High performance data mining - Application for discovery of patterns in the global climate system

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Advances in technology and high-throughput experiment techniques have resulted in the availability of large data sets in commercial enterprises and in a wide variety of scientific and engineering disciplines. Data in terabytes range are not uncommon today and are expected to reach petabytes in the near future for many application domains in science, engineering, business, bioinformatics, and medicine. This has created an unprecedented opportunity to develop automated data-driven techniques of extracting useful knowledge. Data mining, an important step in this process of knowledge discovery, consists of methods that discover interesting, non-trivial, and useful patterns hidden in the data. This talk will provide an overview of a number of data mining research in our group for understanding patterns in global climate system and computational challenges in addressing them.

Original languageEnglish (US)
Title of host publicationHigh Performance Computing - HiPC 2007 - 14th International Conference, Proceedings
PublisherSpringer Verlag
Pages4
Number of pages1
ISBN (Print)9783540772194
DOIs
StatePublished - 2007
Event14th International Conference on High-Performance Computing, HiPC 2007 - Goa, India
Duration: Dec 18 2007Dec 21 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4873 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other14th International Conference on High-Performance Computing, HiPC 2007
CountryIndia
CityGoa
Period12/18/0712/21/07

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