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» Discovering data dependencies in Web content mining
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LWA
2007
15 years 1 months ago
Know the Right People? Recommender Systems for Web 2.0
Web 2.0 applications like Flickr, YouTube, or Del.icio.us are increasingly popular online communities for creating, editing and sharing content. However, the rapid increase in siz...
Stefan Siersdorfer, Sergej Sizov, Paul Clough
IJCAI
2003
15 years 1 months ago
Web Page Cleaning for Web Mining through Feature Weighting
Unlike conventional data or text, Web pages typically contain a large amount of information that is not part of the main contents of the pages, e.g., banner ads, navigation bars, ...
Lan Yi, Bing Liu
ISSRE
2005
IEEE
15 years 5 months ago
Helping End-Users "Engineer" Dependable Web Applications
End-user programmers are increasingly relying on web authoring environments to create web applications. Although often consisting primarily of web pages, such applications are inc...
Sebastian G. Elbaum, Kalyan-Ram Chilakamarri, Bhuv...
KDD
2008
ACM
174views Data Mining» more  KDD 2008»
16 years 3 days ago
Automatic identification of quasi-experimental designs for discovering causal knowledge
Researchers in the social and behavioral sciences routinely rely on quasi-experimental designs to discover knowledge from large databases. Quasi-experimental designs (QEDs) exploi...
David D. Jensen, Andrew S. Fast, Brian J. Taylor, ...
ICDE
2008
IEEE
137views Database» more  ICDE 2008»
16 years 1 months ago
Stop Chasing Trends: Discovering High Order Models in Evolving Data
Abstract-- Many applications are driven by evolving data -patterns in web traffic, program execution traces, network event logs, etc., are often non-stationary. Building prediction...
Shixi Chen, Haixun Wang, Shuigeng Zhou, Philip S. ...