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» Feature Hierarchies for Object Classification
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FDL
2007
IEEE
13 years 10 months ago
Transaction Level Modelling: A reflection on what TLM is and how TLMs may be classified
Transaction-level modelling (TLM) is a poorlyterm, promising a level of abstraction like RTL (register transfer level), where the key feature is a `transaction'. But unlike r...
Mark Burton, James Aldis, Robert Günzel, Wolf...
DKE
2006
157views more  DKE 2006»
13 years 6 months ago
XML structural delta mining: Issues and challenges
Recently, there is an increasing research efforts in XML data mining. These research efforts largely assumed that XML documents are static. However, in reality, the documents are ...
Qiankun Zhao, Ling Chen 0002, Sourav S. Bhowmick, ...
BMCBI
2007
125views more  BMCBI 2007»
13 years 6 months ago
Identification of discriminative characteristics for clusters from biologic data with InforBIO software
Background: There are a number of different methods for generation of trees and algorithms for phylogenetic analysis in the study of bacterial taxonomy. Genotypic information, suc...
Naoto Tanaka, Masataka Uchino, Satoru Miyazaki, Hi...
IJSI
2008
156views more  IJSI 2008»
13 years 6 months ago
Co-Training by Committee: A Generalized Framework for Semi-Supervised Learning with Committees
Many data mining applications have a large amount of data but labeling data is often difficult, expensive, or time consuming, as it requires human experts for annotation. Semi-supe...
Mohamed Farouk Abdel Hady, Friedhelm Schwenker
ISI
2008
Springer
13 years 6 months ago
Probabilistic frameworks for privacy-aware data mining
Often several cooperating parties would like to have a global view of their joint data for various data mining objectives, but cannot reveal the contents of individual records due...
Joydeep Ghosh