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ICDM
2005
IEEE
133views Data Mining» more  ICDM 2005»
13 years 10 months ago
Parameter-Free Spatial Data Mining Using MDL
Consider spatial data consisting of a set of binary features taking values over a collection of spatial extents (grid cells). We propose a method that simultaneously finds spatia...
Spiros Papadimitriou, Aristides Gionis, Panayiotis...
PAKDD
2010
ACM
158views Data Mining» more  PAKDD 2010»
13 years 9 months ago
Integrative Parameter-Free Clustering of Data with Mixed Type Attributes
Abstract. Integrative mining of heterogeneous data is one of the major challenges for data mining in the next decade. We address the problem of integrative clustering of data with ...
Christian Böhm, Sebastian Goebl, Annahita Osw...
KDD
2004
ACM
211views Data Mining» more  KDD 2004»
14 years 5 months ago
Towards parameter-free data mining
Most data mining algorithms require the setting of many input parameters. Two main dangers of working with parameter-laden algorithms are the following. First, incorrect settings ...
Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) R...
ICDM
2003
IEEE
100views Data Mining» more  ICDM 2003»
13 years 10 months ago
Towards Simple, Easy-to-Understand, yet Accurate Classifiers
Doina Caragea, Dianne Cook, Vasant Honavar