusive Items in Transaction Databases
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KDD
2001
ACM
150views Data Mining» more  KDD 2001»
14 years 5 months ago
Empirical bayes screening for multi-item associations
This paper considers the framework of the so-called "market basket problem", in which a database of transactions is mined for the occurrence of unusually frequent item s...
William DuMouchel, Daryl Pregibon
ESWA
2006
139views more  ESWA 2006»
13 years 5 months ago
An efficient data mining approach for discovering interesting knowledge from customer transactions
Mining association rules and mining sequential patterns both are to discover customer purchasing behaviors from a transaction database, such that the quality of business decision ...
Show-Jane Yen, Yue-Shi Lee
EDBT
2002
ACM
157views Database» more  EDBT 2002»
14 years 5 months ago
Profit Mining: From Patterns to Actions
Abstract. A major obstacle in data mining applications is the gap between the statistic-based pattern extraction and the value-based decision making. We present a profit mining app...
Ke Wang, Senqiang Zhou, Jiawei Han
ACSAC
2006
IEEE
13 years 11 months ago
Towards Database Firewall: Mining the Damage Spreading Patterns
Access control and integrity constraints are well known approaches to ensure data integrity in commercial database systems. However, due to operational mistakes, malicious intent ...
Kun Bai, Peng Liu
GFKL
2005
Springer
105views Data Mining» more  GFKL 2005»
13 years 11 months ago
Implications of Probabilistic Data Modeling for Mining Association Rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. In the current literature, the properties of algorithms to mine ass...
Michael Hahsler, Kurt Hornik, Thomas Reutterer