V
Vasudha Bhatnagar
Researcher at Dept. of Computer Science, University of Delhi
Publications - 72
Citations - 1313
Vasudha Bhatnagar is an academic researcher from Dept. of Computer Science, University of Delhi. The author has contributed to research in topics: Cluster analysis & Association rule learning. The author has an hindex of 16, co-authored 70 publications receiving 1022 citations. Previous affiliations of Vasudha Bhatnagar include University of Delhi & South Asian University.
Papers
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BookDOI
Big Data Analytics
TL;DR: The latest disruptive trends and developments in digital age comprise social networking, mobility, analytics and cloud, popularly known as SMAC, which saw Big Data Technologies being leveraged to power business intelligence applications in 2016.
Journal ArticleDOI
Results from the Supernova Photometric Classification Challenge
Richard Kessler,Bruce A. Bassett,Bruce A. Bassett,Pavel A. Belov,Vasudha Bhatnagar,Heather Campbell,A. Conley,Joshua A. Frieman,Joshua A. Frieman,Alexandre Glazov,Santiago González-Gaitán,Renée Hlozek,Saurabh Jha,S. E. Kuhlmann,Martin Kunz,Hubert Lampeitl,Ashish Mahabal,James Newling,Robert C. Nichol,David Parkinson,Ninan Sajeeth Philip,Dovi Poznanski,Dovi Poznanski,Joseph W. Richards,Steven A. Rodney,Masao Sako,Donald P. Schneider,Mathew Smith,Maximilian Stritzinger,Maximilian Stritzinger,Maximilian Stritzinger,Melvin Varughese +31 more
TL;DR: The Supernova Photometric Classification Challenge (SNPhotCC) as mentioned in this paper was the first challenge for the classification of simulated supernovae (SNe), with types (Ia, Ibc and II) selected in proportion to their expected rates.
Journal ArticleDOI
An overview of the commercial cloud monitoring tools: research dimensions, design issues, and state-of-the-art
Khalid Alhamazani,Rajiv Ranjan,Karan Mitra,Fethi A. Rabhi,Prem Prakash Jayaraman,Samee U. Khan,Adnene Guabtni,Vasudha Bhatnagar +7 more
TL;DR: In this article, the authors identify and discuss the major research dimensions and design issues related to engineering cloud monitoring tools and further discuss how the aforementioned research dimensions are handled by current academic research as well as by commercial monitoring tools.
Book ChapterDOI
K-means Clustering Algorithm for Categorical Attributes
TL;DR: The quality of clusters produced depends on the initialization of clusters and the order in which the algorithm is based on the K-means philosophy but removes the numeric data limitation.
Journal ArticleDOI
The impact of data mining techniques on medical diagnostics
TL;DR: The impact of data mining techniques, including artificial neural networks, on medical diagnostics is examined and a few areas of healthcare where these techniques can be applied to healthcare databases for knowledge discovery are identified.