Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 701637

Data Mining Applications Framework for Business Organizations: Business Functions Approach


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 ; 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. (ur.).
Honolulu, Hawaii, USA, 2014. str. 119-126 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 701637 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Data Mining Applications Framework for Business Organizations: Business Functions Approach

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

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
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. - , 2014, 119-126

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

Mjesto i datum
Honolulu, Hawaii, USA, 29.05.-01.06.2014

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

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

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Ustanove
Ekonomski fakultet, Zagreb

Profili:

Avatar Url Katarina Ćurko (autor)

Avatar Url Jovana Zoroja (autor)

Avatar Url Mirjana Pejić Bach (autor)

Citiraj ovu publikaciju

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 ; 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. (ur.).
Honolulu, Hawaii, USA, 2014. str. 119-126 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Zoroja, J., Pejic Bach, M. & Ćurko, K. (2014) Data Mining Applications Framework for Business Organizations: Business Functions Approach. U: Tubbs, S., Scannell, N., Demirdjian, Z., Guo, K., Arbogast, G., Ng, L., Pinar, M., Steinbuch, P., Santora, J., Ozenbas, D., Flint, D., Schultz, M., Parks, R., Maniam, B., Wright, D., Rapp, W., Werner, M., Fuller, J., Locke, S., Hanagriff, R. & Senguder, T. (ur.)The Business Review, Cambridge.
@article{article, year = {2014}, pages = {119-126}, keywords = {data mining techniques, business organizations, review, data mining applications}, title = {Data Mining Applications Framework for Business Organizations: Business Functions Approach}, keyword = {data mining techniques, business organizations, review, data mining applications}, publisherplace = {Honolulu, Hawaii, USA} }




Contrast
Increase Font
Decrease Font
Dyslexic Font