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Data Mining Applications Framework for Business Organizations: Business Functions Approach (CROSBI ID 611985)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Zoroja, Jovana ; Pejic Bach, Mirjana ; Ćurko, Katarina Data Mining Applications Framework for Business Organizations: Business Functions Approach // The Business Review, Cambridge / Tubbs, Stewart L. ; Scannell, N. ; Demirdjian, Z.S et al. (ur.). 2014. str. 119-126

Podaci o odgovornosti

Zoroja, Jovana ; Pejic Bach, Mirjana ; Ćurko, Katarina

engleski

Data Mining Applications Framework for Business Organizations: Business Functions Approach

High growth of data in databases created a need for technologies which can extract and uncover the hidden information in large amount of data which can be useful in decision making in business organizations. Data mining is a technology that could solve this problem with approach combining machine learning, statistics and database management that are used for finding useful and valid patterns in data. The goal of this paper is to present a review of published data mining applications in business organizations across business functions. Papers from the journals indexed in Web of Science that investigate data mining applications in business organizations were examined in order to compare the research on data mining applications in terms of: (1) journal, (2) title of the paper, (3) data collection approach, (4) methodology used for investigation of data mining applications and (5) keywords. We investigated 25 papers divided into five categories: finance, human resources, transport, marketing and sales and services. We found research papers for each mentioned category. By random choice method we have selected several research papers for each category in order to compare data mining applications, methods and data used in business organizations.

data mining techniques; business organizations; review; data mining applications

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Podaci o prilogu

119-126.

2014.

objavljeno

Podaci o matičnoj publikaciji

The Business Review, Cambridge

Tubbs, Stewart L. ; Scannell, N. ; Demirdjian, Z.S ; Guo, K.L. ; Arbogast, G.W. ; Ng, L. ; Pinar, M. ; Steinbuch, P. ; Santora, J.C. ; Ozenbas, D. ; Flint, D. ; Schultz, M.C. ; Parks, R.H. ; Maniam, B. ; Wright, D. ; Rapp, W.V. ; Werner, M. ; Fuller, J.A. ; Locke, S. ; Hanagriff, R.D. ; Senguder, T.

Podaci o skupu

The Economics, Finance, Accounting & Management Research Conference, Hawaii

predavanje

29.05.2014-01.06.2014

Honolulu (HI), Sjedinjene Američke Države

Povezanost rada

Ekonomija, Informacijske i komunikacijske znanosti