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» Parallel Mining of Outliers in Large Database
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SIGMOD
2010
ACM
196views Database» more  SIGMOD 2010»
13 years 7 months ago
GAIA: graph classification using evolutionary computation
Discriminative subgraphs are widely used to define the feature space for graph classification in large graph databases. Several scalable approaches have been proposed to mine disc...
Ning Jin, Calvin Young, Wei Wang
ICDCS
2002
IEEE
14 years 13 days ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...
SC
2009
ACM
14 years 2 months ago
Evaluating use of data flow systems for large graph analysis
Large graph analysis has become increasingly important and is widely used in many applications such as web mining, social network analysis, biology, and information retrieval. The...
Andy Yoo, Ian Kaplan
IDEAS
2000
IEEE
90views Database» more  IDEAS 2000»
13 years 12 months ago
StreamJoin: A Generic Database Approach to Support the Class of Stream-Oriented Applications
Today many applications routinely generate large quantities of data. The data often takes the form of (time) series, or more generally streams, i.e. an ordered sequence of records...
Clara Nippl, Ralf Rantzau, Bernhard Mitschang
ICDE
2010
IEEE
290views Database» more  ICDE 2010»
13 years 11 months ago
The Model-Summary Problem and a Solution for Trees
Modern science is collecting massive amounts of data from sensors, instruments, and through computer simulation. It is widely believed that analysis of this data will hold the key ...
Biswanath Panda, Mirek Riedewald, Daniel Fink