Volume 8 Issue 2 - March 2017

  • 1. Prototype for policy recommendation system based on aadhar data

    Authors : G.shanti, Chandrika Telugu

    Pages : 433-438

    DOI : http://dx.doi.org/10.21172/1.82.058

    Keywords : Big Data, Hive, Hadoop, Thrift, Aadhar, Ambari

    Abstract :

    The project carried is in the field of Big data analytics related to computer science. Data analytics is the process of examining data sets in order to draw conclusions about the information they contain. Big data analytics refers to the techniques that can be used for converting raw data into meaningful information which helps in business analysis and forms a decision support system for the executives in the organization. Big data is the large and complex collection of data that cannot be processed using traditional tools. In this proposed work, web application is designed to help government and people to gain knowledge about the government policies and count of people using policies. Citizens will know about the policies they are eligible for with existing policies. Government will know the count of people who are using policies. To implement this project, we are using Hadoop. Common masses can be benefited by the various governmental policies and they can proceed to recommended policies.

    Citing this Journal Article :

    G.shanti, Chandrika Telugu, "Prototype for policy recommendation system based on aadhar data", https://www.ijltet.org/journal_details.php?id=911&j_id=3713, Volume 8 Issue 2 - March 2017, 433-438, #ijltetorg