Association rules and market baset analysis : a case study in retail sector
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Date
2016
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İstanbul Ticaret Üniversitesi
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info:eu-repo/semantics/openAccess
Abstract
Hızla gelişen teknoloji sayesinde marketler ve işletmeler verilerini kolayca saklayabilmektedirler. Gerçekleştirilen her işlem depolanarak veri setlerini oluşturmaktadır. Gittikçe büyüyen bu veri setlerinden yararlı bilgiler elde edilme si gerekmektedir. İşte bu aşamada veri madenciliği devreye girmektedir. Bu çalışmada, öncelikle veri madenciliğinin temelleri, aşamaları, kullanım alanları ve temel algoritma çeşitlerinden bahsedilmiştir. Daha sonra Veri Madenciliği modellerinden olan “Birliktelik Kuralları” algoritmaları üzerinde durulmuş, bu algoritmalar arasında bir değerlendirme yapılarak Apriori algoritması tercih edilmiştir. Son bölümde Türkiye’deki bir perakende satış mağazasının verileri ile Apriori algoritması kullanılarak Birliktelik Kuralı Analizi uygulanmış ve ürünler arasındaki ilişkiler ortaya çıkarılmıştır.
Thanks to the rapidly developing technology, companies and businesses can easily store their data. Storage of each transaction performed forms data sets. Useful informations has to be obtained from the steadily growing data sets. At this stage, data mining is of paramount importance. Firstly, in this study, the basics of data mining, its stages, application areas and types of basic algorithms are discussed. Secondly, a comprehensive review of "Association Rules" algorithms, as one of the main tools of data mining, is presented. Considering the strenghts and weaknesses of the presented algorithms, Apriori algorithm is preferred for application. Lastly, association rule analysis is applied using Apriori Algorithm on data of one of the retail chains in Turkey and relations between products are revealed. Furthermore, the implicaitons of the analysis are discussed in detail.
Thanks to the rapidly developing technology, companies and businesses can easily store their data. Storage of each transaction performed forms data sets. Useful informations has to be obtained from the steadily growing data sets. At this stage, data mining is of paramount importance. Firstly, in this study, the basics of data mining, its stages, application areas and types of basic algorithms are discussed. Secondly, a comprehensive review of "Association Rules" algorithms, as one of the main tools of data mining, is presented. Considering the strenghts and weaknesses of the presented algorithms, Apriori algorithm is preferred for application. Lastly, association rule analysis is applied using Apriori Algorithm on data of one of the retail chains in Turkey and relations between products are revealed. Furthermore, the implicaitons of the analysis are discussed in detail.
Description
Tez (Yüksek Lisans) -- İstanbul Ticaret Üniversitesi -- Kaynakça var.
Keywords
Veri madenciliği, Pazarlama_Veri işlem, İş_Veri işlem, Data mining, Marketing_Data processing, Business_Data processing
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Yazgan, Pınar. (2016). Association rules and market baset analysis : a case study in retail sector. (Yayımlanmamış yüksek lisans tezi). İstanbul Ticaret Üniversitesi, Fen Bilimleri Enstitüsü, Endüstri Mühendisliği, İstanbul
