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» Agent-Enriched Data Mining Using an Extendable Framework
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PAKDD
2010
ACM
167views Data Mining» more  PAKDD 2010»
15 years 1 months ago
Resource-Bounded Information Extraction: Acquiring Missing Feature Values on Demand
We present a general framework for the task of extracting specific information “on demand” from a large corpus such as the Web under resource-constraints. Given a database wit...
Pallika Kanani, Andrew McCallum, Shaohan Hu
ICDM
2003
IEEE
118views Data Mining» more  ICDM 2003»
15 years 3 months ago
Links Between Kleinberg's Hubs and Authorities, Correspondence Analysis, and Markov Chains
In this work, we show that Kleinberg’s hubs and authorities model is closely related to both correspondence analysis, a well-known multivariate statistical technique, and a parti...
François Fouss, Marco Saerens, Jean-Michel ...
CORR
2000
Springer
120views Education» more  CORR 2000»
14 years 9 months ago
Scaling Up Inductive Logic Programming by Learning from Interpretations
When comparing inductive logic programming (ILP) and attribute-value learning techniques, there is a trade-off between expressive power and efficiency. Inductive logic programming ...
Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart ...
ICASSP
2008
IEEE
15 years 4 months ago
A pattern classification framework for theoretical analysis of component forensics
Component forensics is an emerging methodology for forensic analysis that aims at estimating the algorithms and parameters in each component of a digital device. This paper propos...
Ashwin Swaminathan, Min Wu, K. J. Ray Liu
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
15 years 1 months ago
New perspectives and methods in link prediction
This paper examines important factors for link prediction in networks and provides a general, high-performance framework for the prediction task. Link prediction in sparse network...
Ryan Lichtenwalter, Jake T. Lussier, Nitesh V. Cha...