big data and visual analytics

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big data and visual analytics

Sang c. SuhThomas Anthony EditorsBig Data and Visual AnalyticsSang c. Suh • Thomas AnthonyEditorsBig Data and Visual AnalyticsSpringerEditorsSang c. S

big data and visual analytics SuhDepartment of Computer ScienceTexas A&M University-CommerceCommerce. TX. USAThomas AnthonyDepartment of Electrical andComputer EngineeringThe Unive

rsity of Alabama at BirminghamBirmingham. AL. USAISBN 978-3-319-63915-4 ISBN 978-3-319-63917-8 (eBook) https://doi.org/! 0.1007/978-3-319-63917-8Libra big data and visual analytics

ry of Congress Control Number: 2017957724Ô Springer International Publishing AG 2017This work is subject to copyright. All rights are reserved by the

big data and visual analytics

Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitat

Sang c. SuhThomas Anthony EditorsBig Data and Visual AnalyticsSang c. Suh • Thomas AnthonyEditorsBig Data and Visual AnalyticsSpringerEditorsSang c. S

big data and visual analytics on, computer software, or by similar or dissimilar methodology now known or hereafter developed.The use of general descriptive names, registered names

, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the big data and visual analytics

relevant protective laws and regulations and therefore free for general use.The publisher, the authors and the editors arc safe to assume that the ad

big data and visual analytics

vice and information in this b(K»k arc believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the edito

Sang c. SuhThomas Anthony EditorsBig Data and Visual AnalyticsSang c. Suh • Thomas AnthonyEditorsBig Data and Visual AnalyticsSpringerEditorsSang c. S

big data and visual analytics lisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.Printed on acid-free paperThis Springer i

mprint is published by Springer NatureThe registered company is Springer International Publishing AGThe registered company address is; Gcwcrbcstrassc big data and visual analytics

11, 6330 Cham, SwitzerlandForewordThe editors of this book, an accomplished senior data scientist and systems engineer. Thomas Anthony, and an academi

big data and visual analytics

c leader. Dr. Sang Suh. with broad expertise from artificial intelligence to data analytics, constitute a perfect team to achieve the goal of compilin

Sang c. SuhThomas Anthony EditorsBig Data and Visual AnalyticsSang c. Suh • Thomas AnthonyEditorsBig Data and Visual AnalyticsSpringerEditorsSang c. S

big data and visual analytics trenches, such as Sang and Thomas. Big Data and associated analytics is a matter of serious business. 1 am honored to have been given the opportunity

to review their compiled volume and write a foreword to it.After reviewing the chapters. I realized that they have developed a comprehensive book for big data and visual analytics

data scientists and students by taking into account both theoretical and practical aspects of this critical and growing area of interest. The present

big data and visual analytics

ations are broad and deep as the need arise. In addition to covering all critical processes involving data science, they have uniquely provided very p

Sang c. SuhThomas Anthony EditorsBig Data and Visual AnalyticsSang c. Suh • Thomas AnthonyEditorsBig Data and Visual AnalyticsSpringerEditorsSang c. S

big data and visual analytics n is a unique contribution to this new and grow ing area and places this book at the top of the list of comparable books.The chapters covered are I. A

utomated Detection of Central Retinal Vein Occlusion Using Convolutional Neural Network, by “Bismita Choudhury. Patrick H. H. Then, and Valliappan Ram big data and visual analytics

an": 2. Swarm Intelligence Applied to Big Data Analytics for Rescue Operations with RASEN Sensor Networks, by “U. John Tanik. Yuehua Wang, and Serkan

big data and visual analytics

G. klal": 3. Gender Classification Based on Deep Learning, by “Dhiraj Gharana. Sang Suh. and Mingon Kang'’: 4. Social and Organizational Culture in Ko

Sang c. SuhThomas Anthony EditorsBig Data and Visual AnalyticsSang c. Suh • Thomas AnthonyEditorsBig Data and Visual AnalyticsSpringerEditorsSang c. S

big data and visual analytics listic Strategies in Big Data Adoption, by “Bhuvan Unhelkar": 6. Scalable Gene Sequence Analysis on Spark, by “Muthahar Syed. Jinoh Kim. and Taehyun H

wang"; 7. Big Sensor Data Acquisition and Archiving with Compression, by “Dongeun Lee": 8. Advanced High Performance Computing for Big Data Local Visu big data and visual analytics

al Meaning, “Ozgur Aksu"; 9. Transdisciplinary Benefits of Convergence in Big Data Analytics. “U. John Tanik and Darrell Fielder”: 10. A Big Data Anal

big data and visual analytics

ytics Approach in Medical Image Segmentation Using Deep ConvolutionalVVIForeword

Sang c. SuhThomas Anthony EditorsBig Data and Visual AnalyticsSang c. Suh • Thomas AnthonyEditorsBig Data and Visual AnalyticsSpringerEditorsSang c. S