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 
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
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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