Big Data Bigdata 2018

Big Data Bigdata 2018 Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Big Data Bigdata 2018 book. This book definitely worth reading, it is an incredibly well-written.

Big Data – BigData 2018

Author : Francis Y. L. Chin,C. L. Philip Chen,Latifur Khan,Kisung Lee,Liang-Jie Zhang
Publisher : Springer
Page : 387 pages
File Size : 51,7 Mb
Release : 2018-06-20
Category : Computers
ISBN : 9783319943015

Get Book

Big Data – BigData 2018 by Francis Y. L. Chin,C. L. Philip Chen,Latifur Khan,Kisung Lee,Liang-Jie Zhang Pdf

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.

2018 IEEE International Congress on Big Data (BigData Congress)

Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 45,5 Mb
Release : 2018-07-02
Category : Electronic
ISBN : 1538672332

Get Book

2018 IEEE International Congress on Big Data (BigData Congress) by IEEE Staff Pdf

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

Big Data – BigData 2019

Author : Keke Chen,Sangeetha Seshadri,Liang-Jie Zhang
Publisher : Springer
Page : 147 pages
File Size : 43,5 Mb
Release : 2019-06-19
Category : Computers
ISBN : 9783030235512

Get Book

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.

Data Science and Big Data Analytics

Author : Durgesh Kumar Mishra,Xin-She Yang,Aynur Unal
Publisher : Springer
Page : 406 pages
File Size : 42,5 Mb
Release : 2018-08-01
Category : Technology & Engineering
ISBN : 9789811076411

Get Book

Data Science and Big Data Analytics by Durgesh Kumar Mishra,Xin-She Yang,Aynur Unal Pdf

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.

Intelligent Computing and Innovation on Data Science

Author : Sheng-Lung Peng,Le Hoang Son,G. Suseendran,D. Balaganesh
Publisher : Springer Nature
Page : 796 pages
File Size : 48,6 Mb
Release : 2020-05-14
Category : Technology & Engineering
ISBN : 9789811532849

Get Book

Intelligent Computing and Innovation on Data Science by Sheng-Lung Peng,Le Hoang Son,G. Suseendran,D. Balaganesh Pdf

This book covers both basic and high-level concepts relating to the intelligent computing paradigm and data sciences in the context of distributed computing, big data, data sciences, high-performance computing and Internet of Things. It is becoming increasingly important to develop adaptive, intelligent computing-centric, energy-aware, secure and privacy-aware systems in high-performance computing and IoT applications. In this context, the book serves as a useful guide for industry practitioners, and also offers beginners a comprehensive introduction to basic and advanced areas of intelligent computing. Further, it provides a platform for researchers, engineers, academics and industrial professionals around the globe to showcase their recent research concerning recent trends. Presenting novel ideas and stimulating interesting discussions, the book appeals to researchers and practitioners working in the field of information technology and computer science.

2018 IEEE International Conference on Big Data (Big Data)

Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 55,7 Mb
Release : 2018-12-10
Category : Electronic
ISBN : 1538650363

Get Book

2018 IEEE International Conference on Big Data (Big Data) by IEEE Staff Pdf

The 2018 IEEE International Conference on Big Data (IEEE Big Data 2018) will continue the success of the previous IEEE Big Data conferences It will provide a leading forum for disseminating the latest results in Big Data Research, Development, and Applications 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

Big Data Analytics

Author : Anirban Mondal,Himanshu Gupta,Jaideep Srivastava,P. Krishna Reddy,D.V.L.N. Somayajulu
Publisher : Springer
Page : 429 pages
File Size : 51,7 Mb
Release : 2018-12-11
Category : Computers
ISBN : 9783030047801

Get Book

Big Data Analytics by Anirban Mondal,Himanshu Gupta,Jaideep Srivastava,P. Krishna Reddy,D.V.L.N. Somayajulu Pdf

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.

Big Data Analytics and Knowledge Discovery

Author : Carlos Ordonez,Ladjel Bellatreche
Publisher : Springer
Page : 401 pages
File Size : 44,9 Mb
Release : 2018-08-20
Category : Computers
ISBN : 9783319985398

Get Book

Big Data Analytics and Knowledge Discovery by Carlos Ordonez,Ladjel Bellatreche Pdf

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.

2018 IEEE 3rd International Conference on Big Data Analysis (ICBDA)

Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 41,9 Mb
Release : 2018-03-09
Category : Electronic
ISBN : 1538647958

Get Book

2018 IEEE 3rd International Conference on Big Data Analysis (ICBDA) by IEEE Staff Pdf

Big Data overall architecture consists of three layers data storage, data processing and data analysis Data storage layer stores complex type and mass data, data processing layer realizes real time processing of massive data, and only through data analysis layer, smart, in depth and valuable information are got When talking about big data, it comes to the first is 4V characteristics of big data, namely Volumes, Variety, Velocity, Veracity Big data processing key technology generally includes data acquisition, data preprocessing, data storage and data management, data analysis and mining, big show and application (big data retrieval, data visualization, big data applications, data security, etc ) In recent years, Big Data has become a new ubiquitous term

Big Data Analytics

Author : Sanjay Madria,Philippe Fournier-Viger,Sanjay Chaudhary,P. Krishna Reddy
Publisher : Springer Nature
Page : 466 pages
File Size : 49,8 Mb
Release : 2019-12-12
Category : Computers
ISBN : 9783030371883

Get Book

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.

Research Anthology on Big Data Analytics, Architectures, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1988 pages
File Size : 47,8 Mb
Release : 2021-09-24
Category : Computers
ISBN : 9781668436639

Get Book

Research Anthology on Big Data Analytics, Architectures, and Applications by Management Association, Information Resources Pdf

Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.

Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities

Author : Segall, Richard S.,Niu, Gao
Publisher : IGI Global
Page : 237 pages
File Size : 53,5 Mb
Release : 2020-02-21
Category : Computers
ISBN : 9781799827702

Get Book

Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities by Segall, Richard S.,Niu, Gao Pdf

With the development of computing technologies in today’s modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines.

Technologies and Applications for Big Data Value

Author : Edward Curry,Sören Auer,Arne J. Berre,Andreas Metzger,Maria S. Perez,Sonja Zillner
Publisher : Springer Nature
Page : 555 pages
File Size : 41,6 Mb
Release : 2022
Category : Application software
ISBN : 9783030783075

Get Book

Technologies and Applications for Big Data Value by Edward Curry,Sören Auer,Arne J. Berre,Andreas Metzger,Maria S. Perez,Sonja Zillner Pdf

This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer real-world solutions to major industrial areas. The book starts with an introductory chapter that provides an overview of the book by positioning the following chapters in terms of their contributions to technology frameworks which are key elements of the Big Data Value Public-Private Partnership and the upcoming Partnership on AI, Data and Robotics. The remainder of the book is then arranged in two parts. The first part "Technologies and Methods" contains horizontal contributions of technologies and methods that enable data value chains to be applied in any sector. The second part "Processes and Applications" details experience reports and lessons from using big data and data-driven approaches in processes and applications. Its chapters are co-authored with industry experts and cover domains including health, law, finance, retail, manufacturing, mobility, and smart cities. Contributions emanate from the Big Data Value Public-Private Partnership and the Big Data Value Association, which have acted as the European data community's nucleus to bring together businesses with leading researchers to harness the value of data to benefit society, business, science, and industry. The book is of interest to two primary audiences, first, undergraduate and postgraduate students and researchers in various fields, including big data, data science, data engineering, and machine learning and AI. Second, practitioners and industry experts engaged in data-driven systems, software design and deployment projects who are interested in employing these advanced methods to address real-world problems.

Big Data Analyses, Services, and Smart Data

Author : Wookey Lee,Carson K. Leung,Aziz Nasridinov
Publisher : Springer Nature
Page : 127 pages
File Size : 44,5 Mb
Release : 2020-09-10
Category : Technology & Engineering
ISBN : 9789811587313

Get Book

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.