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» Benchmarking Data Mining Algorithms
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ICDM
2005
IEEE
117views Data Mining» more  ICDM 2005»
15 years 10 months ago
On Learning Asymmetric Dissimilarity Measures
Many practical applications require that distance measures to be asymmetric and context-sensitive. We introduce Context-sensitive Learnable Asymmetric Dissimilarity (CLAD) measure...
Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agra...
ICDM
2005
IEEE
147views Data Mining» more  ICDM 2005»
15 years 10 months ago
Partial Elastic Matching of Time Series
We consider the problem of elastic matching of time series. We propose an algorithm that determines a subsequence of a target time series that best matches a query series. In the ...
Longin Jan Latecki, Vasileios Megalooikonomou, Qia...
143
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PAKDD
2005
ACM
96views Data Mining» more  PAKDD 2005»
15 years 10 months ago
Kernels over Relational Algebra Structures
Abstract. In this paper we present a novel and general framework based on concepts of relational algebra for kernel-based learning over relational schema. We exploit the notion of ...
Adam Woznica, Alexandros Kalousis, Melanie Hilario
KDD
2004
ACM
173views Data Mining» more  KDD 2004»
15 years 10 months ago
Collaborative Quality Filtering: Establishing Consensus or Recovering Ground Truth?
We present a algorithm based on factor analysis for performing collaborative quality filtering (CQF). Unlike previous approaches to CQF, which estimate the consensus opinion of a...
Jonathan Traupman, Robert Wilensky
ICDM
2002
IEEE
139views Data Mining» more  ICDM 2002»
15 years 10 months ago
An Incremental Approach to Building a Cluster Hierarchy
In this paper we present a novel Incremental Hierarchical Clustering (IHC) algorithm. Our approach aims to construct a hierarchy that satisfies the homogeneity and the monotonici...
Dwi H. Widyantoro, Thomas R. Ioerger, John Yen