Title: Data classification by parallel generation of set partitions

Authors: Hoang Chi Thanh

Addresses: Deceased; formerly of: Department of Computer Science, VNU University of Science, 334 – Nguyen Trai Rd., Thanh Xuan, Hanoi, Vietnam

Abstract: In this paper, we propose two data classification problems. As each crisp classification of a data object set is a partition of the set, so we apply our partition generation algorithm to the data classification problems. First, we recall our new simple algorithm generating partitions and parallelise it. Then we separate a data object set into classes by partitioning the set.

Keywords: data classification; parallel computing; set partitions; partition generation.

DOI: 10.1504/IJIIDS.2013.053547

International Journal of Intelligent Information and Database Systems, 2013 Vol.7 No.2, pp.135 - 147

Received: 19 Nov 2011
Accepted: 22 May 2012
Published online: 31 Mar 2014 *

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