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ICDM
2005
IEEE
147views Data Mining» more  ICDM 2005»
13 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...
ICDM
2005
IEEE
188views Data Mining» more  ICDM 2005»
13 years 10 months ago
Hierarchy-Regularized Latent Semantic Indexing
Organizing textual documents into a hierarchical taxonomy is a common practice in knowledge management. Beside textual features, the hierarchical structure of directories reflect...
Yi Huang, Kai Yu, Matthias Schubert, Shipeng Yu, V...
ICDM
2005
IEEE
109views Data Mining» more  ICDM 2005»
13 years 10 months ago
Triple Jump Acceleration for the EM Algorithm
This paper presents the triple jump framework for accelerating the EM algorithm and other bound optimization methods. The idea is to extrapolate the third search point based on th...
Han-Shen Huang, Bou-Ho Yang, Chun-Nan Hsu
ICDM
2005
IEEE
117views Data Mining» more  ICDM 2005»
13 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
161views Data Mining» more  ICDM 2005»
13 years 10 months ago
Making Logistic Regression a Core Data Mining Tool with TR-IRLS
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
Paul Komarek, Andrew W. Moore
ICDM
2005
IEEE
158views Data Mining» more  ICDM 2005»
13 years 10 months ago
Higher-Order Web Link Analysis Using Multilinear Algebra
Tamara G. Kolda, Brett W. Bader, Joseph P. Kenny
ICDM
2005
IEEE
165views Data Mining» more  ICDM 2005»
13 years 10 months ago
Orthogonal Neighborhood Preserving Projections
— Orthogonal Neighborhood Preserving Projections (ONPP) is a linear dimensionality reduction technique which attempts to preserve both the intrinsic neighborhood geometry of the ...
Effrosini Kokiopoulou, Yousef Saad
ICDM
2005
IEEE
271views Data Mining» more  ICDM 2005»
13 years 10 months ago
HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence
In this work, we introduce the new problem of finding time series discords. Time series discords are subsequences of a longer time series that are maximally different to all the r...
Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu
ICDM
2005
IEEE
151views Data Mining» more  ICDM 2005»
13 years 10 months ago
A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria
In this paper, we propose a semi-supervised framework for learning a weighted Euclidean subspace, where the best clustering can be achieved. Our approach capitalizes on user-const...
Maria Halkidi, Dimitrios Gunopulos, Nitin Kumar, M...
ICDM
2005
IEEE
128views Data Mining» more  ICDM 2005»
13 years 10 months ago
Supervised Ordering - An Empirical Survey
Ordered lists of objects are widely used as representational forms. Such ordered objects include Web search results or bestseller lists. In spite of their importance, methods of p...
Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho