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» New Algorithms for Fast Discovery of Association Rules
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SIGIR
2008
ACM
14 years 9 months ago
Learning to rank at query-time using association rules
Some applications have to present their results in the form of ranked lists. This is the case of many information retrieval applications, in which documents must be sorted accordi...
Adriano Veloso, Humberto Mossri de Almeida, Marcos...
DAWAK
1999
Springer
15 years 2 months ago
Implementation of Multidimensional Index Structures for Knowledge Discovery in Relational Databases
Efficient query processing is one of the basic needs for data mining algorithms. Clustering algorithms, association rule mining algorithms and OLAP tools all rely on efficient quer...
Stefan Berchtold, Christian Böhm, Hans-Peter ...
KDD
1997
ACM
154views Data Mining» more  KDD 1997»
15 years 1 months ago
Autonomous Discovery of Reliable Exception Rules
This paper presents an autonomous algorithm for discovering exception rules from data sets. An exception rule, which is defined as a deviational pattern to a well-known fact, exhi...
Einoshin Suzuki
ICDE
2003
IEEE
146views Database» more  ICDE 2003»
15 years 11 months ago
Generalized Closed Itemsets for Association Rule Mining
The output of boolean association rule mining algorithms is often too large for manual examination. For dense datasets, it is often impractical to even generate all frequent items...
Vikram Pudi, Jayant R. Haritsa
VLDB
2005
ACM
125views Database» more  VLDB 2005»
15 years 3 months ago
Using Association Rules for Fraud Detection in Web Advertising Networks
Discovering associations between elements occurring in a stream is applicable in numerous applications, including predictive caching and fraud detection. These applications requir...
Ahmed Metwally, Divyakant Agrawal, Amr El Abbadi