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» Application of Fuzzy Rule Induction to Data Mining
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KDD
2007
ACM
202views Data Mining» more  KDD 2007»
14 years 6 months ago
Support feature machine for classification of abnormal brain activity
In this study, a novel multidimensional time series classification technique, namely support feature machine (SFM), is proposed. SFM is inspired by the optimization model of suppo...
Wanpracha Art Chaovalitwongse, Ya-Ju Fan, Rajesh C...
VLDB
2004
ACM
163views Database» more  VLDB 2004»
13 years 11 months ago
Compressing Large Boolean Matrices using Reordering Techniques
Large boolean matrices are a basic representational unit in a variety of applications, with some notable examples being interactive visualization systems, mining large graph struc...
David S. Johnson, Shankar Krishnan, Jatin Chhugani...
IEAAIE
2009
Springer
14 years 10 days ago
Robust Singular Spectrum Transform
Change Point Discovery is a basic algorithm needed in many time series mining applications including rule discovery, motif discovery, casual analysis, etc. Several techniques for c...
Yasser F. O. Mohammad, Toyoaki Nishida
ICPPW
2003
IEEE
13 years 11 months ago
Load Balancing on PC Clusters with the Super-Programming Model
Recent work in high-performance computing has shifted attention to PC clusters.. For PC-clusters, member nodes are independent computers connected by generalpurpose networks. The ...
Dejiang Jin, Sotirios G. Ziavras
FQAS
2004
Springer
146views Database» more  FQAS 2004»
13 years 9 months ago
Discovering Representative Models in Large Time Series Databases
The discovery of frequently occurring patterns in a time series could be important in several application contexts. As an example, the analysis of frequent patterns in biomedical ...
Simona E. Rombo, Giorgio Terracina