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Project Platform : JAVA GRAPHS
Languages Used : JAVA
Project Cost : 4000
Introduction:
• Shopping centers are an interesting topic for knowledge management – relying on interdependency between owner, retailers and shoppers.
• Manager of shopping malls would like to learn more about buying habits of customers, on a given trip to the store.
• As an answer to the managers question market basket analysis which help to design different store layouts.
• There is a need to find ways to automatically analyze the data, classify it, summarize it, discover and characterize trends.
• Improving shopper satisfaction can lead to changes in population, expenditure, residence patterns and bring new life to run-down areas.
• This project considers the possibilities for shopping centers to make their offer more attractive using techniques of data mining.
Objective of the System:
• To create a shopping mall this sells products of various categories in different areas of the city.
• To apply the basic Association Rules-Apriori algorithm for implementation of Web Usage mining process to producing usage
• To analyze the outputs usage patterns and user behaviours for buying patterns from the Usage Mining implementation process.
Scope of the System:
• Research Organization: Some shopping Mall (Ex. BIG BAZAR).
• Focus of Project: Extract the customer buying patterns of different products within a period,reprocessing the set of raw data, select the data that contribute for pattern analysis, implement the pattern mining using basic Association algorithm, in order to produce the final results(rules).
System Design:
Requirements Specification:
Software Requirements
Operating System: Windows XP.
JCreator.
Access.
Hardware Requirements
Minimum Intel Pentium IV or above.
Minimum 1GB RAM.
Minimum 20GB Hard disk.
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