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» Clustering by pattern similarity in large data sets
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PAKM
1998
13 years 9 months ago
Knowledge Management: A Text Mining Approach
Knowledge Discovery in Databases (KDD), also known as data mining, focuses on the computerized exploration of large amounts of data and on the discovery of interesting patterns wi...
Ronen Feldman, Moshe Fresko, Haym Hirsh, Yonatan A...
BMCBI
2004
208views more  BMCBI 2004»
13 years 7 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
BMCBI
2006
146views more  BMCBI 2006»
13 years 7 months ago
GeneTools - application for functional annotation and statistical hypothesis testing
Background: Modern biology has shifted from "one gene" approaches to methods for genomic-scale analysis like microarray technology, which allow simultaneous measurement ...
Vidar Beisvag, Frode K. R. Jünge, Hallgeir Be...
SSDBM
2005
IEEE
122views Database» more  SSDBM 2005»
14 years 1 months ago
Detection and Tracking of Discrete Phenomena in Sensor-Network Databases
This paper introduces a framework for Phenomena Detection and Tracking (PDT, for short) in sensor network databases. Examples of detectable phenomena include the propagation over ...
Mohamed H. Ali, Mohamed F. Mokbel, Walid G. Aref, ...
MIDDLEWARE
2004
Springer
14 years 27 days ago
A Content Model for Evaluating Peer-to-Peer Searching Techniques
Simulation studies are frequently used to evaluate new peer-to-peer searching techniques as well as existing techniques on new applications. Unless these studies are accurate in th...
Brian F. Cooper