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CIKM
2005
Springer
14 years 1 months ago
Opportunity map: a visualization framework for fast identification of actionable knowledge
Data mining techniques frequently find a large number of patterns or rules, which make it very difficult for a human analyst to interpret the results and to find the truly interes...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xia...
GECCO
2004
Springer
175views Optimization» more  GECCO 2004»
14 years 1 months ago
Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making
Abstract. Human-based genetic algorithms are powerful tools for organizational modeling. If we enhance them using chance discovery techniques, we obtain an innovative approach for ...
Xavier Llorà, Kei Ohnishi, Ying-Ping Chen, ...
GECCO
2004
Springer
179views Optimization» more  GECCO 2004»
14 years 1 months ago
An Evolutionary Meta Hierarchical Scheduler for the Linux Operating System
Abstract. The need for supporting CSCW applications with heterogeneous and varying user requirements calls for adaptive and reconfigurable schedulers accommodating a mixture of re...
Horst Wedde, Muddassar Farooq, Mario Lischka
DMKD
1997
ACM
198views Data Mining» more  DMKD 1997»
14 years 4 days ago
Clustering Based On Association Rule Hypergraphs
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...
SIGMOD
1993
ACM
163views Database» more  SIGMOD 1993»
14 years 1 days ago
The LRU-K Page Replacement Algorithm For Database Disk Buffering
This paper introduces a new approach to database disk buffering, called the LRU–K method. The basic idea of LRU–K is to keep track of the times of the last K references to pop...
Elizabeth J. O'Neil, Patrick E. O'Neil, Gerhard We...