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KDD
1995
ACM
139views Data Mining» more  KDD 1995»
14 years 2 months ago
Resource and Knowledge Discovery in Global Information Systems: A Preliminary Design and Experiment
Eficient and efiective discovery of resource and knowledge from the Internet has become an imminent research issue, especially with the advent of the Information Super-Highway. A ...
Osmar R. Zaïane, Jiawei Han
CIKM
2008
Springer
14 years 1 months ago
Using structured text for large-scale attribute extraction
We propose a weakly-supervised approach for extracting class attributes from structured text available within Web documents. The overall precision of the extracted attributes is a...
Sujith Ravi, Marius Pasca
ECIR
2007
Springer
14 years 19 days ago
A Bayesian Approach for Learning Document Type Relevance
Retrieval accuracy can be improved by considering which document type should be filtered out and which should be ranked higher in the result list. Hence, document type can be used...
Peter C. K. Yeung, Stefan Büttcher, Charles L...
ISMB
1993
14 years 15 days ago
Using Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein Families
A Bayesian method for estimating the amino acid distributions in the states of a hidden Markov model (HMM) for a protein familyor the columns of a multiple alignment of that famil...
Michael Brown, Richard Hughey, Anders Krogh, I. Sa...
JCP
2008
171views more  JCP 2008»
13 years 11 months ago
Mining Frequent Subgraph by Incidence Matrix Normalization
Existing frequent subgraph mining algorithms can operate efficiently on graphs that are sparse, have vertices with low and bounded degrees, and contain welllabeled vertices and edg...
Jia Wu, Ling Chen