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ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
14 years 2 months ago
ViVo: Visual Vocabulary Construction for Mining Biomedical Images
Given a large collection of medical images of several conditions and treatments, how can we succinctly describe the characteristics of each setting? For example, given a large col...
Arnab Bhattacharya, Vebjorn Ljosa, Jia-Yu Pan, Mar...
ICDM
2005
IEEE
136views Data Mining» more  ICDM 2005»
14 years 2 months ago
Pairwise Symmetry Decomposition Method for Generalized Covariance Analysis
We propose a new theoretical framework for generalizing the traditional notion of covariance. First, we discuss the role of pairwise cross-cumulants by introducing a cluster expan...
Tsuyoshi Idé
ICDM
2005
IEEE
217views Data Mining» more  ICDM 2005»
14 years 2 months ago
Improving Automatic Query Classification via Semi-Supervised Learning
Accurate topical classification of user queries allows for increased effectiveness and efficiency in general-purpose web search systems. Such classification becomes critical if th...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...
ICDM
2005
IEEE
203views Data Mining» more  ICDM 2005»
14 years 2 months ago
Mining Frequent Spatio-Temporal Sequential Patterns
Huiping Cao, Nikos Mamoulis, David W. Cheung
ICDM
2005
IEEE
190views Data Mining» more  ICDM 2005»
14 years 2 months ago
Adaptive Clustering: Obtaining Better Clusters Using Feedback and Past Experience
Adaptive clustering uses external feedback to improve cluster quality; past experience serves to speed up execution time. An adaptive clustering environment is proposed that uses ...
Abraham Bagherjeiran, Christoph F. Eick, Chun-Shen...
ICDM
2005
IEEE
138views Data Mining» more  ICDM 2005»
14 years 2 months ago
On Feature Selection through Clustering
We study an algorithm for feature selection that clusters attributes using a special metric and then makes use of the dendrogram of the resulting cluster hierarchy to choose the m...
Richard Butterworth, Gregory Piatetsky-Shapiro, Da...
ICDM
2005
IEEE
157views Data Mining» more  ICDM 2005»
14 years 2 months ago
Blocking Anonymity Threats Raised by Frequent Itemset Mining
In this paper we study when the disclosure of data mining results represents, per se, a threat to the anonymity of the individuals recorded in the analyzed database. The novelty o...
Maurizio Atzori, Francesco Bonchi, Fosca Giannotti...
ICDM
2005
IEEE
130views Data Mining» more  ICDM 2005»
14 years 2 months ago
Obtaining Best Parameter Values for Accurate Classification
In this paper we examine the effect that the choice of support and confidence thresholds has on the accuracy of classifiers obtained by Classification Association Rule Mining. ...
Frans Coenen, Paul H. Leng
ICDM
2005
IEEE
134views Data Mining» more  ICDM 2005»
14 years 2 months ago
A Preference Model for Structured Supervised Learning Tasks
The preference model introduced in this paper gives a natural framework and a principled solution for a broad class of supervised learning problems with structured predictions, su...
Fabio Aiolli
ICDM
2005
IEEE
129views Data Mining» more  ICDM 2005»
14 years 2 months ago
Mining Chains of Relations
Traditional data mining applications consider the problem of mining a single relation between two attributes. For example, in a scientific bibliography database, authors are rela...
Foto N. Afrati, Gautam Das, Aristides Gionis, Heik...