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» Mining for Useful Association Rules Using the ATMS
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SPLST
2003
13 years 9 months ago
Compacting XML Documents
Abstract. Nowadays one of the most common formats for storing information is XML. The size of XML documents can be rather large, and they may contain redundant attributes which can...
Miklós Kálmán, Ferenc Havasi,...
ARTMED
1999
92views more  ARTMED 1999»
13 years 7 months ago
Two-Stage Machine Learning model for guideline development
We present a Two-Stage Machine Learning (ML) model as a data mining method to develop practice guidelines and apply it to the problem of dementia staging. Dementia staging in clin...
Subramani Mani, William Rodman Shankle, Malcolm B....
ICML
2002
IEEE
14 years 8 months ago
Univariate Polynomial Inference by Monte Carlo Message Length Approximation
We apply the Message from Monte Carlo (MMC) algorithm to inference of univariate polynomials. MMC is an algorithm for point estimation from a Bayesian posterior sample. It partiti...
Leigh J. Fitzgibbon, David L. Dowe, Lloyd Allison
SEMWEB
2001
Springer
14 years 4 days ago
A Scalable Framework for the Interoperation of Information Sources
Resolving heterogeneity among information systems is a crucial necessity if we wish to gain value from the many distributed resources available to us. Problems of heterogeneity in ...
Prasenjit Mitra, Gio Wiederhold, Stefan Decker
SIGIR
2008
ACM
13 years 7 months ago
Social tag prediction
In this paper, we look at the "social tag prediction" problem. Given a set of objects, and a set of tags applied to those objects by users, can we predict whether a give...
Paul Heymann, Daniel Ramage, Hector Garcia-Molina