Big Data Analytics

Edited by Saumyadipta Pyne (), B.L.S. Prakasa Rao () and S.B. Rao ()

in Springer Books from Springer

Date: 2016
ISBN: 978-81-322-3628-3
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Chapters in this book:

Big Data Analytics: Views from Statistical and Computational Perspectives

Saumyadipta Pyne, B. L. S. Prakasa Rao and S. B. Rao

Massive Data Analysis: Tasks, Tools, Applications, and Challenges

Murali K. Pusala, Mohsen Amini Salehi, Jayasimha R. Katukuri, Ying Xie and Vijay Raghavan

Statistical Challenges with Big Data in Management Science

Arnab Laha

Application of Mixture Models to Large Datasets

Sharon X. Lee, Geoffrey McLachlan and Saumyadipta Pyne

An Efficient Partition-Repetition Approach in Clustering of Big Data

Bikram Karmakar and Indranil Mukhopadhayay

Online Graph Partitioning with an Affine Message Combining Cost Function

Xiang Chen and Jun Huan

Big Data Analytics Platforms for Real-Time Applications in IoT

Yogesh Simmhan and Srinath Perera

Complex Event Processing in Big Data Systems

Dinkar Sitaram and K. V. Subramaniam

Unwanted Traffic Identification in Large-Scale University Networks: A Case Study

Chittaranjan Hota, Pratik Narang and Jagan Mohan Reddy

Application-Level Benchmarking of Big Data Systems

Chaitanya Baru and Tilmann Rabl

Managing Large-Scale Standardized Electronic Health Records

Shivani Batra and Shelly Sachdeva

Microbiome Data Mining for Microbial Interactions and Relationships

Xingpeng Jiang and Xiaohua Hu

A Nonlinear Technique for Analysis of Big Data in Neuroscience

Koel Das and Zoran Nenadic

Big Data and Cancer Research

Binay Panda

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DOI: 10.1007/978-81-322-3628-3

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