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» Extracting Web Data Using Instance-Based Learning
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SIGMOD
2000
ACM
236views Database» more  SIGMOD 2000»
14 years 2 months ago
XTRACT: A System for Extracting Document Type Descriptors from XML Documents
XML is rapidly emerging as the new standard for data representation and exchange on the Web. An XML document can be accompanied by a Document Type Descriptor (DTD) which plays the...
Minos N. Garofalakis, Aristides Gionis, Rajeev Ras...
SIGIR
2004
ACM
14 years 3 months ago
Learning effective ranking functions for newsgroup search
Web communities are web virtual broadcasting spaces where people can freely discuss anything. While such communities function as discussion boards, they have even greater value as...
Wensi Xi, Jesper Lind, Eric Brill
WWW
2008
ACM
14 years 10 months ago
Improving web spam detection with re-extracted features
Web spam detection has become one of the top challenges for the Internet search industry. Instead of using some heuristic rules, we propose a feature re-extraction strategy to opt...
Guanggang Geng, Chunheng Wang, Qiudan Li
EDM
2010
145views Data Mining» more  EDM 2010»
13 years 11 months ago
Mining Rare Association Rules from e-Learning Data
Rare association rules are those that only appear infrequently even though they are highly associated with very specific data. In consequence, these rules can be very appropriate f...
Cristóbal Romero, José Raúl R...
VISAPP
2008
13 years 11 months ago
Continuous Learning of Simple Visual Concepts Using Incremental Kernel Density Estimation
In this paper we propose a method for continuous learning of simple visual concepts. The method continuously associates words describing observed scenes with automatically extracte...
Danijel Skocaj, Matej Kristan, Ales Leonardis