96 search results - page 7 / 20 » Classifying large data sets using SVMs with hierarchical clu... |
89
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IDEAS
1999
IEEE
15 years 1 months ago
1999
IEEE
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...
102
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CAINE
2009
14 years 7 months ago
2009
An efficient customer behavior analysis is important for good Recommender System. Customer transaction clustering is usually the first step towards the analysis of customer behavi...
DASFAA
2004
IEEE
15 years 1 months ago
2004
IEEE
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
BIODATAMINING
2008
14 years 9 months ago
2008
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
EDBT
2004
ACM
15 years 9 months ago
2004
ACM
Abstract. Clustering is a problem of great practical importance in numerous applications. The problem of clustering becomes more challenging when the data is categorical, that is, ...