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Pyne, Saumyadipta

Big Data Analytics

Pyne, Saumyadipta - Big Data Analytics, ebook

130,70€

Ebook, PDF with Adobe DRM
ISBN: 9788132236283
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Table of contents

1. Big Data Analytics: Views from Statistical and Computational Perspectives
Saumyadipta Pyne, B. L. S. Prakasa Rao, S. B. Rao

2. Massive Data Analysis: Tasks, Tools, Applications, and Challenges
Murali K. Pusala, Mohsen Amini Salehi, Jayasimha R. Katukuri, Ying Xie, Vijay Raghavan

3. Statistical Challenges with Big Data in Management Science
Arnab Laha

4. Application of Mixture Models to Large Datasets
Sharon X. Lee, Geoffrey McLachlan, Saumyadipta Pyne

5. An Efficient Partition-Repetition Approach in Clustering of Big Data
Bikram Karmakar, Indranil Mukhopadhayay

6. Online Graph Partitioning with an Affine Message Combining Cost Function
Xiang Chen, Jun Huan

7. Big Data Analytics Platforms for Real-Time Applications in IoT
Yogesh Simmhan, Srinath Perera

8. Complex Event Processing in Big Data Systems
Dinkar Sitaram, K. V. Subramaniam

9. Unwanted Traffic Identification in Large-Scale University Networks: A Case Study
Chittaranjan Hota, Pratik Narang, Jagan Mohan Reddy

10. Application-Level Benchmarking of Big Data Systems
Chaitanya Baru, Tilmann Rabl

11. Managing Large-Scale Standardized Electronic Health Records
Shivani Batra, Shelly Sachdeva

12. Microbiome Data Mining for Microbial Interactions and Relationships
Xingpeng Jiang, Xiaohua Hu

13. A Nonlinear Technique for Analysis of Big Data in Neuroscience
Koel Das, Zoran Nenadic

14. Big Data and Cancer Research
Binay Panda

Keywords: Statistics, Statistics and Computing/Statistics Programs, Statistics for Life Sciences, Medicine, Health Sciences, Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law, Statistics for Business/Economics/Mathematical Finance/Insurance, Data Mining and Knowledge Discovery, Applications of Mathematics

Editor
 
 
Publisher
Springer
Publication year
2016
Language
en
Edition
1
Category
Natural Sciences
Format
Ebook
eISBN (PDF)
9788132236283
Printed ISBN
978-81-322-3626-9

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