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» Association Rule Mining Algorithms for Set-Valued Data
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KDD
2005
ACM
165views Data Mining» more  KDD 2005»
14 years 8 months ago
Co-clustering by block value decomposition
Dyadic data matrices, such as co-occurrence matrix, rating matrix, and proximity matrix, arise frequently in various important applications. A fundamental problem in dyadic data a...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
ICIP
2010
IEEE
13 years 5 months ago
Building Emerging Pattern (EP) Random forest for recognition
The Random forest classifier comes to be the working horse for visual recognition community. It predicts the class label of an input data by aggregating the votes of multiple tree...
Liang Wang, Yizhou Wang, Debin Zhao
ECTEL
2007
Springer
14 years 1 months ago
Using MotSaRT to Support On-Line Teachers in Student Motivation
Motivation to learn is affected by a student’s self-efficacy, goal orientation, locus of control and perceived task difficulty. In the classroom, teachers know how to motivate th...
Teresa Hurley, Stephan Weibelzahl
CORR
2010
Springer
129views Education» more  CORR 2010»
13 years 7 months ago
Attribute oriented induction with star schema
: This paper will propose a novel star schema attribute induction as a new attribute induction paradigm and as improving from current attribute oriented induction. A novel star sch...
Spits Warnars H. L. H
PKDD
2007
Springer
146views Data Mining» more  PKDD 2007»
14 years 1 months ago
A Method for Multi-relational Classification Using Single and Multi-feature Aggregation Functions
This paper presents a novel method for multi-relational classification via an aggregation-based Inductive Logic Programming (ILP) approach. We extend the classical ILP representati...
Richard Frank, Flavia Moser, Martin Ester