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HIS
2004
15 years 7 months ago
Hybrid Learning Scheme for Data Mining Applications
Classification of large datasets is a challenging task in Data Mining. In the current work, we propose a novel method that compresses the data and classifies the test data directl...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
VLDB
2000
ACM
166views Database» more  VLDB 2000»
15 years 10 months ago
High-Performance and Scalability through Application Tier,In-Memory Data Management
TimesTen Performance Software's Front-Tier product is an application-tier data cache that inter-operates with disk-based relational database management systems (RDBMSs) to ac...
DAC
2001
ACM
16 years 7 months ago
Detection of Partially Simultaneously Alive Signals in Storage Requirement Estimation for Data Intensive Applications
In this paper, we propose a novel storage requirement estimation methodology for use in the early system design phases when the data transfer ordering is only partially fixed. At ...
Per Gunnar Kjeldsberg, Francky Catthoor, Einar J. ...
ICDM
2006
IEEE
152views Data Mining» more  ICDM 2006»
16 years 15 days ago
Application of Graph-based Data Mining to Metabolic Pathways
We present a method for finding biologically meaningful patterns on metabolic pathways using the SUBDUE graph-based relational learning system. A huge amount of biological data t...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
SCANGIS
2003
15 years 7 months ago
Parallel Distributed Application Framework for Earth Science Data Processing
The management and the processing of Earth science data has been gaining importance over the last decade due to higher data volumes generated by a larger number of instruments and ...
Petr Votava, Rama Nemani, Keith Golden, Daniel E. ...