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» Mining compositional features for boosting
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KDD
2008
ACM
192views Data Mining» more  KDD 2008»
14 years 5 months ago
Partial least squares regression for graph mining
Attributed graphs are increasingly more common in many application domains such as chemistry, biology and text processing. A central issue in graph mining is how to collect inform...
Hiroto Saigo, Koji Tsuda, Nicole Krämer
KDD
2002
ACM
173views Data Mining» more  KDD 2002»
14 years 5 months ago
LumberJack: Intelligent Discovery and Analysis of Web User Traffic Composition
Web Usage Mining enables new understanding of user goals on the Web. This understanding has broad applications, and traditional mining techniques such as association rules have bee...
Ed Huai-hsin Chi, Adam Rosien, Jeffrey Heer
KDD
2007
ACM
190views Data Mining» more  KDD 2007»
14 years 5 months ago
Model-shared subspace boosting for multi-label classification
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
Rong Yan, Jelena Tesic, John R. Smith
IFIP12
2008
13 years 6 months ago
Mining Fuzzy Association Rules from Composite Items
This paper presents an approach for mining fuzzy Association Rules (ARs) relating the properties of composite items, i.e. items that each feature a number of values derived from a ...
M. Sulaiman Khan, Maybin K. Muyeba, Frans Coenen
JCP
2006
74views more  JCP 2006»
13 years 5 months ago
Local Boosting of Decision Stumps for Regression and Classification Problems
Numerous data mining problems involve an investigation of associations between features in heterogeneous datasets, where different prediction models can be more suitable for differ...
Sotiris B. Kotsiantis, Dimitris Kanellopoulos, Pan...