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KDD
2003
ACM
155views Data Mining» more  KDD 2003»
16 years 7 months ago
Graph-based anomaly detection
Anomaly detection is an area that has received much attention in recent years. It has a wide variety of applications, including fraud detection and network intrusion detection. A ...
Caleb C. Noble, Diane J. Cook
CIDM
2007
IEEE
16 years 1 months ago
Handwritten Digit, Recognition Road to Contest victory
— With growing amount of data gathered nowadays, the need for efficient data mining methodologies is getting more and more common. There is a large number of different classifi...
Norbert Jankowski, Krzysztof Grabczewski
WILF
2005
Springer
112views Fuzzy Logic» more  WILF 2005»
16 years 13 days ago
NEC for Gene Expression Analysis
Aim of this work is to apply a novel comprehensive machine learning tool for data mining to preprocessing and interpretation of gene expression data. Furthermore, some visualizatio...
Roberto Amato, Angelo Ciaramella, N. Deniskina, Ca...
KDD
2006
ACM
228views Data Mining» more  KDD 2006»
16 years 7 months ago
Algorithms for time series knowledge mining
Temporal patterns composed of symbolic intervals are commonly formulated with Allen's interval relations originating in temporal reasoning. This representation has severe dis...
Fabian Mörchen
HICSS
2008
IEEE
119views Biometrics» more  HICSS 2008»
16 years 1 months ago
Tree Mining in Mental Health Domain
The number of mentally ill people is increasing globally each year. Despite major medical advances, the identification of genetic and environmental factors responsible for mental ...
Maja Hadzic, Fedja Hadzic, Tharam S. Dillon