2065 search results - page 112 / 413 » Techniques of Cluster Algorithms in Data Mining |
186
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CORR
2004
Springer
15 years 6 months ago
2004
Springer
Mining frequent itemsets is at the core of mining association rules, and is by now quite well understood algorithmically for main memory databases. In this paper, we investigate a...
170
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CORR
2004
Springer
15 years 6 months ago
2004
Springer
Markov models have been widely utilized for modelling user web navigation behaviour. In this work we propose a dynamic clustering-based method to increase a Markov model's ac...
189
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KDD
2007
ACM
16 years 6 months ago
2007
ACM
Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...
174
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PAKDD
2007
ACM
16 years 14 days ago
2007
ACM
Abstract. We study the problem of mining frequent itemsets from uncertain data under a probabilistic framework. We consider transactions whose items are associated with existential...
153
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IDEAL
2007
Springer
16 years 15 days ago
2007
Springer
There are lots of validation indexes and techniques to study clustering results. Biclustering algorithms have been applied in Systems Biology, principally in DNA Microarray analysi...