Big Data – BigData 2019

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Publisher : Springer
ISBN 13 : 3030235513
Total Pages : 147 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Big Data – BigData 2019 by : Keke Chen

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.

Proceedings of International Conference on Big Data, Machine Learning and Applications

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Publisher : Springer Nature
ISBN 13 : 9813347880
Total Pages : 268 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Proceedings of International Conference on Big Data, Machine Learning and Applications by : Ripon Patgiri

Download or read book Proceedings of International Conference on Big Data, Machine Learning and Applications written by Ripon Patgiri and published by Springer Nature. This book was released on 2021-03-22 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers selected high-quality research papers presented at the International Conference on Big Data, Machine Learning, and Applications (BigDML 2019). It focuses on both theory and applications in the broad areas of big data and machine learning. It brings together the academia, researchers, developers and practitioners from scientific organizations and industry to share and disseminate recent research findings.

2019 IEEE 4th International Conference on Cloud Computing and Big Data Analysis (ICCCBDA)

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Publisher :
ISBN 13 : 9781728114095
Total Pages : pages
Book Rating : 4.1/5 (14 download)

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Book Synopsis 2019 IEEE 4th International Conference on Cloud Computing and Big Data Analysis (ICCCBDA) by : IEEE Staff

Download or read book 2019 IEEE 4th International Conference on Cloud Computing and Big Data Analysis (ICCCBDA) written by IEEE Staff and published by . This book was released on 2019-04-12 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 2019 the 4th IEEE International Conference on Cloud Computing and Big Data Analytics (ICCCBDA 2019) which will be held during April 12 15, 2019 in Chengdu, China ICCCBDA 2019 is one of the leading international conferences for presenting novel and fundamental advances in the fields of Cloud Computing Big Data Analytics It also serves to foster communication among researchers and practitioners working in a wide variety of scientific areas with a common interest in improving Cloud Computing and Big Data Analytics related techniques

Intelligence in Big Data Technologies—Beyond the Hype

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Publisher : Springer Nature
ISBN 13 : 9811552851
Total Pages : 625 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Intelligence in Big Data Technologies—Beyond the Hype by : J. Dinesh Peter

Download or read book Intelligence in Big Data Technologies—Beyond the Hype written by J. Dinesh Peter and published by Springer Nature. This book was released on 2020-07-25 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a compendium of the proceedings of the International Conference on Big-Data and Cloud Computing. The papers discuss the recent advances in the areas of big data analytics, data analytics in cloud, smart cities and grid, etc. This volume primarily focuses on the application of knowledge which promotes ideas for solving problems of the society through cutting-edge big-data technologies. The essays featured in this proceeding provide novel ideas that contribute for the growth of world class research and development. It will be useful to researchers in the area of advanced engineering sciences.

2019 IEEE 4th International Conference on Big Data Analytics (ICBDA)

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Publisher :
ISBN 13 : 9781728112831
Total Pages : pages
Book Rating : 4.1/5 (128 download)

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Book Synopsis 2019 IEEE 4th International Conference on Big Data Analytics (ICBDA) by : IEEE Staff

Download or read book 2019 IEEE 4th International Conference on Big Data Analytics (ICBDA) written by IEEE Staff and published by . This book was released on 2019-03-15 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, Big Data has become a new ubiquitous term Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately society itself The 4th International Conference on Big Data Analysis (ICBDA 2019) provides a leading forum for disseminating the latest research in Big Data Research, Development, and Application ICBDA2019 is co organized by IEEE and Research Institute of Big Data Analytics, Xi an Jiaotong Liverpool University, China Assisted by The Hong Kong Polytechnic University, Hong Kong

Big Data Analytics

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Publisher : Springer Nature
ISBN 13 : 3030371883
Total Pages : 466 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Big Data Analytics by : Sanjay Madria

Download or read book Big Data Analytics written by Sanjay Madria and published by Springer Nature. This book was released on 2019-12-12 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Conference on Big Data analytics, BDA 2019, held in Ahmedabad, India, in December 2019. The 25 papers presented in this volume were carefully reviewed and selected from 53 submissions. The papers are organized in topical sections named: big data analytics: vision and perspectives; search and information extraction; predictive analytics in medical and agricultural domains; graph analytics; pattern mining; and machine learning.

Big Data Analyses, Services, and Smart Data

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Publisher : Springer Nature
ISBN 13 : 9811587310
Total Pages : 127 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Big Data Analyses, Services, and Smart Data by : Wookey Lee

Download or read book Big Data Analyses, Services, and Smart Data written by Wookey Lee and published by Springer Nature. This book was released on 2020-09-10 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers topics like big data analyses, services, and smart data. It contains (i) invited papers, (ii) selected papers from the Sixth International Conference on Big Data Applications and Services (BigDAS 2018), as well as (iii) extended papers from the Sixth IEEE International Conference on Big Data and Smart Computing (IEEE BigComp 2019). The aim of BigDAS is to present innovative results, encourage academic and industrial interaction, and promote collaborative research in the field of big data worldwide. BigDAS 2018 was held in Zhengzhou, China, on August 19–22, 2018, and organized by the Korea Big Data Service Society and TusStar. The goal of IEEE BigComp, initiated by Korean Institute of Information Scientists and Engineers (KIISE), is to provide an international forum for exchanging ideas and information on current studies, challenges, research results, system developments, and practical experiences in the emerging fields of big data and smart computing. IEEE BigComp 2019 was held in Kyoto, Japan, on February 27–March 02, 2019, and co-sponsored by IEEE and KIISE.

Data Mining and Big Data

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Publisher : Springer
ISBN 13 : 9813295635
Total Pages : 340 pages
Book Rating : 4.8/5 (132 download)

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Book Synopsis Data Mining and Big Data by : Ying Tan

Download or read book Data Mining and Big Data written by Ying Tan and published by Springer. This book was released on 2019-07-25 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Conference on Data Mining and Big Data, DMBD 2019, held in Chiang Mai, Thailand, in July 2019. The 26 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 79 submissions. They are organized in topical sections named: data analysis; prediction; clustering; classification; mining pattern; mining tasks.

Big Data

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Publisher : Springer Nature
ISBN 13 : 9811518998
Total Pages : 440 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Big Data by : Hai Jin

Download or read book Big Data written by Hai Jin and published by Springer Nature. This book was released on 2019-11-27 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 7th CCF Conference on Big Data, BigData 2019, held in Wuhan, China, in October 2019. The 30 full papers presented in this volume were carefully reviewed and selected from 324 submissions. They were organized in topical sections as follows: big data modelling and methodology; big data support and architecture; big data processing; big data analysis; and big data application.

Big Data Analytics and Knowledge Discovery

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Publisher : Springer
ISBN 13 : 3030275205
Total Pages : 323 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Big Data Analytics and Knowledge Discovery by : Carlos Ordonez

Download or read book Big Data Analytics and Knowledge Discovery written by Carlos Ordonez and published by Springer. This book was released on 2019-08-19 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 21st International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2019, held in Linz, Austria, in September 2019. The 12 full papers and 10 short papers presented were carefully reviewed and selected from 61 submissions. The papers are organized in the following topical sections: Applications; patterns; RDF and streams; big data systems; graphs and machine learning; databases.

Big Data Innovations and Applications

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Publisher :
ISBN 13 : 9783030273569
Total Pages : 217 pages
Book Rating : 4.2/5 (735 download)

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Book Synopsis Big Data Innovations and Applications by : Muhammad Younas (Senior lecturer in computer science)

Download or read book Big Data Innovations and Applications written by Muhammad Younas (Senior lecturer in computer science) and published by . This book was released on 2019 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the 5th International Conference on Big Data Innovations and Applications, Innovate-Data 2019, held in Istanbul, Turkey, in August 2019. The 15 revised full papers and 1 short paper presented in this volume were carefully reviewed and selected from 48 submissions. The papers are organized in topical sections on advances in big data systems; machine learning and data analytics; big data innovation and applications; security and risk analysis.

Big Data Innovations and Applications

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Publisher : Springer
ISBN 13 : 3030273555
Total Pages : 223 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Big Data Innovations and Applications by : Muhammad Younas

Download or read book Big Data Innovations and Applications written by Muhammad Younas and published by Springer. This book was released on 2019-08-19 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the 5th International Conference on Big Data Innovations and Applications, Innovate-Data 2019, held in Istanbul, Turkey, in August 2019. The 15 revised full papers and 1 short paper presented in this volume were carefully reviewed and selected from 48 submissions. The papers are organized in topical sections on advances in big data systems; machine learning and data analytics; big data innovation and applications; security and risk analysis.

Big Data Analytics and Knowledge Discovery

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Publisher :
ISBN 13 : 9783030275211
Total Pages : 321 pages
Book Rating : 4.2/5 (752 download)

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Book Synopsis Big Data Analytics and Knowledge Discovery by : Carlos Ordonez (Computer scientist)

Download or read book Big Data Analytics and Knowledge Discovery written by Carlos Ordonez (Computer scientist) and published by . This book was released on 2019 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 21st International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2019, held in Linz, Austria, in September 2019. The 12 full papers and 10 short papers presented were carefully reviewed and selected from 61 submissions. The papers are organized in the following topical sections: Applications; patterns; RDF and streams; big data systems; graphs and machine learning; databases.

2019 IEEE International Conference on Big Data (Big Data)

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Publisher :
ISBN 13 : 9781728108599
Total Pages : pages
Book Rating : 4.1/5 (85 download)

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Book Synopsis 2019 IEEE International Conference on Big Data (Big Data) by : IEEE Staff

Download or read book 2019 IEEE International Conference on Big Data (Big Data) written by IEEE Staff and published by . This book was released on 2019-12-09 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: We solicit high quality original research papers (and significant work in progress papers) in any aspect of Big Data with emphasis on 5Vs (Volume, Velocity, Variety, Value and Veracity), including the Big Data challenges in scientific and engineering, social, sensor IoT IoE, and multimedia (audio, video, image, etc ) big data systems and applications The conference adopts single blind review policy

Big Data 2.0 Processing Systems

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Publisher : Springer Nature
ISBN 13 : 3030441873
Total Pages : 145 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Big Data 2.0 Processing Systems by : Sherif Sakr

Download or read book Big Data 2.0 Processing Systems written by Sherif Sakr and published by Springer Nature. This book was released on 2020-07-09 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides readers the “big picture” and a comprehensive survey of the domain of big data processing systems. For the past decade, the Hadoop framework has dominated the world of big data processing, yet recently academia and industry have started to recognize its limitations in several application domains and thus, it is now gradually being replaced by a collection of engines that are dedicated to specific verticals (e.g. structured data, graph data, and streaming data). The book explores this new wave of systems, which it refers to as Big Data 2.0 processing systems. After Chapter 1 presents the general background of the big data phenomena, Chapter 2 provides an overview of various general-purpose big data processing systems that allow their users to develop various big data processing jobs for different application domains. In turn, Chapter 3 examines various systems that have been introduced to support the SQL flavor on top of the Hadoop infrastructure and provide competing and scalable performance in the processing of large-scale structured data. Chapter 4 discusses several systems that have been designed to tackle the problem of large-scale graph processing, while the main focus of Chapter 5 is on several systems that have been designed to provide scalable solutions for processing big data streams, and on other sets of systems that have been introduced to support the development of data pipelines between various types of big data processing jobs and systems. Next, Chapter 6 focuses on covering the emerging frameworks and systems in the domain of scalable machine learning and deep learning processing. Lastly, Chapter 7 shares conclusions and an outlook on future research challenges. This new and considerably enlarged second edition not only contains the completely new chapter 6, but also offers a refreshed content for the state-of-the-art in all domains of big data processing over the last years. Overall, the book offers a valuable reference guide for professional, students, and researchers in the domain of big data processing systems. Further, its comprehensive content will hopefully encourage readers to pursue further research on the subject.

Big Data Analytics for Cyber-Physical System in Smart City

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Publisher : Springer Nature
ISBN 13 : 9811525684
Total Pages : 2049 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Big Data Analytics for Cyber-Physical System in Smart City by : Mohammed Atiquzzaman

Download or read book Big Data Analytics for Cyber-Physical System in Smart City written by Mohammed Atiquzzaman and published by Springer Nature. This book was released on 2020-01-11 with total page 2049 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers a selection of peer-reviewed papers presented at the first Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2019) conference, held in Shengyang, China, on 28–29 December 2019. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.

Information Management and Big Data

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Publisher : Springer Nature
ISBN 13 : 3030461408
Total Pages : 360 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Information Management and Big Data by : Juan Antonio Lossio-Ventura

Download or read book Information Management and Big Data written by Juan Antonio Lossio-Ventura and published by Springer Nature. This book was released on 2020-04-22 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Conference on Information Management and Big Data, SIMBig 2019, held in Lima, Peru, in August 2019. The 15 full papers and 16 short papers presented were carefully reviewed and selected from 104 submissions. The papers address issues such as data mining, artificial intelligence, Natural Language Processing, information retrieval, machine learning, web mining.