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» Data Mining for Genetics: A Genetic Algorithm Approach
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144
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MINENET
2005
ACM
15 years 10 months ago
Topographical proximity for mining network alarm data
Increasingly powerful fault management systems are required to ensure robustness and quality of service in today’s networks. In this context, event correlation is of prime impor...
Ann Devitt, Joseph Duffin, Robert Moloney
133
Voted
DKE
2006
110views more  DKE 2006»
15 years 5 months ago
Efficient mining of group patterns from user movement data
In this paper, we present a new approach to derive groupings of mobile users based on their movement data. We assume that the user movement data are collected by logging location ...
Yida Wang, Ee-Peng Lim, San-Yih Hwang
168
Voted
IWPC
2010
IEEE
15 years 3 months ago
Using Data Fusion and Web Mining to Support Feature Location in Software
—Data fusion is the process of integrating multiple sources of information such that their combination yields better results than if the data sources are used individually. This ...
Meghan Revelle, Bogdan Dit, Denys Poshyvanyk
ICDM
2006
IEEE
161views Data Mining» more  ICDM 2006»
15 years 11 months ago
STAGGER: Periodicity Mining of Data Streams Using Expanding Sliding Windows
Sensor devices are becoming ubiquitous, especially in measurement and monitoring applications. Because of the real-time, append-only and semi-infinite natures of the generated se...
Mohamed G. Elfeky, Walid G. Aref, Ahmed K. Elmagar...
KDD
2006
ACM
150views Data Mining» more  KDD 2006»
16 years 5 months ago
Maximally informative k-itemsets and their efficient discovery
In this paper we present a new approach to mining binary data. We treat each binary feature (item) as a means of distinguishing two sets of examples. Our interest is in selecting ...
Arno J. Knobbe, Eric K. Y. Ho