Greedy Based Privacy Preserving in Data Mining using NoSQL

  Nancy Bhardwah,  Gurvinder Kaur

Database management system (DBMS) has been an integral part of the development of internet and other large scale systems. Databases of a size that have never existed before emerged, and systems that can support such databases had to be developed. As in a context management platform the number of context publications always keeps rising, further data partitioning schemes will also be researched, to better handle the always-increasing data load. The NoSQL ecosystem, unlike relational databases, is headed towards specialization, so different solutions are headed in different directions, leaving the door open for new players to emerge, and making the ecosystem an exciting and ever-evolving field. Retrieving an Item in NoSql on a 1000KB Item database takes on average over 35 ms as compare to that of 50 KB in 30 ns.

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Unique Identification Number - IJEDR1701002
Page Number(s) - 9-17
Pubished in - Volume 5 | Issue 1 | January 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Nancy Bhardwah,  Gurvinder Kaur,   "Greedy Based Privacy Preserving in Data Mining using NoSQL", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 1, pp.9-17, January 2017, Available at :http://www.ijedr.org/papers/IJEDR1701002.pdf