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CMG
2001
13 years 8 months ago
Effective Use of the KDD Process and Data Mining for Computer Performance Professionals
- The KDD (Knowledge Discovery in Databases) paradigm is a step by step process for finding interesting patterns in large amounts of data. Data mining is one step in the process. T...
Susan P. Imberman
BMCBI
2006
113views more  BMCBI 2006»
13 years 7 months ago
In silico discovery of human natural antisense transcripts
Background: Several high-throughput searches for ppotential natural antisense transcripts (NATs) have been performed recently, but most of the reports were focused on cis type. A ...
Yuan-Yuan Li, Lei Qin, Zong-Ming Guo, Lei Liu, Hao...
SIGMOD
2003
ACM
121views Database» more  SIGMOD 2003»
14 years 7 months ago
An environmental sensor network to determine drinking water quality and security
Finding patterns in large, real, spatio/temporal data continues to attract high interest (e.g., sales of products over space and time, patterns in mobile phone users; sensor netwo...
Anastassia Ailamaki, Christos Faloutsos, Paul S. F...
KDD
2006
ACM
157views Data Mining» more  KDD 2006»
14 years 7 months ago
Using structure indices for efficient approximation of network properties
Statistics on networks have become vital to the study of relational data drawn from areas such as bibliometrics, fraud detection, bioinformatics, and the Internet. Calculating man...
Matthew J. Rattigan, Marc Maier, David Jensen
KDD
2008
ACM
138views Data Mining» more  KDD 2008»
14 years 7 months ago
A visual-analytic toolkit for dynamic interaction graphs
In this article we describe a visual-analytic tool for the interrogation of evolving interaction network data such as those found in social, bibliometric, WWW and biological appli...
Xintian Yang, Sitaram Asur, Srinivasan Parthasarat...