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ICDM
2006
IEEE
127views Data Mining» more  ICDM 2006»
14 years 1 months ago
Predictive Integration of Gene Ontology-Driven Similarity and Functional Interactions
There is a need to develop methods to automatically incorporate prior knowledge to support the prediction and validation of novel functional associations. One such important sourc...
Francisco Azuaje, Haiying Wang, Huiru Zheng, Olivi...
PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
13 years 6 months ago
Learning Algorithms for Link Prediction Based on Chance Constraints
In this paper, we consider the link prediction problem, where we are given a partial snapshot of a network at some time and the goal is to predict the additional links formed at a ...
Janardhan Rao Doppa, Jun Yu, Prasad Tadepalli, Lis...
KDD
2002
ACM
182views Data Mining» more  KDD 2002»
14 years 8 months ago
ANF: a fast and scalable tool for data mining in massive graphs
Graphs are an increasingly important data source, with such important graphs as the Internet and the Web. Other familiar graphs include CAD circuits, phone records, gene sequences...
Christopher R. Palmer, Phillip B. Gibbons, Christo...
KDD
2003
ACM
142views Data Mining» more  KDD 2003»
14 years 8 months ago
Frequent-subsequence-based prediction of outer membrane proteins
A number of medically important disease-causing bacteria (collectively called Gram-negative bacteria) are noted for the extra "outer" membrane that surrounds their cell....
Rong She, Fei Chen 0002, Ke Wang, Martin Ester, Je...
MLDM
2009
Springer
14 years 2 months ago
PMCRI: A Parallel Modular Classification Rule Induction Framework
In a world where massive amounts of data are recorded on a large scale we need data mining technologies to gain knowledge from the data in a reasonable time. The Top Down Induction...
Frederic T. Stahl, Max A. Bramer, Mo Adda