INTELLIGENT FORECAST OF PRODUCT PURCHASE BASED ON USER BEHAVIOR & PURCHASE STRATEGIES USING BIG DATA

In the EXISTING SYSTEM, we all know Data Gathering Techniques are increased and Unstructured Data are plenty in availability, which could not be Processed by Data Mining. In the PROPOSED SYSTEM, Big Data Concept is utilised for Utility Mining of Purchase by the Users. User's interests of purchase of particular Products are monitored and Frequency Item set is extracted. Each node scan its local database and generates the frequent item sets using A-Priori algorithm then its corresponding gain value is computed. Based on this gain value, the high utility item sets are mined according to the user specified threshold send it to master node In the MODIFICATION part of this Project, Using Big data Concept we are Analysing follow up Purchas of the set of Products from the Date of Purchase of first Product. Purchase of the set of Products from the date of purchase of first product. Ex User 1 would have purchased Computer, then 2 to 3 months later same user would purchase Printer. Wed can also measure Expected purchase of the set of products from the first purchase.

  • Project Category : IEEE Projects
  • Project Year : 2014-2015
  • Department
  • B.E(Computer Science) ,
  • Domain
  • Data Mining,
  • Technology
  • .Net,
  • Avilable city
  • Chennai,

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AADHITYAA INFOMEDIA SOLUTIONS, T.NAGAR

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