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» Clustering Customer Transactions: A Rough Set Based Approach
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JMLR
2002
111views more  JMLR 2002»
14 years 9 months ago
The Learning-Curve Sampling Method Applied to Model-Based Clustering
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Christopher Meek, Bo Thiesson, David Heckerman
ECIR
2006
Springer
14 years 11 months ago
Improving Quality of Search Results Clustering with Approximate Matrix Factorisations
Abstract. In this paper we show how approximate matrix factorisations can be used to organise document summaries returned by a search engine into meaningful thematic categories. We...
Stanislaw Osinski
BMCBI
2008
142views more  BMCBI 2008»
14 years 10 months ago
Microarray data mining: A novel optimization-based approach to uncover biologically coherent structures
Background: DNA microarray technology allows for the measurement of genome-wide expression patterns. Within the resultant mass of data lies the problem of analyzing and presenting...
Meng Piao Tan, Erin N. Smith, James R. Broach, Chr...
73
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PRDC
2006
IEEE
15 years 4 months ago
A Pragmatic Protocol for Database Replication in Interconnected Clusters
Multi-master update everywhere database replication, as achieved by protocols based on group communication such as DBSM and Postgres-R, addresses both performance and availability...
J. Grov, L. Soares, Alfrânio Correia Jr., Jo...
IEAAIE
2009
Springer
15 years 4 months ago
An Efficient Algorithm for Maintaining Frequent Closed Itemsets over Data Stream
Data mining refers to the process of revealing unknown and potentially useful information from a large database. Frequent itemsets mining is one of the foundational problems in dat...
Show-Jane Yen, Yue-Shi Lee, Cheng-Wei Wu, Chin-Lin...