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» Using Clustering Methods for Discovering Event Structures
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128
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ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
15 years 8 months ago
Estimating the number of segments in time series data using permutation tests
Segmentation is a popular technique for discovering structure in time series data. We address the largely open problem of estimating the number of segments that can be reliably di...
Kari Vasko, Hannu Toivonen
109
Voted
INEX
2005
Springer
15 years 9 months ago
A Flexible Structured-Based Representation for XML Document Mining
This paper reports on the INRIA group’s approach to XML mining while participating in the INEX XML Mining track 2005. We use a flexible representation of XML documents that allo...
Anne-Marie Vercoustre, Mounir Fegas, Saba Gul, Yve...
126
Voted
CVPR
2008
IEEE
16 years 5 months ago
Context-aware clustering
Most existing methods of semi-supervised clustering introduce supervision from outside, e.g., manually label some data samples or introduce constrains into clustering results. Thi...
Junsong Yuan, Ying Wu
138
Voted
HICSS
2006
IEEE
133views Biometrics» more  HICSS 2006»
15 years 9 months ago
Being Literate with Large Document Collections: Observational Studies and Cost Structure Tradeoffs
How do people work with large document collections? We studied the effects of different kinds of analysis tools on the behavior of people doing rapid large-volume data assessment,...
Daniel M. Russell, Malcolm Slaney, Yan Qu, Mave Ho...
135
Voted
DAWAK
1999
Springer
15 years 8 months ago
Mining Interval Time Series
Data mining can be used to extensively automate the data analysis process. Techniques for mining interval time series, however, have not been considered. Such time series are commo...
Roy Villafane, Kien A. Hua, Duc A. Tran, Basab Mau...