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KDD
2008
ACM
259views Data Mining» more  KDD 2008»
16 years 7 months ago
Using ghost edges for classification in sparsely labeled networks
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 7 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
KDD
2003
ACM
161views Data Mining» more  KDD 2003»
16 years 7 months ago
Empirical Bayesian data mining for discovering patterns in post-marketing drug safety
Because of practical limits in characterizing the safety profiles of therapeutic products prior to marketing, manufacturers and regulatory agencies perform post-marketing surveill...
David M. Fram, June S. Almenoff, William DuMouchel
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
16 years 7 months ago
Exploiting response models: optimizing cross-sell and up-sell opportunities in banking
The banking industry regularly mounts campaigns to improve customer value by offering new products to existing customers. In recent years this approach has gained significant mome...
Andrew Storey, Marc-David Cohen
VLSID
2008
IEEE
138views VLSI» more  VLSID 2008»
16 years 7 months ago
Memory Architecture Exploration Framework for Cache Based Embedded SOC
Today's feature-rich multimedia products require embedded system solution with complex System-on-Chip (SoC) to meet market expectations of high performance at a low cost and l...
T. S. Rajesh Kumar, C. P. Ravikumar, R. Govindaraj...
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