TY - GEN
T1 - High performance data mining using data cubes on parallel computers
AU - Goil, S.
AU - Choudhary, A.
N1 - Funding Information:
This work was supported in part by NSF Young Investigator Award CCR-9357840 and NSF CCR-9509143. We would like to thank Dr. Inderpal Bhandari for discussions and helpful suggestions.
Publisher Copyright:
© 1998 IEEE.
PY - 1998
Y1 - 1998
N2 - 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.
AB - 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.
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U2 - 10.1109/IPPS.1998.669979
DO - 10.1109/IPPS.1998.669979
M3 - Conference contribution
AN - SCOPUS:85044842427
T3 - Proceedings of the 1st Merged International Parallel Processing Symposium and Symposium on Parallel and Distributed Processing, IPPS/SPDP 1998
SP - 548
EP - 555
BT - Proceedings of the 1st Merged International Parallel Processing Symposium and Symposium on Parallel and Distributed Processing, IPPS/SPDP 1998
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st Merged International Parallel Processing Symposium and Symposium on Parallel and Distributed Processing, IPPS/SPDP 1998
Y2 - 30 March 1998 through 3 April 1998
ER -