ANALYSIS OF BANKING UNSTRUCTURED DATA WITH DATA MINING TECHNIQUE & BIG DATA IMPLEMENTATION OF HADOOP TECHNOLOGY ARCHITECTURE

In the EXITING SYSTEM, Data Mining Technique is implementable, but Big Data Concept is Emerging. Data Mining can process only Structured Data only. In the PROPOSED SYSTEM, Big Data Approach is spoken all over the Paper. They insist of Three Tier Architecture, 1. Big Data implementation in Multi System Approach, 2. Application Deployment - Banking / Insurance., 3. Extraction of Useful information from Unstructured Data. In the MODIFICATION Part of the Project, we implement this Project for Banking Domain. There will be Two Major Departments. 1. Bank Server for Adding New Clients and maintaining their Accounts. Every User while Registration has to provide their ID Proof to create Account in any Bank. 2. Accounts Monitoring Sever will monitor every users and their Account Status in different Banks. This Server will retrieve users who maintain & Transact more than Rs. 50,000 / Annum in all 3 Accounts in different Banks using the same ID Proof. Map & Reduce is achieved.

  • Project Category : IEEE Projects
  • Project Year : 2014-2015
  • Department
  • B.E(Computer Science) , B.E(Information Technology), BCA, MCA,
  • Domain
  • Data Mining,
  • Technology
  • J2EE, Java,
  • Avilable city
  • Chennai,

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AADHITYAA INFOMEDIA SOLUTIONS, T.NAGAR

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