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» Mining Frequent Itemsets in a Stream
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PR
2007
81views more  PR 2007»
13 years 6 months ago
Mining evolving data streams for frequent patterns
A data stream is a potentially uninterrupted flow of data. Mining this flow makes it necessary to cope with uncertainty, as only a part of the stream can be stored. In this pape...
Pierre-Alain Laur, Richard Nock, Jean-Emile Sympho...
JIIS
2006
119views more  JIIS 2006»
13 years 6 months ago
Answering constraint-based mining queries on itemsets using previous materialized results
Abstract In recent years, researchers have begun to study inductive databases, a new generation of databases for leveraging decision support applications. In this context, the user...
Roberto Esposito, Rosa Meo, Marco Botta
LWA
2004
13 years 8 months ago
Efficient Frequent Pattern Mining in Relational Databases
Data mining on large relational databases has gained popularity and its significance is well recognized. However, the performance of SQL based data mining is known to fall behind ...
Xuequn Shang, Kai-Uwe Sattler, Ingolf Geist
KDD
1999
ACM
237views Data Mining» more  KDD 1999»
13 years 11 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...
ICCS
2004
Springer
14 years 4 days ago
Iceberg Query Lattices for Datalog
In this paper we study two orthogonal extensions of the classical data mining problem of mining association rules, and show how they naturally interact. The first is the extension...
Gerd Stumme