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» A Pattern Based Data Mining Approach
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ICDM
2007
IEEE
179views Data Mining» more  ICDM 2007»
15 years 7 months ago
GDClust: A Graph-Based Document Clustering Technique
This paper introduces a new technique of document clustering based on frequent senses. The proposed system, GDClust (Graph-Based Document Clustering) works with frequent senses ra...
M. Shahriar Hossain, Rafal A. Angryk
92
Voted
PAKDD
2005
ACM
133views Data Mining» more  PAKDD 2005»
15 years 6 months ago
An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning
This paper proposes a novel anomaly detection system for spacecrafts based on data mining techniques. It constructs a nonlinear probabilistic model w.r.t. behavior of a spacecraft ...
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida
110
Voted
IJCNN
2006
IEEE
15 years 6 months ago
Prototype based outlier detection
— Outliers refer to “minority” data that are different from most other data. They usually disturb data mining process. But, sometimes they provide valuable information. Thus,...
Seungtaek Kim, Sungzoon Cho
IEE
2008
108views more  IEE 2008»
15 years 26 days ago
Mining execution relations for crosscutting concerns
Aspect mining tries to identify crosscutting concerns in the code of existing systems and thus supports their adaption to an aspect-oriented design. A semi-automatic static aspect...
Jens Krinke
111
Voted
ICDM
2008
IEEE
115views Data Mining» more  ICDM 2008»
15 years 7 months ago
Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons
Nonnegative Matrix Factorization (NMF) is a dimension reduction method that has been widely used for various tasks including text mining, pattern analysis, clustering, and cancer ...
Jingu Kim, Haesun Park