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ICDM
2005
IEEE
179views Data Mining» more  ICDM 2005»
14 years 2 months ago
Bagging with Adaptive Costs
Ensemble methods have proved to be highly effective in improving the performance of base learners under most circumstances. In this paper, we propose a new algorithm that combine...
Yi Zhang, W. Nick Street
ICDM
2005
IEEE
153views Data Mining» more  ICDM 2005»
14 years 2 months 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
ICDM
2005
IEEE
146views Data Mining» more  ICDM 2005»
14 years 2 months ago
On the Stationarity of Multivariate Time Series for Correlation-Based Data Analysis
Multivariate time series (MTS) data sets are common in various multimedia, medical and financial application domains. These applications perform several data-analysis operations ...
Kiyoung Yang, Cyrus Shahabi
ICDM
2005
IEEE
133views Data Mining» more  ICDM 2005»
14 years 2 months ago
Panel Session
 The Foundation Coalition and others have been working on the development of Concept Inventory (CI) assessment instruments patterned after the well-known Force Concept Inventory...
ICDM
2005
IEEE
302views Data Mining» more  ICDM 2005»
14 years 2 months ago
Invited Talks
ICDM
2005
IEEE
146views Data Mining» more  ICDM 2005»
14 years 2 months 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
ICDM
2005
IEEE
148views Data Mining» more  ICDM 2005»
14 years 2 months ago
Hot Item Mining and Summarization from Multiple Auction Web Sites
Online auction Web sites are fast changing, highly dynamic, and complex as they involve tremendous sellers and potential buyers, as well as a huge amount of items listed for biddi...
Tak-Lam Wong, Wai Lam
ICDM
2005
IEEE
165views Data Mining» more  ICDM 2005»
14 years 2 months 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...