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133
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RCIS
2010
15 years 1 months ago
A Tree-based Approach for Efficiently Mining Approximate Frequent Itemsets
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...
Jia-Ling Koh, Yi-Lang Tu
197
Voted
WWW
2009
ACM
16 years 3 months ago
Smart Miner: a new framework for mining large scale web usage data
In this paper, we propose a novel framework called SmartMiner for web usage mining problem which uses link information for producing accurate user sessions and frequent navigation...
Murat Ali Bayir, Ismail Hakki Toroslu, Ahmet Cosar...
136
Voted
KDD
2006
ACM
222views Data Mining» more  KDD 2006»
16 years 3 months ago
A component-based framework for knowledge discovery in bioinformatics
Motivation: In the field of bioinformatics there is an emerging need to integrate all knowledge discovery steps into a standardized modular framework. Indeed, component-based deve...
Julien Etienne, Bernd Wachmann, Lei Zhang
107
Voted
AIPS
2008
15 years 4 months ago
Planning for Modular Printers: Beyond Productivity
This paper reports our experience extending an on-line printer controller based on AI planning to handle two significant features of this commercially important domain: execution ...
Minh Binh Do, Wheeler Ruml, Rong Zhou
147
Voted
AAAI
2004
15 years 4 months ago
Space-Efficient Memory-Based Heuristics
A memory-based heuristic is a heuristic function that is stored in a lookup table. Very accurate heuristics have been created by building very large lookup tables, sometimes calle...
Rong Zhou, Eric A. Hansen