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» Discovering data dependencies in Web content mining
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ACSW
2004
15 years 1 months ago
Discovering Parallel Text from the World Wide Web
Parallel corpus is a rich linguistic resource for various multilingual text management tasks, including crosslingual text retrieval, multilingual computational linguistics and mul...
Jisong Chen, Rowena Chau, Chung-Hsing Yeh
ICDM
2008
IEEE
143views Data Mining» more  ICDM 2008»
15 years 6 months ago
Exploiting Data Semantics to Discover, Extract, and Model Web Sources
We describe DEIMOS, a system that automatically discovers and models new sources of information. The system exploits four core technologies developed by our group that makes an en...
José Luis Ambite, Craig A. Knoblock, Kristi...
CORR
2010
Springer
208views Education» more  CORR 2010»
14 years 11 months ago
Discovering potential user browsing behaviors using custom-built apriori algorithm
Most of the organizations put information on the web because they want it to be seen by the world. Their goal is to have visitors come to the site, feel comfortable and stay a whi...
Sandeep Singh Rawat, Lakshmi Rajamani
KDD
2003
ACM
161views Data Mining» more  KDD 2003»
16 years 2 days ago
Empirical Bayesian data mining for discovering patterns in post-marketing drug safety
Because of practical limits in characterizing the safety profiles of therapeutic products prior to marketing, manufacturers and regulatory agencies perform post-marketing surveill...
David M. Fram, June S. Almenoff, William DuMouchel
KDD
2007
ACM
170views Data Mining» more  KDD 2007»
16 years 2 days ago
From frequent itemsets to semantically meaningful visual patterns
Data mining techniques that are successful in transaction and text data may not be simply applied to image data that contain high-dimensional features and have spatial structures....
Junsong Yuan, Ying Wu, Ming Yang