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» Parallel Mining of Maximal Frequent Itemsets from Databases
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EMS
2008
IEEE
14 years 2 months ago
A Weighted Utility Framework for Mining Association Rules
Association rule mining (ARM) identifies frequent itemsets from databases and generates association rules by assuming that all items have the same significance and frequency of oc...
M. Sulaiman Khan, Maybin K. Muyeba, Frans Coenen
KDD
2003
ACM
156views Data Mining» more  KDD 2003»
14 years 8 months ago
Fast vertical mining using diffsets
A number of vertical mining algorithms have been proposed recently for association mining, which have shown to be very effective and usually outperform horizontal approaches. The ...
Mohammed Javeed Zaki, Karam Gouda
VLDB
2005
ACM
180views Database» more  VLDB 2005»
14 years 1 months ago
Cache-conscious Frequent Pattern Mining on a Modern Processor
In this paper, we examine the performance of frequent pattern mining algorithms on a modern processor. A detailed performance study reveals that even the best frequent pattern min...
Amol Ghoting, Gregory Buehrer, Srinivasan Parthasa...
IEAAIE
2000
Springer
13 years 11 months ago
Dynamic Data Mining
Business information received from advanced data analysis and data mining is a critical success factor for companies wishing to maximize competitive advantage. The use of tradition...
Vijay V. Raghavan, Aladdin Hafez
PAKDD
2004
ACM
127views Data Mining» more  PAKDD 2004»
14 years 28 days ago
Separating Structure from Interestingness
Condensed representations of pattern collections have been recognized to be important building blocks of inductive databases, a promising theoretical framework for data mining, and...
Taneli Mielikäinen