International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064




Downloads: 131

Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 4, April 2015


DM with Big Data and Cluster Based-Collaborative Filtering

Gaurav W. Jamunpane | Komal N. Chouragade [3]


Abstract: Big data deals with large volume of complex growing data set with multiple autonomous sources. With the growing technologies, data storage and data collection capacity goes increases day-by-day, big data are now rapidly expanding in all fields. It tends to increase services on internet. So, the service relevant data become too vast to process by traditional approaches. In the view of these challenges, this survey paper presents HACE theorem, which characterize big data features and Collaborative filtering techniques used in recommender systems. Recommender system is an application deals with information overloaded, used to recommend items to the user.


Keywords: Big data, clustering, collaborative filtering, recommender system, HACE


Edition: Volume 4 Issue 4, April 2015,


Pages: 462 - 465

DM with Big Data and Cluster Based-Collaborative Filtering


How to Cite this Article?

Gaurav W. Jamunpane, Komal N. Chouragade, "DM with Big Data and Cluster Based-Collaborative Filtering", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SUB152922, Volume 4 Issue 4, April 2015, 462 - 465, #ijsrnet

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