4085 search results - page 345 / 817 » Benchmarking Data Mining Algorithms |
141
Voted
PKDD
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. Semi-supervised clustering models, that incorporate user provided constraints to yield meaningful clusters, have recently become a popular area of research. In this paper...
132
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CORR
2007
Springer
15 years 4 months ago
2007
Springer
Data mining is a useful decision support technique that can be used to discover production rules in warehouses or corporate data. Data mining research has made much effort to appl...
168
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KDD
2012
ACM
13 years 7 months ago
2012
ACM
Temporal datasets, in which data evolves continuously, exist in a wide variety of applications, and identifying anomalous or outlying objects from temporal datasets is an importan...
132
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PAKDD
2009
ACM
15 years 11 months ago
2009
ACM
In this paper we propose to study budget semi-supervised learning, i.e., semi-supervised learning with a resource budget, such as a limited memory insufficient to accommodate and/...
140
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ICDM
2003
IEEE
15 years 9 months ago
2003
IEEE
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...