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» Mining Multiple Data Sources: Local Pattern Analysis
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KDD
2005
ACM
161views Data Mining» more  KDD 2005»
15 years 9 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
CIKM
2010
Springer
14 years 8 months ago
Mining interesting link formation rules in social networks
Link structures are important patterns one looks out for when modeling and analyzing social networks. In this paper, we propose the task of mining interesting Link Formation rules...
Cane Wing-ki Leung, Ee-Peng Lim, David Lo, Jianshu...
ICC
2008
IEEE
119views Communications» more  ICC 2008»
15 years 3 months ago
Wavelet-Based SNR Analysis in Building Satellite Terminal Fault Identification System
—With the rapid expansion of satellite communication, an increasing number of unattended ground terminals are spreading out to serve local customers. And there is a great demand ...
Liang Xu, Changcheng Huang
LWA
2007
14 years 11 months ago
Incremental Mining for Facility Management
Modern buildings are equipped with high-tech systems that take care of several fundamental aspects, e.g., air-conditioning, heating and water supply. The requirements posed on fac...
Katja Hose, Marcel Karnstedt, Daniel Klan, Kai-Uwe...
BMCBI
2011
14 years 4 months ago
PheMaDB: A solution for storage, retrieval, and analysis of high throughput phenotype data
Background: OmniLog™ phenotype microarrays (PMs) have the capability to measure and compare the growth responses of biological samples upon exposure to hundreds of growth condit...
Wenling E. Chang, Keri Sarver, Brandon W. Higgs, T...