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KDD
2003
ACM
180views Data Mining» more  KDD 2003»
14 years 8 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han
CCGRID
2007
IEEE
14 years 1 months ago
Adaptive Performance Modeling on Hierarchical Grid Computing Environments
In the past, efficient parallel algorithms have always been developed specifically for the successive generations of parallel systems (vector machines, shared-memory machines, d...
Wahid Nasri, Luiz Angelo Steffenel, Denis Trystram
PVLDB
2008
90views more  PVLDB 2008»
13 years 7 months ago
Sorting hierarchical data in external memory for archiving
Sorting hierarchical data in external memory is necessary for a wide variety of applications including archiving scientific data and dealing with large XML datasets. The topic of ...
Ioannis Koltsidas, Heiko Müller, Stratis Vigl...
CINQ
2004
Springer
180views Database» more  CINQ 2004»
13 years 11 months ago
Interactivity, Scalability and Resource Control for Efficient KDD Support in DBMS
The conflict between resource consumption and query performance in the data mining context often has no satisfactory solution. This not only stands in sharp contrast to the need of...
Matthias Gimbel, Michael Klein, Peter C. Lockemann
CLUSTER
2002
IEEE
14 years 17 days ago
A New Architecture for Secure Carrier-Class Clusters
Traditionally, the telecom industry has used clusters to meet its carrier-class requirements of high availability, reliability, and scalability, while relying on cost-effective ha...
Makan Pourzandi, Ibrahim Haddad, Charles Levert, M...