Sciweavers

ICDM
2005
IEEE
142views Data Mining» more  ICDM 2005»
13 years 9 months ago
Shortest-Path Kernels on Graphs
Data mining algorithms are facing the challenge to deal with an increasing number of complex objects. For graph data, a whole toolbox of data mining algorithms becomes available b...
Karsten M. Borgwardt, Hans-Peter Kriegel
ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
13 years 9 months ago
Usage-Based PageRank for Web Personalization
Recommendation algorithms aim at proposing “next” pages to a user based on her current visit and the past users’ navigational patterns. In the vast majority of related algor...
Magdalini Eirinaki, Michalis Vazirgiannis
ICDM
2005
IEEE
185views Data Mining» more  ICDM 2005»
13 years 9 months ago
Adaptive Product Normalization: Using Online Learning for Record Linkage in Comparison Shopping
The problem of record linkage focuses on determining whether two object descriptions refer to the same underlying entity. Addressing this problem effectively has many practical ap...
Mikhail Bilenko, Sugato Basu, Mehran Sahami
ICDM
2005
IEEE
185views Data Mining» more  ICDM 2005»
13 years 9 months ago
Semi-Supervised Mixture of Kernels via LPBoost Methods
We propose an algorithm to construct classification models with a mixture of kernels from labeled and unlabeled data. The derived classifier is a mixture of models, each based o...
Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao
ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
13 years 9 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»
13 years 9 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»
13 years 9 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»
13 years 9 months ago
Mining Frequent Spatio-Temporal Sequential Patterns
Huiping Cao, Nikos Mamoulis, David W. Cheung
ICDM
2005
IEEE
190views Data Mining» more  ICDM 2005»
13 years 9 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»
13 years 9 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...