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» Phenomenal Data Mining: From Data to Phenomena
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KDD
2007
ACM
137views Data Mining» more  KDD 2007»
14 years 9 months ago
Characterising the difference
Characterising the differences between two databases is an often occurring problem in Data Mining. Detection of change over time is a prime example, comparing databases from two b...
Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
DASFAA
2008
IEEE
149views Database» more  DASFAA 2008»
13 years 10 months ago
A Test Paradigm for Detecting Changes in Transactional Data Streams
A pattern is considered useful if it can be used to help a person to achieve his goal. Mining data streams for useful patterns is important in many applications. However, data stre...
Willie Ng, Manoranjan Dash
KDD
2003
ACM
142views Data Mining» more  KDD 2003»
14 years 9 months ago
Extracting information from text and images for location proteomics
There is extensive interest in automating the collection, organization and summarization of biological data. Data in the form of figures and accompanying captions in literature pr...
Zhenzhen Kou, William W. Cohen, Robert F. Murphy
KDD
2005
ACM
91views Data Mining» more  KDD 2005»
14 years 9 months ago
On mining cross-graph quasi-cliques
Joint mining of multiple data sets can often discover interesting, novel, and reliable patterns which cannot be obtained solely from any single source. For example, in cross-marke...
Jian Pei, Daxin Jiang, Aidong Zhang
BSN
2009
IEEE
149views Sensor Networks» more  BSN 2009»
14 years 4 months ago
Optimizing Interval Training Protocols Using Data Mining Decision Trees
— Interval training consists of interl intensity exercises with rest periods. This training well known exercise protocol which helps stre improve one’s cardiovascular fitness. ...
Myung-kyung Suh, Mahsan Rofouei, Ani Nahapetian, W...