DATA DRIVEN DECISION SUPPORT TO SUPERMARKET LAYOUT
Küçük Resim Yok
Tarih
2009
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
World Scientific And Engineering Acad And Soc
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Knowledge is the most valuable asset in today's dynamic business environment. In many organizations, decisions are made based on a combination of judgment and knowledge extracted from databases. Successful business organization to be able to react rapidly to the changing market demands both locally and globally, by utilizing the latest data mining techniques of extracting previously unknown and potentially useful knowledge from vast resources of raw data. We propose a methodological framework for the use of the knowledge discovery process to improve store layout. In this paper, we propose a data driven decision support for store layout and present an empirical study. This paper develops a relational database and uses Apriori algorithm and multidimensional scaling techniques as methodologies for the store layout issue. As the empirical study, a supermarket analysis has done for Migros Turk A.S, a leading Turkish retailing company.
Açıklama
8th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases -- FEB 21-23, 2009 -- Cambridge, ENGLAND
Anahtar Kelimeler
Data Mining, Decision Support Systems, Association Rules, Market Basket Analysis, Apriori Algorithm, Multidimensional Scaling Technique, Store Layout
Kaynak
Proceedings Of The 8th Wseas International Conference On Artificial Intelligence, Knowledge Engineering And Data Bases
WoS Q Değeri
N/A
