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» Finding Localized Associations in Market Basket Data
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DAWAK
2001
Springer
13 years 10 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...
AVI
2008
13 years 7 months ago
Timeline trees: visualizing sequences of transactions in information hierarchies
In many applications transactions between the elements of an information hierarchy occur over time. For example, the product offers of a department store can be organized into pro...
Michael Burch, Fabian Beck, Stephan Diehl
KDD
2001
ACM
216views Data Mining» more  KDD 2001»
14 years 5 months ago
Real world performance of association rule algorithms
This study compares five well-known association rule algorithms using three real-world datasets and an artificial dataset. The experimental results confirm the performance improve...
Zijian Zheng, Ron Kohavi, Llew Mason
KDD
1999
ACM
237views Data Mining» more  KDD 1999»
13 years 9 months ago
Using Association Rules for Product Assortment Decisions: A Case Study
It has been claimed that the discovery of association rules is well-suited for applications of market basket analysis to reveal regularities in the purchase behaviour of customers...
Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert We...
VLDB
1998
ACM
147views Database» more  VLDB 1998»
13 years 9 months ago
Scalable Techniques for Mining Causal Structures
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
Craig Silverstein, Sergey Brin, Rajeev Motwani, Je...