Big Data Bigdata 2019

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Big Data – BigData 2019

Author : Keke Chen,Sangeetha Seshadri,Liang-Jie Zhang
Publisher : Springer
Page : 147 pages
File Size : 50,6 Mb
Release : 2019-06-19
Category : Computers
ISBN : 9783030235512

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Big Data – BigData 2019 by Keke Chen,Sangeetha Seshadri,Liang-Jie Zhang Pdf

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

Author : Ripon Patgiri,Sivaji Bandyopadhyay,Valentina Emilia Balas
Publisher : Springer Nature
Page : 268 pages
File Size : 52,5 Mb
Release : 2021-03-22
Category : Technology & Engineering
ISBN : 9789813347885

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Proceedings of International Conference on Big Data, Machine Learning and Applications by Ripon Patgiri,Sivaji Bandyopadhyay,Valentina Emilia Balas Pdf

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)

Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 44,9 Mb
Release : 2019-04-12
Category : Electronic
ISBN : 1728114098

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

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

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

Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 52,6 Mb
Release : 2019-03-15
Category : Electronic
ISBN : 1728112834

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

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

Intelligence in Big Data Technologies—Beyond the Hype

Author : J. Dinesh Peter,Steven L. Fernandes,Amir H. Alavi
Publisher : Springer Nature
Page : 625 pages
File Size : 53,6 Mb
Release : 2020-07-25
Category : Technology & Engineering
ISBN : 9789811552854

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Intelligence in Big Data Technologies—Beyond the Hype by J. Dinesh Peter,Steven L. Fernandes,Amir H. Alavi Pdf

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.

Big Data Analyses, Services, and Smart Data

Author : Wookey Lee,Carson K. Leung,Aziz Nasridinov
Publisher : Springer Nature
Page : 127 pages
File Size : 43,9 Mb
Release : 2020-09-10
Category : Technology & Engineering
ISBN : 9789811587313

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Big Data Analyses, Services, and Smart Data by Wookey Lee,Carson K. Leung,Aziz Nasridinov Pdf

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.

Big Data Analytics

Author : Sanjay Madria,Philippe Fournier-Viger,Sanjay Chaudhary,P. Krishna Reddy
Publisher : Springer Nature
Page : 466 pages
File Size : 47,7 Mb
Release : 2019-12-12
Category : Computers
ISBN : 9783030371883

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Big Data Analytics by Sanjay Madria,Philippe Fournier-Viger,Sanjay Chaudhary,P. Krishna Reddy Pdf

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

Author : Hai Jin,Xuemin Lin,Xueqi Cheng,Xuanhua Shi,Nong Xiao,Yihua Huang
Publisher : Springer Nature
Page : 440 pages
File Size : 46,7 Mb
Release : 2019-11-27
Category : Computers
ISBN : 9789811518997

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Big Data by Hai Jin,Xuemin Lin,Xueqi Cheng,Xuanhua Shi,Nong Xiao,Yihua Huang Pdf

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.

Data Mining and Big Data

Author : Ying Tan,Yuhui Shi
Publisher : Springer
Page : 340 pages
File Size : 42,6 Mb
Release : 2019-07-25
Category : Computers
ISBN : 9789813295636

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Data Mining and Big Data by Ying Tan,Yuhui Shi Pdf

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.

2019 IEEE International Conference on Big Data (Big Data)

Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 52,9 Mb
Release : 2019-12-09
Category : Electronic
ISBN : 1728108594

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2019 IEEE International Conference on Big Data (Big Data) by IEEE Staff Pdf

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 Analytics and Knowledge Discovery

Author : Carlos Ordonez,Il-Yeol Song,Gabriele Anderst-Kotsis,A Min Tjoa,Ismail Khalil
Publisher : Springer
Page : 323 pages
File Size : 49,5 Mb
Release : 2019-08-19
Category : Computers
ISBN : 9783030275204

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Big Data Analytics and Knowledge Discovery by Carlos Ordonez,Il-Yeol Song,Gabriele Anderst-Kotsis,A Min Tjoa,Ismail Khalil Pdf

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

Author : Muhammad Younas (Senior lecturer in computer science),Irfan Awan,Salima Benbernou
Publisher : Unknown
Page : 217 pages
File Size : 48,9 Mb
Release : 2019
Category : Big data
ISBN : 3030273563

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Big Data Innovations and Applications by Muhammad Younas (Senior lecturer in computer science),Irfan Awan,Salima Benbernou Pdf

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

Author : Muhammad Younas,Irfan Awan,Salima Benbernou
Publisher : Springer
Page : 223 pages
File Size : 41,7 Mb
Release : 2019-08-19
Category : Computers
ISBN : 9783030273552

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Big Data Innovations and Applications by Muhammad Younas,Irfan Awan,Salima Benbernou Pdf

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

Author : Carlos Ordonez (Computer scientist),Il-Yeol Song,Gabriele Kotsis,A. Min Tjoa,Ismail Khalil
Publisher : Unknown
Page : 321 pages
File Size : 55,7 Mb
Release : 2019
Category : Big data
ISBN : 3030275213

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Big Data Analytics and Knowledge Discovery by Carlos Ordonez (Computer scientist),Il-Yeol Song,Gabriele Kotsis,A. Min Tjoa,Ismail Khalil Pdf

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 2.0 Processing Systems

Author : Sherif Sakr
Publisher : Springer Nature
Page : 145 pages
File Size : 50,8 Mb
Release : 2020-07-09
Category : Computers
ISBN : 9783030441876

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Big Data 2.0 Processing Systems by Sherif Sakr Pdf

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.