Simulating and modeling dual market segmentation using PSA framework

Show simple item record Liu, Jiamou en Wei, Ziheng en Bai, Q en
dc.contributor.editor Bai, Q en
dc.contributor.editor Ren, F en
dc.contributor.editor Fujita, K en
dc.contributor.editor Zhang, M en
dc.contributor.editor Ito, T en 2017-04-04T02:31:34Z en 2017 en
dc.identifier.citation International Workshop on Smart Simulation and Modelling for Complex Systems (SSMCS’15), Buenos Aires, 25 Jul 2015 - 31 Jul 2015. Editors: Bai Q, Ren F, Fujita K, Zhang M, Ito T. Studies in Computational Intelligence: Multi-agent and Complex Systems. Springer, Singapore. 670: 3-18. 2017 en
dc.identifier.isbn 978-981-10-2563-1 en
dc.identifier.uri en
dc.description.abstract Market segmentation refers to the analytical process of dividing a broad market into segments taking into account multiple factors such as consumer needs, interests and tastes; it has been considered one of the most important marketing strategies as it helps a business to identify hidden market trends, define target segments, and design marketing plans. Market segmentation may also be viewed as a computational challenge: Given the massive amount of data describing interactions between consumers and commodities, the task is to partition the set of consumers and commodities into subsets that corresponds to market segments—two consumers are in the same segments when they exhibit a similar purchasing pattern, while two products are in the same segments when they are purchased by a similar group of consumers. In this work, we focus on the definition and simulation of market segments. We employ the Propose-Select-Adjust (PSA) framework, introduced in an earlier work [10], to simulate the forming of market segments. Our approach is distributed and can be applied to large and dynamic market data set. The experimental results suggest that the proposed approach is a promising technique for supporting intelligent market segmentation. en
dc.description.uri en
dc.publisher Springer en
dc.relation.ispartof Multi-agent and Complex Systems en
dc.relation.ispartofseries Studies in Computational Intelligence en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from en
dc.rights.uri en
dc.title Simulating and modeling dual market segmentation using PSA framework en
dc.type Book Item en
dc.identifier.doi 10.1007/978-981-10-2564-8_1 en
pubs.begin-page 3 en
pubs.volume 670 en
dc.description.version AM - Accepted Manuscript en
dc.rights.holder Copyright: Springer en
pubs.end-page 18 en Singapore en
pubs.publication-status Published en
dc.rights.accessrights en
pubs.elements-id 552312 en Science en School of Computer Science en
pubs.record-created-at-source-date 2017-04-04 en

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