Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Lekha R. Nair"'
Publikováno v:
Je-LKS: Journal of E-Learning and Knowledge Society, Vol 12, Iss 4 (2016)
Big Data from innumerable sources offers immense prospects for intelligent decision making in every single field, in spite of its challenging factors like huge volume, extreme variety or varying velocity. Big Data analytics can provide new perception
Externí odkaz:
https://doaj.org/article/3d79e049a4584800bbd99708e8423430
Autor:
Lekha R Nair
Publikováno v:
Multimedia Tools and Applications. 79:15319-15328
Researchers are trying to tap the immense potential of big data to revolutionize all aspects of societal activity and to assist in having well informed decisions. Healthcare being one such field where proper analytics of available big medical data ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36a1774b222c8b04a667094c649edd42
https://doi.org/10.1007/s11042-018-7114-y
https://doi.org/10.1007/s11042-018-7114-y
Publikováno v:
Computers & Electrical Engineering. 65:393-399
Machine learning is one of the driving forces of science and commerce, but the proliferation of Big Data demands paradigm shifts from traditional methods in the application of machine learning techniques on this voluminous data having varying velocit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b1b9f72ff610e898d58b79fdd8cc5e5
https://doi.org/10.1016/j.compeleceng.2017.03.009
https://doi.org/10.1016/j.compeleceng.2017.03.009
Publikováno v:
2017 International Conference on Networks & Advances in Computational Technologies (NetACT).
Rapid growing of multimedia processing technologies enables many creative and powerful new applications. Due to the availability of multimedia reconstruction and editing tools, multimedia authentication gained a considerable attention. Some authentic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd16adc31bd2de77c80de45551ad4f2f
https://doi.org/10.1109/netact.2017.8076801
https://doi.org/10.1109/netact.2017.8076801
Big Data constituting from the information shared in the various social network sites have great relevance for research to be applied in diverse fields like marketing, politics, health or disaster management. Social network sites like Facebook and Tw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ca8b6d62c62968acdd3fcf788738c4b
https://zenodo.org/record/4062659
https://zenodo.org/record/4062659
Autor:
Lekha R. Nair, Sujala D. Shetty
Publikováno v:
International Journal of Computer Applications. 108:19-23
Big Data Analytics has been gaining much focus of attention lately as researchers from industry and academia are trying to effectively extract and employ all possible knowledge from the overwhelming amount of data generated and received. Traditional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bec5f3e8cfe62bf2dd3a035da6c9cf58
https://doi.org/10.5120/18980-0407
https://doi.org/10.5120/18980-0407
Publikováno v:
Indian Journal of Orthopaedics
Indian Journal of Orthopaedics, Vol 47, Iss 6, Pp 639-642 (2013)
Indian Journal of Orthopaedics, Vol 47, Iss 6, Pp 639-642 (2013)
Disseminated histoplasmosis is a relentlessly progressive granulomatous disease which can mimic many other granulomatous diseases including tuberculosis. A 48-year-old male was referred to us with 11 months history of multiple subcutaneous swellings
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbb2c4e797f3f4a59d0b73aec1791101
https://doi.org/10.4103/0019-5413.121601
https://doi.org/10.4103/0019-5413.121601
Publikováno v:
DASC/PiCom/DataCom/CyberSciTech
Visualization of geographic data finds enormous applications in location finding, disaster management, resource allocation, mobility pattern detection etc. In this Big Data era, location information is embedded in most of the available data. While ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd013d8770f38902ce7d3b65d17bbefb
https://doi.org/10.1109/dasc-picom-datacom-cyberscitec.2016.152
https://doi.org/10.1109/dasc-picom-datacom-cyberscitec.2016.152