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197
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ICDM
2005
IEEE
128views Data Mining» more  ICDM 2005»
16 years 14 days ago
An Expected Utility Approach to Active Feature-Value Acquisition
In many classification tasks training data have missing feature values that can be acquired at a cost. For building accurate predictive models, acquiring all missing values is of...
Prem Melville, Foster J. Provost, Raymond J. Moone...
ICDM
2005
IEEE
165views Data Mining» more  ICDM 2005»
16 years 14 days ago
A Bernoulli Relational Model for Nonlinear Embedding
The notion of relations is extremely important in mathematics. In this paper, we use relations to describe the embedding problem and propose a novel stochastic relational model fo...
Gang Wang, Hui Zhang, Zhihua Zhang, Frederick H. L...
163
Voted
ICDM
2005
IEEE
146views Data Mining» more  ICDM 2005»
16 years 14 days ago
Merging Interface Schemas on the Deep Web via Clustering Aggregation
We consider the problem of integrating a large number of interface schemas over the Deep Web, The scale of the problem and the diversity of the sources present serious challenges ...
Wensheng Wu, AnHai Doan, Clement T. Yu
230
Voted
ICDM
2005
IEEE
153views Data Mining» more  ICDM 2005»
16 years 14 days ago
Speculative Markov Blanket Discovery for Optimal Feature Selection
In this paper we address the problem of learning the Markov blanket of a quantity from data in an efficient manner. Markov blanket discovery can be used in the feature selection ...
Sandeep Yaramakala, Dimitris Margaritis
201
Voted
ICDM
2005
IEEE
189views Data Mining» more  ICDM 2005»
16 years 14 days ago
Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering
We present a novel approach for clustering sequences of multi-dimensional trajectory data obtained from a sensor network. The sensory time-series data present new challenges to da...
Jie Yin, Qiang Yang