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» Presenting Data from Experiments in Algorithmics
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WWW
2004
ACM
16 years 7 months ago
Mining models of human activities from the web
The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...
Mike Perkowitz, Matthai Philipose, Kenneth P. Fish...
KES
2006
Springer
15 years 6 months ago
Combined Gene Selection Methods for Microarray Data Analysis
In recent years, the rapid development of DNA Microarray technology has made it possible for scientists to monitor the expression level of thousands of genes in a single experiment...
Hong Hu, Jiuyong Li, Hua Wang, Grant Daggard
IJSNET
2008
126views more  IJSNET 2008»
15 years 6 months ago
Minimising the effect of WiFi interference in 802.15.4 wireless sensor networks
: Interference from colocated networks operating over the same frequency range, becomes an increasingly severe problem as the number of networks overlapping geographically increase...
Razvan Musaloiu-Elefteri, Andreas Terzis
JODS
2006
148views Data Mining» more  JODS 2006»
15 years 6 months ago
Discovering the Semantics of Relational Tables Through Mappings
Abstract. Many problems in Information and Data Management require a semantic account of a database schema. At its best, such an account consists of formulas expressing the relatio...
Yuan An, Alexander Borgida, John Mylopoulos
KDD
2003
ACM
192views Data Mining» more  KDD 2003»
16 years 7 months ago
Efficient elastic burst detection in data streams
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
Yunyue Zhu, Dennis Shasha