High performance data mining using data cubes on parallel computers

S. Goil, A. Choudhary

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

Abstract

On-line analytical processing techniques are used for data analysis and decision support systems. The multidimensionality of the underlying data is well represented by multidimensional databases. For data mining in knowledge discovery, OLAP calculations can be effectively used. For these, high performance parallel systems are required to provide interactive analysis. Precomputed aggregate calculations in a data cube can provide efficient query processing for OLAP applications. We present parallel data cube construction on distributed-memory parallel computers from a relational database. The data cube is used for data mining of associations using attribute focusing. Results are presented for these on the IBM-SP2, which show that our algorithms and techniques are scalable to a large number of processors, providing a high performance platform for such applications.

Original languageEnglish (US)
Title of host publicationProceedings of the 1st Merged International Parallel Processing Symposium and Symposium on Parallel and Distributed Processing, IPPS/SPDP 1998
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages548-555
Number of pages8
ISBN (Electronic)0818684038, 9780818684036
DOIs
StatePublished - Jan 1 1998
Event1st Merged International Parallel Processing Symposium and Symposium on Parallel and Distributed Processing, IPPS/SPDP 1998 - Orlando, United States
Duration: Mar 30 1998Apr 3 1998

Publication series

NameProceedings of the 1st Merged International Parallel Processing Symposium and Symposium on Parallel and Distributed Processing, IPPS/SPDP 1998
Volume1998-March

Other

Other1st Merged International Parallel Processing Symposium and Symposium on Parallel and Distributed Processing, IPPS/SPDP 1998
CountryUnited States
CityOrlando
Period3/30/984/3/98

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Networks and Communications

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