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FQAS
2004
Springer
146views Database» more  FQAS 2004»
15 years 10 months ago
Discovering Representative Models in Large Time Series Databases
The discovery of frequently occurring patterns in a time series could be important in several application contexts. As an example, the analysis of frequent patterns in biomedical ...
Simona E. Rombo, Giorgio Terracina
GECCO
2008
Springer
232views Optimization» more  GECCO 2008»
15 years 7 months ago
An efficient SVM-GA feature selection model for large healthcare databases
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
Rick Chow, Wei Zhong, Michael Blackmon, Richard St...
PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
15 years 9 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
ICSM
2007
IEEE
16 years 17 days ago
Release Pattern Discovery: A Case Study of Database Systems
Studying the release-time activities of a software project — that is, activities that occur around the time of a major or minor release — can provide insights into both the de...
Abram Hindle, Michael W. Godfrey, Richard C. Holt
SIGKDD
2002
90views more  SIGKDD 2002»
15 years 5 months ago
Database Privacy
The emphasis in database privacy should fall on a balance between confidentiality, integrity and availability of personal data, rather than on confidentiality alone. This balance ...
Martin S. Olivier