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ICDM
2005
IEEE
161views Data Mining» more  ICDM 2005»
14 years 2 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»
14 years 2 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»
14 years 2 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»
14 years 2 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»
14 years 2 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»
14 years 2 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
ICDM
2005
IEEE
139views Data Mining» more  ICDM 2005»
14 years 2 months ago
Stability of Feature Selection Algorithms
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
Alexandros Kalousis, Julien Prados, Melanie Hilari...
ICDM
2005
IEEE
166views Data Mining» more  ICDM 2005»
14 years 2 months ago
An Algorithm for In-Core Frequent Itemset Mining on Streaming Data
Frequent itemset mining is a core data mining operation and has been extensively studied over the last decade. This paper takes a new approach for this problem and makes two major...
Ruoming Jin, Gagan Agrawal
ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
14 years 2 months ago
A Scalable Collaborative Filtering Framework Based on Co-Clustering
Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
Thomas George, Srujana Merugu
ICDM
2005
IEEE
199views Data Mining» more  ICDM 2005»
14 years 2 months ago
CoLe: A Cooperative Data Mining Approach and Its Application to Early Diabetes Detection
We present CoLe, a cooperative data mining approach for discovering hybrid knowledge. It employs multiple different data mining algorithms, and combines results from them to enhan...
Jie Gao, Jörg Denzinger, Robert C. James