Zobrazeno 1 - 10
of 46
pro vyhledávání: '"B. Vishnuvardhan"'
Autor:
V Venkataramana, S Sathesh Kumar, B Vishnuvardhan Reddy, A Sreekanth Cherukuri, K Raja Sigamani, G Chandrasekhar
Publikováno v:
Journal of Pharmacy and Bioallied Sciences, Vol 6, Iss 5, Pp 165-170 (2014)
Introduction: Bisphosphonate (Bp)-ibandronate is a pharmacological agent, exhibits antiosteoclastic or antiresorptive activity and used to treat osteolytic or osteopenic disorders. BP-ibandronate may also interfere during orthodontic tooth movement.
Externí odkaz:
https://doaj.org/article/a7835a7910d24119824999fc17523eca
SMS banking is a specific term for getting the details of a user account using short codes as SMS. The SMS banking is a sort of mobile banking. It is usually combined with bank computers and smart communications systems. Providers of SMS banking soft
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc161d5db0225de3bef3d232935bebdc
Autor:
D. Lakshmi Padmaja, B. Vishnuvardhan
Publikováno v:
Data & Knowledge Engineering. 117:174-182
Random Subset Feature Selection (RSFS) is Feature Subset Selection (FSS) algorithm based on the random forest technique. This algorithm is useful for selecting relevant features from large datasets resulting from scientific experiments. The random se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43208d1c23baf923fd7f0321d5965e3a
https://doi.org/10.1016/j.datak.2018.07.008
https://doi.org/10.1016/j.datak.2018.07.008
Autor:
B. Vishnuvardhan, Lakshmipadmaja D
Publikováno v:
Big Data Research. 12:1-12
This study focuses on feature subset selection from high dimensionality databases and presents modification to the existing Random Subset Feature Selection (RSFS) algorithm for the random selection of feature subsets and for improving stability. A st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b46f9d2dc13e7ee633df9cb6fcf597e
https://doi.org/10.1016/j.bdr.2018.02.007
https://doi.org/10.1016/j.bdr.2018.02.007
Autor:
B. Vishnuvardhan, Lakshmi Padmaja D
Publikováno v:
International Journal of Data Mining & Knowledge Management Process. 7:33-41
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::519622b2070d1e8c71abe6f3e04d6fb3
https://doi.org/10.5121/ijdkp.2017.7403
https://doi.org/10.5121/ijdkp.2017.7403
Publikováno v:
International Journal of Advanced Research in Computer Science. 9:317-319
Feature selection has been the focus of interest in the recent past. Large data sets are collected from scientific experiments and many times features are out numbered the observations.This demands for new approaches to minimize the data set without
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1d15d6a6413068a7bf5ff89ca10b826
https://doi.org/10.26483/ijarcs.v9i2.5496
https://doi.org/10.26483/ijarcs.v9i2.5496
Autor:
B. Vishnuvardhan, D. Lakshmi Padmaja
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811333286
Irrelevant feature elimination, when used correctly, aids in enhancing the feature selection accuracy which is critical in dimensionality reduction task. The additional intelligence enhances the search for an optimal subset of features by reducing th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ddc8b36405fc86bad642dada53be720
https://doi.org/10.1007/978-981-13-3329-3_51
https://doi.org/10.1007/978-981-13-3329-3_51
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811333286
Large software products require high effort to maintain the code base. Most of the time managers face challenging situations for efficient allocation of resources. In this paper, we proposed a novel approach to aid the software engineering managers t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::905c6f2fb0a83bb5f4db791c8e5df7ad
https://doi.org/10.1007/978-981-13-3329-3_52
https://doi.org/10.1007/978-981-13-3329-3_52
Publikováno v:
Cognitive Informatics and Soft Computing ISBN: 9789811306167
Sentiment Analysis gathered huge attention in recent years. In this field, sentiments are analyzed and aggregated from the text. There are certain relevant sub-areas in research. This survey mainly concentrates on aspect-level (product feature) senti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8edf954b1d4be2737c5c28e3618c131
https://doi.org/10.1007/978-981-13-0617-4_6
https://doi.org/10.1007/978-981-13-0617-4_6
Publikováno v:
2017 Intelligent Systems Conference (IntelliSys).
Software engineering processes are hard to understand, and related tasks frequently produce lot of information which can be used for development of strategy for future Projects. In the last decade, a large number of software data sets have been creat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ba4c85e1d81a85a695731cf180f7dad
https://doi.org/10.1109/intellisys.2017.8324320
https://doi.org/10.1109/intellisys.2017.8324320