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Title: Mining frequent movement path Sequences from RFID data streams
Researcher: Koppula srinivas rao
Guide(s): Chandran K R
Keywords: Retrieving frequent walking patterns
Upload Date: 6-Feb-2015
University: Anna University
Completed Date: 01/10/2014
Abstract: Understanding the customer s requirements and purchasing newlinebehaviour is becoming more and more important in retail as it may provide newlinevaluable information that can be used to improve customer s shopping newlineexperience and product sales Knowing about customers activities within the newlinestore can provide information for improving customer relationship newlinemanagement and including real time capabilities This research work presents newlinea scheme for mining frequent movement path sequences using shopping path newlinetracking and analysis system that uses RFID The collected data is used for newlinedetermining customer presence and movement through a store as well as time newlinespent in specific store segments newlineRetrieving frequent walking patterns of the customers among newlinedifferent locations in the large retail outlet reveals the most visited spots and newlinemovements of the customer This helps in identifying the purchase behaviour newlineof the customers Data mining techniques are used to discover all frequent newlinewalking patterns efficiently from cleaned RFID database The existing newlineapproaches are expensive in terms of time and memory usage The research newlinestudy proposed AFP Tree and ECIM Efficient Closed Item set Mining newlinealgorithms to discover the frequent walking patterns from RFID database newline newline
Pagination: xiii, 168p.
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File21.86 kBAdobe PDFView/Open
02_certificate.pdf553.05 kBAdobe PDFView/Open
03_abstract.pdf17.11 kBAdobe PDFView/Open
04_acknowledgement.pdf9.11 kBAdobe PDFView/Open
05_content.pdf30.3 kBAdobe PDFView/Open
06_chapter1.pdf229.53 kBAdobe PDFView/Open
07_chapter2.pdf236.4 kBAdobe PDFView/Open
08_chapter3.pdf848.88 kBAdobe PDFView/Open
09_chapter4.pdf711.36 kBAdobe PDFView/Open
10_chapter5.pdf847.36 kBAdobe PDFView/Open
11_chapter6.pdf33.75 kBAdobe PDFView/Open
12_reference.pdf288.73 kBAdobe PDFView/Open
13_publication.pdf26.12 kBAdobe PDFView/Open

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