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» Mining Multiple Data Sources: Local Pattern Analysis
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BMCBI
2010
147views more  BMCBI 2010»
14 years 9 months ago
baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data
Background: High throughput sequencing has become an important technology for studying expression levels in many types of genomic, and particularly transcriptomic, data. One key w...
Thomas J. Hardcastle, Krystyna A. Kelly
SIGCOMM
2009
ACM
15 years 3 months ago
Towards automated performance diagnosis in a large IPTV network
IPTV is increasingly being deployed and offered as a commercial service to residential broadband customers. Compared with traditional ISP networks, an IPTV distribution network (i...
Ajay Anil Mahimkar, Zihui Ge, Aman Shaikh, Jia Wan...
BMCBI
2007
136views more  BMCBI 2007»
14 years 9 months ago
Genomorama: genome visualization and analysis
Background: The ability to visualize genomic features and design experimental assays that can target specific regions of a genome is essential for modern biology. To assist in the...
Jason D. Gans, Murray Wolinsky
WWW
2007
ACM
15 years 10 months ago
Why we search: visualizing and predicting user behavior
The aggregation and comparison of behavioral patterns on the WWW represent a tremendous opportunity for understanding past behaviors and predicting future behaviors. In this paper...
Eytan Adar, Daniel S. Weld, Brian N. Bershad, Stev...
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SSD
1995
Springer
146views Database» more  SSD 1995»
15 years 29 days ago
Discovery of Spatial Association Rules in Geographic Information Databases
Spatial data mining, i.e., discovery of interesting, implicit knowledge in spatial databases, is an important task for understanding and use of spatial data- and knowledge-bases. I...
Krzysztof Koperski, Jiawei Han