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» Elimination of Redundant Information for Web Data Mining
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SDM
2010
SIAM
168views Data Mining» more  SDM 2010»
13 years 6 months ago
Convex Principal Feature Selection
A popular approach for dimensionality reduction and data analysis is principal component analysis (PCA). A limiting factor with PCA is that it does not inform us on which of the o...
Mahdokht Masaeli, Yan Yan, Ying Cui, Glenn Fung, J...
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
11 years 10 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
BMCBI
2006
167views more  BMCBI 2006»
13 years 7 months ago
The bovine QTL viewer: a web accessible database of bovine Quantitative Trait Loci
Background: Many important agricultural traits such as weight gain, milk fat content and intramuscular fat (marbling) in cattle are quantitative traits. Most of the information on...
Pavana Polineni, Prathyusha Aragonda, Suresh R. Xa...
WWW
2003
ACM
14 years 8 months ago
Mining newsgroups using networks arising from social behavior
Recent advances in information retrieval over hyperlinked corpora have convincinglydemonstratedthat links carry less noisy information than text. We investigate the feasibility of...
Rakesh Agrawal, Sridhar Rajagopalan, Ramakrishnan ...
SIGIR
2011
ACM
12 years 10 months ago
Pseudo test collections for learning web search ranking functions
Test collections are the primary drivers of progress in information retrieval. They provide a yardstick for assessing the effectiveness of ranking functions in an automatic, rapi...
Nima Asadi, Donald Metzler, Tamer Elsayed, Jimmy L...