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» Mining for the most certain predictions from dyadic data
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KDD
2000
ACM
129views Data Mining» more  KDD 2000»
13 years 10 months ago
Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing
Predictive models in direct marketing seek to identify individuals most likely to respond to promotional solicitations or other intervention programs. While standard modeling appr...
Siddhartha Bhattacharyya
IPPS
2008
IEEE
14 years 1 months ago
Parallel mining of closed quasi-cliques
Graph structure can model the relationships among a set of objects. Mining quasi-clique patterns from large dense graph data makes sense with respect to both statistic and applica...
Yuzhou Zhang, Jianyong Wang, Zhiping Zeng, Lizhu Z...
ICDM
2010
IEEE
193views Data Mining» more  ICDM 2010»
13 years 4 months ago
Supervised Link Prediction Using Multiple Sources
Link prediction is a fundamental problem in social network analysis and modern-day commercial applications such as Facebook and Myspace. Most existing research approaches this pro...
Zhengdong Lu, Berkant Savas, Wei Tang, Inderjit S....
RSFDGRC
2005
Springer
187views Data Mining» more  RSFDGRC 2005»
14 years 6 days ago
Handling Missing Attribute Values in Preterm Birth Data Sets
The objective of our research was to find the best approach to handle missing attribute values in data sets describing preterm birth provided by the Duke University. Five strategi...
Jerzy W. Grzymala-Busse, Linda K. Goodwin, Witold ...
ICDM
2003
IEEE
136views Data Mining» more  ICDM 2003»
14 years 10 hour ago
Statistical Relational Learning for Document Mining
A major obstacle to fully integrated deployment of many data mining algorithms is the assumption that data sits in a single table, even though most real-world databases have compl...
Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence...