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» Approximate data mining in very large relational data
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112
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VLDB
2001
ACM
114views Database» more  VLDB 2001»
15 years 6 months ago
Distinct Sampling for Highly-Accurate Answers to Distinct Values Queries and Event Reports
Estimating the number of distinct values is a wellstudied problem, due to its frequent occurrence in queries and its importance in selecting good query plans. Previous work has sh...
Phillip B. Gibbons

Publication
197views
13 years 9 months ago
Convex non-negative matrix factorization for massive datasets
Non-negative matrix factorization (NMF) has become a standard tool in data mining, information retrieval, and signal processing. It is used to factorize a non-negative data matrix ...
C. Thurau, K. Kersting, M. Wahabzada, and C. Bauck...
ICDM
2009
IEEE
124views Data Mining» more  ICDM 2009»
15 years 8 months ago
Rule Ensembles for Multi-target Regression
—Methods for learning decision rules are being successfully applied to many problem domains, especially where understanding and interpretation of the learned model is necessary. ...
Timo Aho, Bernard Zenko, Saso Dzeroski
221
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ROCAI
2004
Springer
15 years 7 months ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer
WINE
2005
Springer
109views Economy» more  WINE 2005»
15 years 7 months ago
New Algorithms for Mining the Reputation of Participants of Online Auctions
The assessment of credibility and reputation of contractors in online auctions is the key issue in providing reliable environment for customer-to-customer e-commerce. Confident re...
Mikolaj Morzy