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ALGORITHMICA
2006
74views more  ALGORITHMICA 2006»
14 years 9 months ago
Parallelizing Feature Selection
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
Jerffeson Teixeira de Souza, Stan Matwin, Nathalie...
77
Voted
ARTMED
2006
75views more  ARTMED 2006»
14 years 9 months ago
Semi-automatic learning of simple diagnostic scores utilizing complexity measures
Objective: Knowledge acquisition and maintenance in medical domains with a large application domain ontology is a difficult task. To reduce knowledge elicitation costs, semiautoma...
Martin Atzmüller, Joachim Baumeister, Frank P...
66
Voted
CN
2006
78views more  CN 2006»
14 years 9 months ago
A short walk in the Blogistan
The increasingly prominent new subset of Web pages, called `blogs' differs from traditional Web pages both in characteristics and potential to applications. We explore three ...
Edith Cohen, Balachander Krishnamurthy
DATAMINE
2006
83views more  DATAMINE 2006»
14 years 9 months ago
Structural Hidden Markov Models Using a Relation of Equivalence: Application to Automotive Designs
Standard hidden Markov models (HMM's) have been studied extensively in the last two decades. It is well known that these models assume state conditional independence of the ob...
Djamel Bouchaffra, Jun Tan
81
Voted
IJNSEC
2008
115views more  IJNSEC 2008»
14 years 9 months ago
Improving Security Through Analysis of Log Files Intersections
The paper discusses our research in development of general and systematic methods for intrusion prevention. The key idea is to use data mining techniques to discover repeated patt...
Kazimierz Kowalski, Mohsen Beheshti