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ICDE
1995
IEEE
139views Database» more  ICDE 1995»
14 years 10 months ago
Set-Oriented Mining for Association Rules in Relational Databases
We describe set-oriented algorithms for mining association rules. Such algorithms imply performing multiple joins and may appear to be inherently less escient than special-purpose...
Maurice A. W. Houtsma, Arun N. Swami
CORR
2008
Springer
113views Education» more  CORR 2008»
13 years 8 months ago
Document stream clustering: experimenting an incremental algorithm and AR-based tools for highlighting dynamic trends
We address here two major challenges presented by dynamic data mining: 1) the stability challenge: we have implemented a rigorous incremental density-based clustering algorithm, i...
Alain Lelu, Martine Cadot, Pascal Cuxac
AIME
2009
Springer
14 years 3 months ago
Mining Healthcare Data with Temporal Association Rules: Improvements and Assessment for a Practical Use
Abstract. The Regional Healthcare Agency (ASL) of Pavia has been maintaining a central data repository which stores healthcare data about the population of Pavia area. The analysis...
Stefano Concaro, Lucia Sacchi, Carlo Cerra, Pietro...
IRI
2007
IEEE
14 years 2 months ago
Automated Multimedia Systems Training Using Association Rule Mining
User feedback is widely deployed in recent multimedia research to refine retrieval performance. However, most of the existing online learning algorithms handle interactions of a s...
Na Zhao, Shu-Ching Chen, Stuart Harvey Rubin
KDD
1999
ACM
184views Data Mining» more  KDD 1999»
14 years 25 days ago
Mining Optimized Gain Rules for Numeric Attributes
—Association rules are useful for determining correlations between attributes of a relation and have applications in the marketing, financial, and retail sectors. Furthermore, op...
Sergey Brin, Rajeev Rastogi, Kyuseok Shim