Enhanced CRISP-DM model for SME coach operator

Siti Aishah Mohd Selamat, Simant Prakoonwit, Reza Sahandi and Wajid Khan
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Siti Aishah Mohd Selamat: Creative Technology Department, Faculty of Science and Technology, Bournemouth University, Dorset, England
Simant Prakoonwit: Creative Technology Department, Faculty of Science and Technology, Bournemouth University, Dorset, England
Reza Sahandi: Department of Computing, Faculty of Science and Technology, Bournemouth University, Dorset, England
Wajid Khan: Department of Computing, Faculty of Science and Technology, Bournemouth University, Dorset, England

Journal of Advances in Technology and Engineering Research, 2018, vol. 4, issue 6, 241-253

Abstract: The surging call for Small and Medium-sized Enterprises (SMEs) in the private transportation domain to apply data analytics in its business is evidential. However, to date, there is a lack of specific data mining methodology or framework customised to meet the demand of the private transportation domain. Considered as a de-facto data mining methodology by the industry to date, the Cross Industry Standard Process for Data Mining (CRISP-DM) consists of a six-phase process that is extendable in the framework – from generic to specialised tasks. The tra- ditional CRISP-DM methodology exemplifies the DM application area, issues identifications, technical, tools and technique requirements. Through this study, an Enhanced CRISP-DM for SME Coach Operator (ECSMCO) method- ology was developed. The extended methodology aims to curb the existing application limitation identified in the SMEs by proposing an enhancement to the existing CRISP-DM activities. To evaluate the novel ECSMCO’s accept- ability–three UK’s SME coach operators were identified to partake in the application and evaluation of the ECSMCO methodology. The outcome of this paper will ascertain the users’ acceptability outcome of the applied ECMSCO methodology.

Keywords: Data mining methodology; Private coach hires; Transportation; SMEs; Data mining application; CRISP-DM (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:apb:jaterr:2018:p:241-253

DOI: 10.20474/jater-4.6.5

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