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ICDM
2006
IEEE
145views Data Mining» more  ICDM 2006»
9 years 6 months ago
Stability Region Based Expectation Maximization for Model-based Clustering
In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
ICDM
2006
IEEE
100views Data Mining» more  ICDM 2006»
9 years 6 months ago
Semantic Smoothing for Model-based Document Clustering
Xiaodan Zhang, Xiaohua Zhou, Xiaohua Hu
ICDM
2006
IEEE
108views Data Mining» more  ICDM 2006»
9 years 6 months ago
Integrating Features from Different Sources for Music Information Retrieval
Efficient and intelligent music information retrieval is a very important topic of the 21st century. With the ultimate goal of building personal music information retrieval syste...
Tao Li, Mitsunori Ogihara, Shenghuo Zhu
ICDM
2006
IEEE
107views Data Mining» more  ICDM 2006»
9 years 6 months ago
Improving Grouped-Entity Resolution Using Quasi-Cliques
The entity resolution (ER) problem, which identifies duplicate entities that refer to the same real world entity, is essential in many applications. In this paper, in particular,...
Byung-Won On, Ergin Elmacioglu, Dongwon Lee, Jaewo...
ICDM
2006
IEEE
184views Data Mining» more  ICDM 2006»
9 years 6 months ago
MARGIN: Maximal Frequent Subgraph Mining
The exponential number of possible subgraphs makes the problem of frequent subgraph mining a challenge. Maximal frequent mining has triggered much interest since the size of the s...
Lini T. Thomas, Satyanarayana R. Valluri, Kamalaka...
ICDM
2006
IEEE
226views Data Mining» more  ICDM 2006»
9 years 6 months ago
Converting Output Scores from Outlier Detection Algorithms into Probability Estimates
Current outlier detection schemes typically output a numeric score representing the degree to which a given observation is an outlier. We argue that converting the scores into wel...
Jing Gao, Pang-Ning Tan
ICDM
2006
IEEE
76views Data Mining» more  ICDM 2006»
9 years 6 months ago
How Bayesians Debug
Manual debugging is expensive. And the high cost has motivated extensive research on automated fault localization in both software engineering and data mining communities. Fault l...
Chao Liu 0001, Zeng Lian, Jiawei Han
ICDM
2006
IEEE
161views Data Mining» more  ICDM 2006»
9 years 6 months ago
Personalization in Context: Does Context Matter When Building Personalized Customer Models?
The idea that context is important when predicting customer behavior has been maintained by scholars in marketing and data mining. However, no systematic study measuring how much ...
Michele Gorgoglione, Cosimo Palmisano, Alexander T...
ICDM
2006
IEEE
108views Data Mining» more  ICDM 2006»
9 years 6 months ago
Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression
We present two new support vector approaches for ordinal regression. These approaches find the concentric spheres with minimum volume that contain most of the training samples. B...
Shirish Krishnaj Shevade, Wei Chu
ICDM
2006
IEEE
166views Data Mining» more  ICDM 2006»
9 years 6 months ago
Mining Generalized Graph Patterns Based on User Examples
There has been a lot of recent interest in mining patterns from graphs. Often, the exact structure of the patterns of interest is not known. This happens, for example, when molecu...
Pavel Dmitriev, Carl Lagoze
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