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ICDM
2003
IEEE
100views Data Mining» more  ICDM 2003»
14 years 2 months ago
Tractable Group Detection on Large Link Data Sets
Discovering underlying structure from co-occurrence data is an important task in a variety of fields, including: insurance, intelligence, criminal investigation, epidemiology, hu...
Jeremy Kubica, Andrew W. Moore, Jeff G. Schneider
ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
14 years 2 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
ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
14 years 3 months ago
Extracting Author Meta-Data from Web Using Visual Features
Enriching digital library’s author meta-data can lead to valuable services and applications. This paper addresses the problem of extracting authors’ information from their hom...
Shuyi Zheng, Ding Zhou, Jia Li, C. Lee Giles
AUSDM
2006
Springer
112views Data Mining» more  AUSDM 2006»
14 years 1 months ago
The Scamseek Project - Text Mining for Financial Scams on the Internet
The Scamseek project, as commissioned by ASIC has the principal objective of building an industrially viable system that retrieves potential scam candidate documents from the Inte...
Jon Patrick
SIGIR
2010
ACM
14 years 1 months ago
Ready to buy or just browsing?: detecting web searcher goals from interaction data
An improved understanding of the relationship between search intent, result quality, and searcher behavior is crucial for improving the effectiveness of web search. While recent p...
Qi Guo, Eugene Agichtein