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DAGSTUHL
2004
14 years 11 months ago
Knowledge-Based Sampling for Subgroup Discovery
Subgroup discovery aims at finding interesting subsets of a classified example set that deviates from the overall distribution. The search is guided by a so-called utility function...
Martin Scholz
CORR
2010
Springer
74views Education» more  CORR 2010»
14 years 9 months ago
Significance of Classification Techniques in Prediction of Learning Disabilities
The aim of this study is to show the importance of two classification techniques, viz. decision tree and clustering, in prediction of learning disabilities (LD) of school-age chil...
Julie M. David, Kannan Balakrishnan
WAW
2010
Springer
270views Algorithms» more  WAW 2010»
14 years 7 months ago
Fast Katz and Commuters: Efficient Estimation of Social Relatedness in Large Networks
Abstract. Motivated by social network data mining problems such as link prediction and collaborative filtering, significant research effort has been devoted to computing topologica...
Pooya Esfandiar, Francesco Bonchi, David F. Gleich...
JTAER
2008
175views more  JTAER 2008»
14 years 9 months ago
A Core Component-based Modelling Approach for Achieving e-Business Semantics Interoperability
The adoption of advanced integration technologies that enable private and public organizations to seamlessly execute their business transactions electronically is still relatively...
Till Janner, Fenareti Lampathaki, Volker Hoyer, Sp...
DSN
2009
IEEE
15 years 4 months ago
System log pre-processing to improve failure prediction
Log preprocessing, a process applied on the raw log before applying a predictive method, is of paramount importance to failure prediction and diagnosis. While existing filtering ...
Ziming Zheng, Zhiling Lan, Byung-Hoon Park, Al Gei...