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» Discovering Case Knowledge Using Data Mining
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ICDM
2007
IEEE
139views Data Mining» more  ICDM 2007»
14 years 4 months ago
Data Clustering with a Relational Push-Pull Model
We present a new generative model for relational data in which relations between objects can have either a binding or a separating effect. For example, in a group of students sep...
Adam Anthony, Marie desJardins
FLAIRS
2007
14 years 22 days ago
The Evolution and Evaluation of an Internet Search Tool for Information Analysts
We are working on a project aimed at building next generation analyst support tools that focus analysts’ attention on the most critical and novel information found within the da...
Elizabeth T. Whitaker, Robert L. Simpson Jr.
IDEAL
2004
Springer
14 years 3 months ago
Prediction of Implicit Protein-Protein Interaction by Optimal Associative Feature Mining
Proteins are known to perform a biological function by interacting with other proteins or compounds. Since protein–protein interaction is intrinsic to most cellular processes, pr...
Jae-Hong Eom, Jeong Ho Chang, Byoung-Tak Zhang
ARGMAS
2009
Springer
14 years 5 months ago
Multi-Party Argument from Experience
Abstract. A framework, PISA, for conducting dialogues to resolve disputes concerning the correct categorisation of particular cases, is described. Unlike previous systems to conduc...
Maya Wardeh, Trevor J. M. Bench-Capon, Frans Coene...
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
14 years 11 months ago
The offset tree for learning with partial labels
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
Alina Beygelzimer, John Langford