Zobrazeno 1 - 6
of 6
pro vyhledávání: '"N. P. Nethravathi"'
Autor:
Manjunath Varchagall, N. P. Nethravathi, R. Chandramma, N. Nagashree, Sudhanva Manjunath Athreya
Publikováno v:
SN Computer Science. 4
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04349db9396abfca3202ff7289a890ea
https://doi.org/10.1007/s42979-022-01587-y
https://doi.org/10.1007/s42979-022-01587-y
Autor:
P. Deepa Shenoy, Prasanth G. Rao, N. P. Nethravathi, K R Venugopal, M. Indiramma, Chaitra C. Vaidya
Publikováno v:
International Journal of Computer Applications. 157:1-7
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e5ccb352c0271eb5b76456ed2c87566
https://doi.org/10.5120/ijca2017912353
https://doi.org/10.5120/ijca2017912353
Publikováno v:
Proceedings of the 5th International Conference on Information and Education Technology.
Privacy preservation is an important branch of Data Mining which handles hiding of an individual's sensitive data without affecting the data usability. This paper proposes a new technique to provide privacy preservation of sensitive data based on the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6c6a42730216f05738fe67b0fc132fc
https://doi.org/10.1145/3029387.3029414
https://doi.org/10.1145/3029387.3029414
Autor:
P. Madhura, K. R. Venugopal, S. Geethanjali, M. Indiramma, Prasanth G. Rao, K. Neha Nandan, P. Deepa Shenoy, Chaitra C. Vaidya, N. P. Nethravathi
Publikováno v:
Indian Journal of Science and Technology. 9
Objectives: Preservation of privacy is a significant aspect of data mining. The main objective of PPDM is to hide or provide privacy to certain sensitive information so that they can be protected from unauthorized parties or intruders. Methods/ Stati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ff324a3af1434ea6669490ba88c1f1e
https://doi.org/10.17485/ijst/2016/v9i47/107360
https://doi.org/10.17485/ijst/2016/v9i47/107360
Autor:
K. R. Venugopal, Prasanth G. Rao, N. P. Nethravathi, Vaibhav J. Desai, M. Indiramma, P. Deepa Shenoy
Publikováno v:
2016 International Conference on Data Science and Engineering (ICDSE).
Privacy Preserving in Data Mining is a very important area which deals with hiding an individual's sensitive data without affecting the usability of data. In this paper, we put forward a technique to provide privacy preservation of sensitive data bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::122c46216af93f4e1366ff4dee169fb7
https://doi.org/10.1109/icdse.2016.7823968
https://doi.org/10.1109/icdse.2016.7823968
Publikováno v:
2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE).
Mining useful knowledge from corpus of data has become an important application in many fields. Data mining algorithms like clustering, classification work on this data and provide crisp information for analysis. As these data are available through v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c35663dde3414a24fa1850d3e3c0ec1
https://doi.org/10.1109/wiecon-ece.2015.7443894
https://doi.org/10.1109/wiecon-ece.2015.7443894