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» Improving Web Clustering by Cluster Selection
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INTR
2010
157views more  INTR 2010»
14 years 10 months ago
Classifying the user intent of web queries using k-means clustering
Purpose – Web search engines are frequently used by people to locate information on the Internet. However, not all queries have an informational goal. Instead of information, so...
Ashish Kathuria, Bernard J. Jansen, Carolyn Hafern...
ICWS
2009
IEEE
15 years 9 months ago
Adaptive Prefetching Scheme Using Web Log Mining in Cluster-Based Web Systems
The main memory management has been a critical issue to provide high performance in web cluster systems. To overcome the speed gap between processors and disks, many prefetch sche...
Heung Ki Lee, Baik Song An, Eun Jung Kim
IJCAI
2007
15 years 1 months ago
Web Page Clustering Using Heuristic Search in the Web Graph
Effective representation of Web search results remains an open problem in the Information Retrieval community. For ambiguous queries, a traditional approach is to organize search ...
Ron Bekkerman, Shlomo Zilberstein, James Allan
IDEAS
1999
IEEE
123views Database» more  IDEAS 1999»
15 years 4 months ago
Improving OLAP Performance by Multidimensional Hierarchical Clustering
Data-warehousing applications cope with enormous data sets in the range of Gigabytes and Terabytes. Queries usually either select a very small set of this data or perform aggregat...
Volker Markl, Frank Ramsak, Rudolf Bayer
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
15 years 3 months ago
Improving cooperative GP ensemble with clustering and pruning for pattern classification
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...