Big Data Bigdata 2018

Author : Francis Y. L. Chin
Publisher : Springer
ISBN 13 : 3319943014
Total Pages : 387 pages
Book Rating : 4.15/5 ( download)

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Download or read book Big Data – BigData 2018 written by Francis Y. L. Chin and published by Springer. This book was released on 2018-06-20 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the proceedings of the 7th International Conference on BIGDATA 2018, held as Part of SCF 2018 in Seattle, WA, USA in June 2018. The 22 full papers together with 10 short papers published in this volume were carefully reviewed and selected from 97 submissions. They are organized in topical sections such as Data analysis, data as a service, services computing, data conversion, data storage, data centers, dataflow architectures, data compression, data exchange, data modeling, databases, and data management.

Author : S. Srinivasan
Publisher : Springer
ISBN 13 : 3319538179
Total Pages : 567 pages
Book Rating : 4.74/5 ( download)

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Download or read book Guide to Big Data Applications written by S. Srinivasan and published by Springer. This book was released on 2017-05-25 with total page 567 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and experience. This book is intended to help spur further innovation in big data. The research is presented in a way that allows readers, regardless of their field of study, to learn from how applications have proven successful and how similar applications could be used in their own field. Contributions stem from researchers in fields such as physics, biology, energy, healthcare, and business. The contributors also discuss important topics such as fraud detection, privacy implications, legal perspectives, and ethical handling of big data.

Author : Durgesh Kumar Mishra
Publisher : Springer
ISBN 13 : 9811076413
Total Pages : 406 pages
Book Rating : 4.11/5 ( download)

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Download or read book Data Science and Big Data Analytics written by Durgesh Kumar Mishra and published by Springer. This book was released on 2018-08-01 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents conjectural advances in big data analysis, machine learning and computational intelligence, as well as their potential applications in scientific computing. It discusses major issues pertaining to big data analysis using computational intelligence techniques, and the conjectural elements are supported by simulation and modelling applications to help address real-world problems. An extensive bibliography is provided at the end of each chapter. Further, the main content is supplemented by a wealth of figures, graphs, and tables, offering a valuable guide for researchers in the field of big data analytics and computational intelligence.

Author : Keke Chen
Publisher : Springer
ISBN 13 : 3030235513
Total Pages : 147 pages
Book Rating : 4.12/5 ( download)

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Download or read book Big Data – BigData 2019 written by Keke Chen and published by Springer. This book was released on 2019-06-19 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the proceedings of the 8th International Congress on BIGDATA 2019, held as Part of SCF 2019 in San Diego, CA, USA in June 2019. The 9 full papers presented in this volume were carefully reviewed and selected from 14 submissions. They cover topics such as: Big Data Models and Algorithms; Big Data Architectures; Big Data Management; Big Data Protection, Integrity and Privacy; Security Applications of Big Data; Big Data Search and Mining; Big Data for Enterprise, Government and Society.

Author : IEEE Staff
Publisher :
ISBN 13 : 9781538672334
Total Pages : pages
Book Rating : 4.32/5 ( download)

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Download or read book 2018 IEEE International Congress on Big Data (BigData Congress) written by IEEE Staff and published by . This book was released on 2018-07-02 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: ig Data Architecture, Big Data Modeling, Big Data As A Service, Big Data for Vertical Industries (Government, Healthcare, etc ), Big Data Analytics, Big Data Toolkits, Big Data Open Platforms, Economic Analysis, Big Data for Enterprise Transformation, Big Data in Business Performance Management, Big Data for Business Model Innovations and Analytics, Big Data in Enterprise Management Models and Practices, Big Data in Government Management Models and Practices, and Big Data in Smart Planet Solutions

Author : Carlos Ordonez
Publisher : Springer
ISBN 13 : 3319985396
Total Pages : 401 pages
Book Rating : 4.98/5 ( download)

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Download or read book Big Data Analytics and Knowledge Discovery written by Carlos Ordonez and published by Springer. This book was released on 2018-08-20 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 20th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2018, held in Regensburg, Germany, in September 2018. The 13 revised full papers and 17 short papers presented were carefully reviewed and selected from 76 submissions. The papers are organized in the following topical sections: Graph analytics; case studies; classification and clustering; pre-processing; sequences; cloud and database systems; and data mining.

Author : Anirban Mondal
Publisher : Springer
ISBN 13 : 3030047806
Total Pages : 429 pages
Book Rating : 4.01/5 ( download)

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Download or read book Big Data Analytics written by Anirban Mondal and published by Springer. This book was released on 2018-12-11 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Conference on Big Data analytics, BDA 2018, held in Warangal, India, in December 2018. The 29 papers presented in this volume were carefully reviewed and selected from 93 submissions. The papers are organized in topical sections named: big data analytics: vision and perspectives; financial data analytics and data streams; web and social media data; big data systems and frameworks; predictive analytics in healthcare and agricultural domains; and machine learning and pattern mining.

Author : Viktor Mayer-Schönberger
Publisher : Houghton Mifflin Harcourt
ISBN 13 : 0544002695
Total Pages : 257 pages
Book Rating : 4.92/5 ( download)

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Download or read book Big Data written by Viktor Mayer-Schönberger and published by Houghton Mifflin Harcourt. This book was released on 2013 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.

Author : John Storm Pedersen
Publisher : Edward Elgar Publishing
ISBN 13 : 1788112350
Total Pages : 416 pages
Book Rating : 4.52/5 ( download)

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Download or read book Big Data written by John Storm Pedersen and published by Edward Elgar Publishing. This book was released on 2019 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Promise, Application and Pitfalls

Author : Hrushikesha Mohanty
Publisher : Springer
ISBN 13 : 8132224949
Total Pages : 195 pages
Book Rating : 4.45/5 ( download)

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Download or read book Big Data written by Hrushikesha Mohanty and published by Springer. This book was released on 2015-06-29 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of chapters written by experts on various aspects of big data. The book aims to explain what big data is and how it is stored and used. The book starts from the fundamentals and builds up from there. It is intended to serve as a review of the state-of-the-practice in the field of big data handling. The traditional framework of relational databases can no longer provide appropriate solutions for handling big data and making it available and useful to users scattered around the globe. The study of big data covers a wide range of issues including management of heterogeneous data, big data frameworks, change management, finding patterns in data usage and evolution, data as a service, service-generated data, service management, privacy and security. All of these aspects are touched upon in this book. It also discusses big data applications in different domains. The book will prove useful to students, researchers, and practicing database and networking engineers.