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» Clustering with or without the Approximation
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IDEAS
1999
IEEE
123views Database» more  IDEAS 1999»
15 years 10 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
DEXA
2006
Springer
160views Database» more  DEXA 2006»
15 years 10 months ago
Clustering of Search Engine Keywords Using Access Logs
Abstract. It the becomes possible that users can get kinds of information by just inputting search keyword(s) representing the topic which users are interested in. But it is not al...
Shingo Otsuka, Masaru Kitsuregawa
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
15 years 10 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...
CAINE
2008
15 years 8 months ago
Hierarchical Clustering of Features on Categorical Data of Biomedical Applications
Data mining became increasingly important in bioinformatics and biomedical area during last decade. Various data mining methods, such as association rule mining and clustering, ha...
Yi Lu, Lily R. Liang
NIPS
2004
15 years 7 months ago
Detecting Significant Multidimensional Spatial Clusters
Assume a uniform, multidimensional grid of bivariate data, where each cell of the grid has a count ci and a baseline bi. Our goal is to find spatial regions (d-dimensional rectang...
Daniel B. Neill, Andrew W. Moore, Francisco Pereir...