publication . Other literature type . Article . 2018

Big data analytics—A review of data‐mining models for small and medium enterprises in the transportation sector

Wajid Khan; Manoharan Ramachandran; Reza Sahandi; Siti Aishah Mohd Selamat; Simant Prakoonwit;
Open Access
  • Published: 01 May 2018
  • Publisher: Wiley
  • Country: United Kingdom
Abstract
The need for small and medium enterprises (SMEs) to adopt data analytics has reached a critical point, given the surge of data implied by the advancement of technology. Despite data mining (DM) being widely used in the transportation sector, it is staggering to note that there are minimal research case studies being done on the application of DM by SMEs, specifically in the transportation sector. From the extensive review conducted, the three most common DM models used by large enterprises in the transportation sector are identified, namely “Knowledge Discovery in Database,” “Sample, Explore, Modify, Model and Assess” (SEMMA), and “CRoss Industry Standard Proces...
Subjects
free text keywords: General Computer Science, Small and medium-sized enterprises, Knowledge extraction, Big data, business.industry, business, Data mining, computer.software_genre, computer, Cross Industry Standard Process for Data Mining, Data analysis, De facto, SEMMA, Computer science
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