Inducing load balancing and efficient data distribution prior to association rule discovery in a parallel environment

Anna M. Manning; John A. Keane

Inducing load balancing and efficient data distribution prior to association rule discovery in a parallel environment

Research output: Chapter in Book/Conference proceeding › Conference contribution

Abstract

Many association rule algorithms operate in a parallel environment where the database is divided up among a number of processors, a procedure which is usually carried out indiscriminately. The nature of the database partitioning can affect both the number of candidate sets produced and the workload at each processor. This paper demonstrates that Principal Component Analysis can be used successfully to help arrange the records of a database among processors so that efficient load balancing is enabled and candidate set duplication minimised. © Springer-Verlag Berlin Heidelberg 1999.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)\|Lect. Notes Comput. Sci.
Publisher	Springer Nature
Pages	1460-1463
Number of pages	3
Volume	1685
ISBN (Print)	3540664432, 9783540664437
Publication status	Published - 1999
Event	5th International Conference on Parallel Processing, Euro-Par 1999 - Toulouse Duration: 1 Jul 1999 → … http://dblp.uni-trier.de/db/conf/europar/europar99.html#FotisKS99http://dblp.uni-trier.de/rec/bibtex/conf/europar/FotisKS99.xmlhttp://dblp.uni-trier.de/rec/bibtex/conf/europar/FotisKS99

Publication series

Name	Lecture Notes in Computer Science

Conference

Conference	5th International Conference on Parallel Processing, Euro-Par 1999
City	Toulouse
Period	1/07/99 → …
Internet address	http://dblp.uni-trier.de/db/conf/europar/europar99.html#FotisKS99http://dblp.uni-trier.de/rec/bibtex/conf/europar/FotisKS99.xmlhttp://dblp.uni-trier.de/rec/bibtex/conf/europar/FotisKS99

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Manning, A. M., & Keane, J. A. (1999). Inducing load balancing and efficient data distribution prior to association rule discovery in a parallel environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci. (Vol. 1685, pp. 1460-1463). (Lecture Notes in Computer Science). Springer Nature. http://dblp.uni-trier.de/db/conf/europar/europar99.html#ManningK99

Manning, Anna M. ; Keane, John A. / Inducing load balancing and efficient data distribution prior to association rule discovery in a parallel environment. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. Vol. 1685 Springer Nature, 1999. pp. 1460-1463 (Lecture Notes in Computer Science).

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abstract = "Many association rule algorithms operate in a parallel environment where the database is divided up among a number of processors, a procedure which is usually carried out indiscriminately. The nature of the database partitioning can affect both the number of candidate sets produced and the workload at each processor. This paper demonstrates that Principal Component Analysis can be used successfully to help arrange the records of a database among processors so that efficient load balancing is enabled and candidate set duplication minimised. {\textcopyright} Springer-Verlag Berlin Heidelberg 1999.",

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Manning, AM & Keane, JA 1999, Inducing load balancing and efficient data distribution prior to association rule discovery in a parallel environment. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. vol. 1685, Lecture Notes in Computer Science, Springer Nature, pp. 1460-1463, 5th International Conference on Parallel Processing, Euro-Par 1999, Toulouse, 1/07/99. <http://dblp.uni-trier.de/db/conf/europar/europar99.html#ManningK99>

Inducing load balancing and efficient data distribution prior to association rule discovery in a parallel environment. / Manning, Anna M.; Keane, John A.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. Vol. 1685 Springer Nature, 1999. p. 1460-1463 (Lecture Notes in Computer Science).

Research output: Chapter in Book/Conference proceeding › Conference contribution

TY - GEN

T1 - Inducing load balancing and efficient data distribution prior to association rule discovery in a parallel environment

AU - Manning, Anna M.

AU - Keane, John A.

PY - 1999

Y1 - 1999

N2 - Many association rule algorithms operate in a parallel environment where the database is divided up among a number of processors, a procedure which is usually carried out indiscriminately. The nature of the database partitioning can affect both the number of candidate sets produced and the workload at each processor. This paper demonstrates that Principal Component Analysis can be used successfully to help arrange the records of a database among processors so that efficient load balancing is enabled and candidate set duplication minimised. © Springer-Verlag Berlin Heidelberg 1999.

AB - Many association rule algorithms operate in a parallel environment where the database is divided up among a number of processors, a procedure which is usually carried out indiscriminately. The nature of the database partitioning can affect both the number of candidate sets produced and the workload at each processor. This paper demonstrates that Principal Component Analysis can be used successfully to help arrange the records of a database among processors so that efficient load balancing is enabled and candidate set duplication minimised. © Springer-Verlag Berlin Heidelberg 1999.

M3 - Conference contribution

SN - 3540664432

SN - 9783540664437

VL - 1685

T3 - Lecture Notes in Computer Science

SP - 1460

EP - 1463

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.

PB - Springer Nature

T2 - 5th International Conference on Parallel Processing, Euro-Par 1999

Y2 - 1 July 1999

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Manning AM, Keane JA. Inducing load balancing and efficient data distribution prior to association rule discovery in a parallel environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. Vol. 1685. Springer Nature. 1999. p. 1460-1463. (Lecture Notes in Computer Science).

Inducing load balancing and efficient data distribution prior to association rule discovery in a parallel environment

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