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ICDM
2006
IEEE
147views Data Mining» more  ICDM 2006»
15 years 3 months ago
Adaptive Parallel Graph Mining for CMP Architectures
Mining graph data is an increasingly popular challenge, which has practical applications in many areas, including molecular substructure discovery, web link analysis, fraud detect...
Gregory Buehrer, Srinivasan Parthasarathy, Yen-Kua...
AUSDM
2006
Springer
100views Data Mining» more  AUSDM 2006»
15 years 1 months ago
Data Mining Methodological Weaknesses and Suggested Fixes
Predictive accuracy claims should give explicit descriptions of the steps followed, with access to the code used. This allows referees and readers to check for common traps, and t...
John H. Maindonald
ICDE
2007
IEEE
106views Database» more  ICDE 2007»
15 years 4 months ago
Mining Trajectory Databases via a Suite of Distance Operators
With the rapid progress of mobile devices and positioning technologies, Trajectory Databases (TD) have been in the core of database research during the last decade. Analysis and k...
Nikos Pelekis, Ioannis Kopanakis, Irene Ntoutsi, G...
ITNG
2007
IEEE
15 years 4 months ago
SEQUENCE PACKAGE ANALYSIS: A New Natural Language Understanding Method for Intelligent Mining of Recordings of Doctor-Patient In
Medical histories provide a rich resource for diagnoses and treatment. Similarly, consumers’ blog postings on health-related topics offer unique data for medical researchers, pr...
Amy Neustein
WSR
2008
14 years 11 months ago
Using Library Dependencies for Clustering
Abstract: Software clustering is an established approach to automatic architecture recovery. It groups components that are in some way similar to each other. Usually, the similarit...
Jochen Quante