Abstract
Data mining is a process of discovery of relationship, patterns and knowledge from data. The emergence of network-based cluster computing environment has created a natural demand for scalable techniques of data mining that can be exploit the full benefit of such environments. In this paper, we described system architecture for scalable and portable data mining architecture for clustered environment. The architecture contains modules for secure safe-thread communication, database connectivity, organized data management and efficient data analysis for generating global mining model.
Original language | English |
---|---|
Title of host publication | Applied Parallel Computing - Advanced Scientific Computing |
Subtitle of host publication | 6th International Conference, PARA 2002 Espoo, Finland, June 15-18, 2002 Proceedings |
Editors | Juha Fagerholm, Juha Haataja, Jari Järvinen, Mikko Lyly, Peter Raback, Ville Savolainen |
Place of Publication | Berlin Germany |
Publisher | Springer |
Pages | 89-98 |
Number of pages | 10 |
ISBN (Print) | 354043786X |
DOIs | |
Publication status | Published - 2002 |
Event | International Conference on Applied Parallel Computing 2002 - Espoo, Finland Duration: 15 Jun 2002 → 18 Jun 2002 Conference number: 6th |
Publication series
Name | Lecture Notes in Computer Science |
---|---|
Publisher | Springer |
Volume | 2367 |
ISSN (Print) | 0302-9743 |
Conference
Conference | International Conference on Applied Parallel Computing 2002 |
---|---|
Abbreviated title | PARA 2002 |
Country/Territory | Finland |
City | Espoo |
Period | 15/06/02 → 18/06/02 |