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ICDM
2005
IEEE
163views Data Mining» more  ICDM 2005»
9 years 4 months ago
Efficient Text Classification by Weighted Proximal SVM
In this paper, we present an algorithm that can classify large-scale text data with high classification quality and fast training speed. Our method is based on a novel extension o...
Dong Zhuang, Benyu Zhang, Qiang Yang, Jun Yan, Zhe...
ICDM
2005
IEEE
149views Data Mining» more  ICDM 2005»
9 years 4 months ago
A Join-Less Approach for Co-Location Pattern Mining: A Summary of Results
Spatial co-location patterns represent the subsets of features whose instances are frequently located together in geographic space. Co-location pattern discovery presents challeng...
Jin Soung Yoo, Shashi Shekhar, Mete Celik
ICDM
2005
IEEE
189views Data Mining» more  ICDM 2005»
9 years 4 months 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
ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
9 years 4 months ago
Learning through Changes: An Empirical Study of Dynamic Behaviors of Probability Estimation Trees
In practice, learning from data is often hampered by the limited training examples. In this paper, as the size of training data varies, we empirically investigate several probabil...
Kun Zhang, Zujia Xu, Jing Peng, Bill P. Buckles
ICDM
2005
IEEE
179views Data Mining» more  ICDM 2005»
9 years 4 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»
9 years 4 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»
9 years 4 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»
9 years 4 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»
9 years 4 months ago
Invited Talks
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