Big Data Technologies And Applications

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Big Data Technologies and Applications

Borko Furht,Flavio Villanustre
Big Data Technologies and Applications Book PDF

Author : Borko Furht,Flavio Villanustre
Publisher : Springer
Page : 400 pages
File Size : 42,5 Mb
Release : 2016-09-16
Category : Computers
ISBN : 9783319445502

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Big Data Technologies and Applications by Borko Furht,Flavio Villanustre Pdf

The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform. The book comprises 15 chapters broken into three parts. The first part, Big Data Technologies, includes introductions to big data concepts and techniques; big data analytics; and visualization and learning techniques. The second part, LexisNexis Risk Solution to Big Data, focuses on specific technologies and techniques developed at LexisNexis to solve critical problems that use big data analytics. It covers the open source High Performance Computing Cluster (HPCC Systems®) platform and its architecture, as well as parallel data languages ECL and KEL, developed to effectively solve big data problems. The third part, Big Data Applications, describes various data intensive applications solved on HPCC Systems. It includes applications such as cyber security, social network analytics including fraud, Ebola spread modeling using big data analytics, unsupervised learning, and image classification. The book is intended for a wide variety of people including researchers, scientists, programmers, engineers, designers, developers, educators, and students. This book can also be beneficial for business managers, entrepreneurs, and investors.

Big Data Management, Technologies, and Applications

Hu, Wen-Chen
Big Data Management Technologies and Applications Book PDF

Author : Hu, Wen-Chen
Publisher : IGI Global
Page : 342 pages
File Size : 50,8 Mb
Release : 2013-10-31
Category : Computers
ISBN : 9781466647008

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Big Data Management, Technologies, and Applications by Hu, Wen-Chen Pdf

"This book discusses the exponential growth of information size and the innovative methods for data capture, storage, sharing, and analysis for big data"--Provided by publisher.

Distributed Computing in Big Data Analytics

Sourav Mazumder,Robin Singh Bhadoria,Ganesh Chandra Deka
Distributed Computing in Big Data Analytics Book PDF

Author : Sourav Mazumder,Robin Singh Bhadoria,Ganesh Chandra Deka
Publisher : Springer
Page : 162 pages
File Size : 44,5 Mb
Release : 2017-08-29
Category : Computers
ISBN : 9783319598345

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Distributed Computing in Big Data Analytics by Sourav Mazumder,Robin Singh Bhadoria,Ganesh Chandra Deka Pdf

Big data technologies are used to achieve any type of analytics in a fast and predictable way, thus enabling better human and machine level decision making. Principles of distributed computing are the keys to big data technologies and analytics. The mechanisms related to data storage, data access, data transfer, visualization and predictive modeling using distributed processing in multiple low cost machines are the key considerations that make big data analytics possible within stipulated cost and time practical for consumption by human and machines. However, the current literature available in big data analytics needs a holistic perspective to highlight the relation between big data analytics and distributed processing for ease of understanding and practitioner use. This book fills the literature gap by addressing key aspects of distributed processing in big data analytics. The chapters tackle the essential concepts and patterns of distributed computing widely used in big data analytics. This book discusses also covers the main technologies which support distributed processing. Finally, this book provides insight into applications of big data analytics, highlighting how principles of distributed computing are used in those situations. Practitioners and researchers alike will find this book a valuable tool for their work, helping them to select the appropriate technologies, while understanding the inherent strengths and drawbacks of those technologies.

Cloud Computing and Big Data: Technologies, Applications and Security

Mostapha Zbakh,Mohammed Essaaidi,Pierre Manneback,Chunming Rong
Cloud Computing and Big Data Technologies Applications and Security Book PDF

Author : Mostapha Zbakh,Mohammed Essaaidi,Pierre Manneback,Chunming Rong
Publisher : Springer
Page : 394 pages
File Size : 42,8 Mb
Release : 2018-07-27
Category : Technology & Engineering
ISBN : 9783319977195

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Cloud Computing and Big Data: Technologies, Applications and Security by Mostapha Zbakh,Mohammed Essaaidi,Pierre Manneback,Chunming Rong Pdf

This book addresses topics related to cloud and Big Data technologies, architecture and applications including distributed computing and data centers, cloud infrastructure and security, and end-user services. The majority of the book is devoted to the security aspects of cloud computing and Big Data. Cloud computing, which can be seen as any subscription-based or pay-per-use service that extends the Internet’s existing capabilities, has gained considerable attention from both academia and the IT industry as a new infrastructure requiring smaller investments in hardware platforms, staff training, or licensing software tools. It is a new paradigm that has ushered in a revolution in both data storage and computation. In parallel to this progress, Big Data technologies, which rely heavily on cloud computing platforms for both data storage and processing, have been developed and deployed at breathtaking speed. They are among the most frequently used technologies for developing applications and services in many fields, such as the web, health, and energy. Accordingly, cloud computing and Big Data technologies are two of the most central current and future research mainstreams. They involve and impact a host of fields, including business, scientific research, and public and private administration. Gathering extended versions of the best papers presented at the Third International Conference on Cloud Computing Technologies and Applications (CloudTech’17), this book offers a valuable resource for all Information System managers, researchers, students, developers, and policymakers involved in the technological and application aspects of cloud computing and Big Data.

Encyclopedia of Big Data Technologies

Sherif Sakr,Albert Zomaya
Encyclopedia of Big Data Technologies Book PDF

Author : Sherif Sakr,Albert Zomaya
Publisher : Springer
Page : 1820 pages
File Size : 48,6 Mb
Release : 2019-03-01
Category : Computers
ISBN : 3319775243

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Encyclopedia of Big Data Technologies by Sherif Sakr,Albert Zomaya Pdf

The Encyclopedia of Big Data Technologies provides researchers, educators, students and industry professionals with a comprehensive authority over the most relevant Big Data Technology concepts. With over 300 articles written by worldwide subject matter experts from both industry and academia, the encyclopedia covers topics such as big data storage systems, NoSQL database, cloud computing, distributed systems, data processing, data management, machine learning and social technologies, data science. Each peer-reviewed, highly structured entry provides the reader with basic terminology, subject overviews, key research results, application examples, future directions, cross references and a bibliography. The entries are expository and tutorial, making this reference a practical resource for students, academics, or professionals. In addition, the distinguished, international editorial board of the encyclopedia consists of well-respected scholars, each developing topics based upon their expertise.

Multimodal Analytics for Next-Generation Big Data Technologies and Applications

Kah Phooi Seng,Li-minn Ang,Alan Wee-Chung Liew,Junbin Gao
Multimodal Analytics for Next Generation Big Data Technologies and Applications Book PDF

Author : Kah Phooi Seng,Li-minn Ang,Alan Wee-Chung Liew,Junbin Gao
Publisher : Springer
Page : 391 pages
File Size : 49,9 Mb
Release : 2019-07-18
Category : Computers
ISBN : 9783319975986

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Multimodal Analytics for Next-Generation Big Data Technologies and Applications by Kah Phooi Seng,Li-minn Ang,Alan Wee-Chung Liew,Junbin Gao Pdf

This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data environments. After an introduction, the editors organize the book into four main parts on sentiment, affect and emotion analytics for big multimodal data; unsupervised learning strategies for big multimodal data; supervised learning strategies for big multimodal data; and multimodal big data processing and applications. The book will be of value to researchers, professionals and students in engineering and computer science, particularly those engaged with image and speech processing, multimodal information processing, data science, and artificial intelligence.

Big Data Technologies and Applications

Jason J. Jung,Pankoo Kim,Kwang Nam Choi
Big Data Technologies and Applications Book PDF

Author : Jason J. Jung,Pankoo Kim,Kwang Nam Choi
Publisher : Springer
Page : 147 pages
File Size : 40,8 Mb
Release : 2018-11-08
Category : Computers
ISBN : 9783319987521

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Big Data Technologies and Applications by Jason J. Jung,Pankoo Kim,Kwang Nam Choi Pdf

This book constitutes the refereed post-conference proceedings of the 8th International Conference on Big Data Technologies and Applications, BDTA 2017, held in Gwangju, South Korea, in November 2017. The 15 revised full papers were carefully reviewed and selected from 25 submissions and handle theoretical foundations and practical applications which premise the new generation of data analytics and engineering. The contributions deal with following topics: privacy and security, image processing, context awareness, s/w engineering and e-commerce, social media and health care.

Big Data

Rajkumar Buyya,Rodrigo N. Calheiros,Amir Vahid Dastjerdi
Big Data Book PDF

Author : Rajkumar Buyya,Rodrigo N. Calheiros,Amir Vahid Dastjerdi
Publisher : Morgan Kaufmann
Page : 494 pages
File Size : 51,9 Mb
Release : 2016-06-07
Category : Computers
ISBN : 9780128093467

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Big Data by Rajkumar Buyya,Rodrigo N. Calheiros,Amir Vahid Dastjerdi Pdf

Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications. To help realize Big Data’s full potential, the book addresses numerous challenges, offering the conceptual and technological solutions for tackling them. These challenges include life-cycle data management, large-scale storage, flexible processing infrastructure, data modeling, scalable machine learning, data analysis algorithms, sampling techniques, and privacy and ethical issues. Covers computational platforms supporting Big Data applications Addresses key principles underlying Big Data computing Examines key developments supporting next generation Big Data platforms Explores the challenges in Big Data computing and ways to overcome them Contains expert contributors from both academia and industry

Intelligence in Big Data Technologies—Beyond the Hype

J. Dinesh Peter,Steven L. Fernandes,Amir H. Alavi
Intelligence in Big Data Technologies Beyond the Hype Book PDF

Author : J. Dinesh Peter,Steven L. Fernandes,Amir H. Alavi
Publisher : Springer Nature
Page : 625 pages
File Size : 52,7 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 Applications in Industry 4.0

P. Kaliraj,T. Devi
Big Data Applications in Industry 4 0 Book PDF

Author : P. Kaliraj,T. Devi
Publisher : CRC Press
Page : 446 pages
File Size : 51,9 Mb
Release : 2022-02-10
Category : Computers
ISBN : 9781000537666

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Big Data Applications in Industry 4.0 by P. Kaliraj,T. Devi Pdf

Industry 4.0 is the latest technological innovation in manufacturing with the goal to increase productivity in a flexible and efficient manner. Changing the way in which manufacturers operate, this revolutionary transformation is powered by various technology advances including Big Data analytics, Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing. Big Data analytics has been identified as one of the significant components of Industry 4.0, as it provides valuable insights for smart factory management. Big Data and Industry 4.0 have the potential to reduce resource consumption and optimize processes, thereby playing a key role in achieving sustainable development. Big Data Applications in Industry 4.0 covers the recent advancements that have emerged in the field of Big Data and its applications. The book introduces the concepts and advanced tools and technologies for representing and processing Big Data. It also covers applications of Big Data in such domains as financial services, education, healthcare, biomedical research, logistics, and warehouse management. Researchers, students, scientists, engineers, and statisticians can turn to this book to learn about concepts, technologies, and applications that solve real-world problems. Features An introduction to data science and the types of data analytics methods accessible today An overview of data integration concepts, methodologies, and solutions A general framework of forecasting principles and applications, as well as basic forecasting models including naïve, moving average, and exponential smoothing models A detailed roadmap of the Big Data evolution and its related technological transformation in computing, along with a brief description of related terminologies The application of Industry 4.0 and Big Data in the field of education The features, prospects, and significant role of Big Data in the banking industry, as well as various use cases of Big Data in banking, finance services, and insurance Implementing a Data Lake (DL) in the cloud and the significance of a data lake in decision making

Big Data

Hassan A. Karimi
Big Data Book PDF

Author : Hassan A. Karimi
Publisher : CRC Press
Page : 314 pages
File Size : 44,8 Mb
Release : 2014-02-18
Category : Mathematics
ISBN : 9781466586512

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Big Data by Hassan A. Karimi Pdf

Big data has always been a major challenge in geoinformatics as geospatial data come in various types and formats, new geospatial data are acquired very fast, and geospatial databases are inherently very large. And while there have been advances in hardware and software for handling big data, they often fall short of handling geospatial big data efficiently and effectively. Big Data: Techniques and Technologies in Geoinformatics tackles these challenges head on, integrating coverage of techniques and technologies for storing, managing, and computing geospatial big data. Providing a perspective based on analysis of time, applications, and resources, this book familiarizes readers with geospatial applications that fall under the category of big data. It explores new trends in geospatial data collection, such as geo-crowdsourcing and advanced data collection technologies such as LiDAR point clouds. The book features a range of topics on big data techniques and technologies in geoinformatics including distributed computing, geospatial data analytics, social media, and volunteered geographic information. With chapters contributed by experts in geoinformatics and in domains such as computing and engineering, the book provides an understanding of the challenges and issues of big data in geoinformatics applications. The book is a single collection of current and emerging techniques, technologies, and tools that are needed to collect, analyze, manage, process, and visualize geospatial big data.

Big Data Technologies and Applications

Zeng Deze,Huan Huang,Rui Hou,Seungmin Rho,Naveen Chilamkurti
Big Data Technologies and Applications Book PDF

Author : Zeng Deze,Huan Huang,Rui Hou,Seungmin Rho,Naveen Chilamkurti
Publisher : Springer Nature
Page : 209 pages
File Size : 52,5 Mb
Release : 2021-04-08
Category : Computers
ISBN : 9783030728021

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Big Data Technologies and Applications by Zeng Deze,Huan Huang,Rui Hou,Seungmin Rho,Naveen Chilamkurti Pdf

This book constitutes the refereed post-conference proceedings of the 10th International Conference on Big Data Technologies and Applications, BDTA 2020, and the 13th International Conference on Wireless Internet, WiCON 2020, held in December 2020. Due to COVID-19 pandemic the conference was held virtually. The 9 full papers of BDTA 2020 were selected from 22 submissions and present all big data technologies, such as storage, search and management. WiCON 2020 received 18 paper submissions and after the reviewing process 5 papers were accepted. The main topics include wireless and communicating networks, wireless communication security, green wireless network architectures and IoT based applications.

Big Data Technologies and Applications

Rui Hou,Huan Huang,Deze Zeng,Guisong Xia,Kareem Kamal A. Ghany,Hossam M. Zawbaa
Big Data Technologies and Applications Book PDF

Author : Rui Hou,Huan Huang,Deze Zeng,Guisong Xia,Kareem Kamal A. Ghany,Hossam M. Zawbaa
Publisher : Springer Nature
Page : 363 pages
File Size : 43,6 Mb
Release : 2023-06-26
Category : Computers
ISBN : 9783031336140

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Big Data Technologies and Applications by Rui Hou,Huan Huang,Deze Zeng,Guisong Xia,Kareem Kamal A. Ghany,Hossam M. Zawbaa Pdf

This book constitutes the refereed post-conference proceedings of the 11th and the 12th International Conference on Big Data Technologies and Applications, BDTA 2021 and BDTA 2022, held in December 2021 and 2022. Due to COVID-19 pandemic both conferences were held virtually. The 23 full papers of BDTA 2021 and BDTA 2022 were selected from 61 submissions and present all big data technologies, such as big data collection and storage, big data management and retrieval, big data mining approaches, big data visualization, and new domains and novel applications related to these technologies.

Big Data

Min Chen,Shiwen Mao,Yin Zhang,Victor C.M. Leung
Big Data Book PDF

Author : Min Chen,Shiwen Mao,Yin Zhang,Victor C.M. Leung
Publisher : Springer
Page : 89 pages
File Size : 48,7 Mb
Release : 2014-05-05
Category : Computers
ISBN : 9783319062457

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Big Data by Min Chen,Shiwen Mao,Yin Zhang,Victor C.M. Leung Pdf

This Springer Brief provides a comprehensive overview of the background and recent developments of big data. The value chain of big data is divided into four phases: data generation, data acquisition, data storage and data analysis. For each phase, the book introduces the general background, discusses technical challenges and reviews the latest advances. Technologies under discussion include cloud computing, Internet of Things, data centers, Hadoop and more. The authors also explore several representative applications of big data such as enterprise management, online social networks, healthcare and medical applications, collective intelligence and smart grids. This book concludes with a thoughtful discussion of possible research directions and development trends in the field. Big Data: Related Technologies, Challenges and Future Prospects is a concise yet thorough examination of this exciting area. It is designed for researchers and professionals interested in big data or related research. Advanced-level students in computer science and electrical engineering will also find this book useful.

Big Data Technologies and Applications

Jason J. Jung,Pankoo Kim
Big Data Technologies and Applications Book PDF

Author : Jason J. Jung,Pankoo Kim
Publisher : Springer
Page : 155 pages
File Size : 43,5 Mb
Release : 2017-06-05
Category : Computers
ISBN : 9783319589671

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Big Data Technologies and Applications by Jason J. Jung,Pankoo Kim Pdf

This book constitutes the refereed post-conference proceedings of the 7th International Conference on Big data Technologies and Applications, BDTA 2016, held in Seoul, South Korea, in November 2016. BDTA 2016 was collocated with the First International Workshop on Internet of Things, Social Network, and Security in Big Data, ISSB 2016 and the First International Workshop on Digital Humanity with Big Data, DiHuBiDa 2016. The 17 revised full papers were carefully reviewed and selected from 25 submissions and handle theoretical foundations and practical applications which premise the new generation of data analytics and engineering.