A Report of the Privacy in Data Mining: Speakers Survey
Ramana Bonathu1, Devaki2, K. Ramalinga Reddy3, Dhasaratham Meghavath4, G. Vijaya5
1Dr. Ramana Bonathu, Professor, HOD, Department of CSE ,Vidya Vikas Institute of technology ,hyderabad, India.
2Devaki, Lecturer, Department of CSE, Singareni Colleries Women’s Degree &PG college., India.
3K.Ramalinga Reddy, Assistant Professor, Department of CSE, A.M.Reddy college of Engineering, India.
4Dhasaratham Meghavath, Lecturer in CSE Department Bule Hora University, India.
5G.Vijaya, Lecturer in CSE, Department of CSE, Singareni Colleries Women’s Degree & PG college, India.
Manuscript received on March 05, 2014. | Revised Manuscript received on March  11, 2014 . | Manuscript published on March 15, 2014. | PP: 4-6 | Volume-2 Issue-4, March 2014. | Retrieval Number: A0546122113/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: we study the data mining understand the need for analyses of large, complex, information rich data sets. Privacy is mining of distributed data has numerous applications. The privacy preserving data mining has been developed, understanding the role of privacy in data mining is difficult. Many algorithms and approaches that have been developed theoretically, but practically it is difficult. In this paper specify the overview the privacy preserving in data mining. This paper mainly focuses on the literature survey of the data mining privacy. Here many speakers tell to their own ideas, these ideas to develop new standards and privacy algorithms in data mining.
Keywords: Data mining, Data privacy ,privacy preserving.