The use of data mining for strategic management: A case study on mining association rules in student information system Upotreba rudarenja podataka u strateškom menadžmentu: Analiza slučaja upotrebe pravila pridruživanja rudarenja podataka u informacijskom sustavu podataka o studentima


Onan A., Bal V., Bayam B. Y.

Croatian Journal of Education, cilt.18, sa.1, ss.41-70, 2016 (SSCI, Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 18 Sayı: 1
  • Basım Tarihi: 2016
  • Doi Numarası: 10.15516/cje.v18i1.1471
  • Dergi Adı: Croatian Journal of Education
  • Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus
  • Sayfa Sayıları: ss.41-70
  • Anahtar Kelimeler: Business intelligence, Data mining, Educational data, Knowledge discovery
  • Manisa Celal Bayar Üniversitesi Adresli: Evet

Özet

In today’s competitive conditions changes in business environment and business structures make strategic management an effective form of management for business and organizations. Strategic management is a current management strategy that requires setting of the appropriate strategies, plans and applications and putting them into action in order to reach the aims and goals of organizations. The process of strategic management involves setting the company’s vision, mission and objectives, determining the competitive position, and the evaluation of results obtained by strategy selection, development and application. In the application of activities related to the strategic management of business processes, the discipline of data mining, which can be defined as the process of extracting useful and meaningful patterns from large volumes of data, emerges as a viable method. In this study, strategic management and data mining disciplines and their basic concepts and applications are introduced. Apart from that, data mining methods in the context of strategic management are taken into consideration. In addition, a sample case study about the use of association rule mining algorithms in student information systems data will be presented.