Zobrazeno 1 - 10
of 19
pro vyhledávání: '"D. Renuka Devi"'
Autor:
D. Renuka Devi, S. Sasikala
Publikováno v:
Journal of Big Data, Vol 6, Iss 1, Pp 1-20 (2019)
Abstract Feature selection is mainly used to lessen the dispensation load of data mining models. To condense the time for processing voluminous data, parallel processing is carried out with MapReduce (MR) technique. However with the existing algorith
Externí odkaz:
https://doaj.org/article/951696f2b48e4227a7395de756f6f427
Autor:
D., Renuka Devi, S., Sasikala
Publikováno v:
International Journal of Web Information Systems, 2021, Vol. 17, Issue 6, pp. 714-727.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJWIS-05-2021-0056
Autor:
Aravind Prasad Baskaran, Arun Prasad Baskaran, Arturo Conde, D. Renuka Devi, S. Rama Devi, Jorge Chan González, S.B. Gopal, Ramya Gunasekaran, Iswarya Gururajan, V. Jayalakshmi, Manjushree Kumari Jayaraman, P.S. Latha Kalyampudi, D. Karthika, Rashmita Khilar, R. Senthil Kumar, D. Nanthiya, Lakshmi Kanthan Narayanan, Kayal Padmanandam, P. Pandiyan, V. Pavithra, C. Poongodi, Hema Ramachandran, Nagarajan Ramalingam, R. Rengaraj Alias Muralidharan, S.A. Sahaaya Arul Mary, N. Sai Charitha, Ranjani Sampathkumar, S. Saravanan, Meng Yen Shih, Venkatasubramanian Srinivasan, Priyanga Subbiah, Kannadhasan Suriyan, Subetha Thangaraj, Ramji Tiwari, Punitha Victor, Rajeswari Viswanathan, Francisco Lezama Zárraga
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86680c9e6539e4f233fdd5ff6a2a6b24
https://doi.org/10.1016/b978-0-323-91664-6.00017-6
https://doi.org/10.1016/b978-0-323-91664-6.00017-6
Publikováno v:
Proceedings of the Third International Conference on Information Management and Machine Intelligence ISBN: 9789811920646
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e4c947cd141633494397991a7ae0782
https://doi.org/10.1007/978-981-19-2065-3_4
https://doi.org/10.1007/978-981-19-2065-3_4
Autor:
S. Sasikala, D. Renuka Devi
Artificial intelligence (AI) is the recreation of the anthropological intelligence mechanism by machines and specific intelligence systems. These headways contain erudition, perceptive considerations and self-rectification. Some practices of AI inclu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::636f2ef879a9e96fc3c0dc0581cffc3b
https://doi.org/10.1201/9781003045564-21
https://doi.org/10.1201/9781003045564-21
This new volume addresses the growing interest in and use of big data analytics in many industries and in many research fields around the globe; it is a comprehensive resource on the core concepts of big data analytics and the tools, techniques, and
Autor:
D. Renuka Devi, S. Sasikala
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030304645
The Feature selection (FS) plays an imperative role in Machine Learning (ML) but it is really demanding when we apply feature selection to voluminous data. The conventional FS methods are not competent in handling big datasets. This leads to the need
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a085ee0b4a96cd210c4d569ed5f9f2f0
https://doi.org/10.1007/978-3-030-30465-2_73
https://doi.org/10.1007/978-3-030-30465-2_73
Autor:
S. Sasikala, D. Renuka Devi
Publikováno v:
2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS).
With the increase in recent development in hardware and software technologies, streaming data is used everywhere in today's environment and it is a very difficult task to store, process, investigate and visualize huge volumes of data. One of the most