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  1. University of Computer Studies, Yangon
  2. Conferences

Analysis of Customer Buying Behavior using Equivalence Class Transformation (ECLAT)

http://hdl.handle.net/20.500.12678/0000005069
a4fc6122-5c44-4b31-9679-0ebe9044f46f
499645d4-2ea8-43c5-bc3c-b06c68642ba4
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63_PDFsam_PSC_final 63_PDFsam_PSC_final proof.pdf (137 Kb)
Publication type Article
Upload type Publication
Title
Analysis of Customer Buying Behavior using Equivalence Class Transformation (ECLAT)
en
Publication date 2017-12-27
Authors
Ei, Htet Htet
Lwin, Wai Wai
Description
Many organizations are being interested inmining association rules from business recordsbecause they desire to promotethe benefit fromlarge amount of data that are continuously storedin databases. Discovery of frequent itemsetsthrough transactional records can support veryuseful idea and advice in business decisionmaking processes. Mining association rules fromtransactions is important in business calledmarket basket analysis. It helps the administrativelevel for making effective decisions.This system isintended to develop for analyzing the correlationof different items that are frequently buyingtogether in a grocery store. Equivalence ClassTransformation (ECLAT) is one of the bestalgorithms to identify which products arefrequently bought together.Such sets of associatedproducts can be used to optimize the offeredproducts on the displayed stands.Therefore, thissystem can give guide lines with valuable advicesto managers who are managing the arrangementof the items in grocery store.
Journal articles
Eighth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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