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GFKL
2005
Springer
105views Data Mining» more  GFKL 2005»
13 years 10 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
ICDM
2008
IEEE
156views Data Mining» more  ICDM 2008»
13 years 11 months ago
Mining Allocating Patterns in One-Sum Weighted Items
An Association Rule (AR) is a common knowledge model in data mining that describes an implicative cooccurring relationship between two disjoint sets of binary-valued transaction d...
Yanbo J. Wang, Xinwei Zheng, Frans Coenen, Cindy Y...
DATAMINE
2000
115views more  DATAMINE 2000»
13 years 4 months ago
Integrating Association Rule Mining with Relational Database Systems: Alternatives and Implications
Data mining on large data warehouses is becoming increasingly important. In support of this trend, we consider a spectrum of architectural alternatives for coupling mining with da...
Sunita Sarawagi, Shiby Thomas, Rakesh Agrawal
KDD
2003
ACM
112views Data Mining» more  KDD 2003»
14 years 5 months ago
Screening and interpreting multi-item associations based on log-linear modeling
Association rules have received a lot of attention in the data
Daniel Barbará, Xintao Wu, Yong Ye
DAWAK
2001
Springer
13 years 9 months ago
A Theoretical Framework for Association Mining Based on the Boolean Retrieval Model
Data mining has been defined as the non- trivial extraction of implicit, previously unknown and potentially useful information from data. Association mining is one of the important...
Peter Bollmann-Sdorra, Aladdin Hafez, Vijay V. Rag...