Convergence Of Big Data Technologies And Computational Intelligent Techniques

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Convergence of Big Data Technologies and Computational Intelligent Techniques

Gupta, Govind P.
Convergence of Big Data Technologies and Computational Intelligent Techniques Book PDF

Author : Gupta, Govind P.
Publisher : IGI Global
Page : 256 pages
File Size : 49,9 Mb
Release : 2022-09-16
Category : Computers
ISBN : 9781668452660

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Convergence of Big Data Technologies and Computational Intelligent Techniques by Gupta, Govind P. Pdf

Advanced computational intelligence techniques have been designed and developed in recent years to cope with various big data challenges and provide fast and efficient analytics that assist in making critical decisions. With the rapid evolution and development of internet-based services and applications, this technology is receiving attention from researchers, industries, and academic communities and requires additional study. Convergence of Big Data Technologies and Computational Intelligent Techniques considers recent advancements in big data and computational intelligence across fields and disciplines and discusses the various opportunities and challenges of adoption. Covering topics such as deep learning, data mining, smart environments, and high-performance computing, this reference work is crucial for computer scientists, engineers, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

Innovations in Computational Intelligence, Big Data Analytics and Internet of Things

Sam Goundar,J. Avanija,Gurram Sunitha,K. Reddy Madhavi
Innovations in Computational Intelligence Big Data Analytics and Internet of Things Book PDF

Author : Sam Goundar,J. Avanija,Gurram Sunitha,K. Reddy Madhavi
Publisher : IAP
Page : 385 pages
File Size : 50,9 Mb
Release : 2024-03-01
Category : Computers
ISBN : 9798887305615

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Innovations in Computational Intelligence, Big Data Analytics and Internet of Things by Sam Goundar,J. Avanija,Gurram Sunitha,K. Reddy Madhavi Pdf

As sensors spread across almost every industry, the internet of things is going to trigger a massive influx of big data. We delve into where IoT will have the biggest impact and what it means for the future of big data analytics. Internet of Things is changing the face of different sectors such as manufacturing, health-care, business, education etc. by completely redefining the way people, devices, and apps connect and interact with each other in the eco system. From personal fitness and wellness sensors, implantable devices to surgical robots – IoT is bringing in new tools and efficiencies in the ecosystem resulting in more integrated healthcare. Application of computational intelligence techniques is today considered as a key success factor to solve the growing scale and complexity of problems in the field of health care systems, agriculture, e-commerce etc. The convergence of Computational intelligence, Big Data and IoT provides new opportunities and revolutionize business in huge way. This book will support industry and governmental agencies to facilitate and make sense of myriad connected devices in coming decade. This book offers the recent advancements in Computational Intelligence, IoT and Big Data Analytics. • Development of models and algorithms for employing IoT based facilities in healthcare, industry, agriculture, e- commerce, manufacturing, business etc. • Methods for collection, management retrieval and processing of Big Data in various domains. • Provides taxonomy of challenges, issues and research directions in applications of computational intelligence techniques in different domains

Deep Learning: Convergence to Big Data Analytics

Murad Khan,Bilal Jan,Haleem Farman
Deep Learning Convergence to Big Data Analytics Book PDF

Author : Murad Khan,Bilal Jan,Haleem Farman
Publisher : Springer
Page : 79 pages
File Size : 41,6 Mb
Release : 2018-12-30
Category : Computers
ISBN : 9789811334597

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Deep Learning: Convergence to Big Data Analytics by Murad Khan,Bilal Jan,Haleem Farman Pdf

This book presents deep learning techniques, concepts, and algorithms to classify and analyze big data. Further, it offers an introductory level understanding of the new programming languages and tools used to analyze big data in real-time, such as Hadoop, SPARK, and GRAPHX. Big data analytics using traditional techniques face various challenges, such as fast, accurate and efficient processing of big data in real-time. In addition, the Internet of Things is progressively increasing in various fields, like smart cities, smart homes, and e-health. As the enormous number of connected devices generate huge amounts of data every day, we need sophisticated algorithms to deal, organize, and classify this data in less processing time and space. Similarly, existing techniques and algorithms for deep learning in big data field have several advantages thanks to the two main branches of the deep learning, i.e. convolution and deep belief networks. This book offers insights into these techniques and applications based on these two types of deep learning. Further, it helps students, researchers, and newcomers understand big data analytics based on deep learning approaches. It also discusses various machine learning techniques in concatenation with the deep learning paradigm to support high-end data processing, data classifications, and real-time data processing issues. The classification and presentation are kept quite simple to help the readers and students grasp the basics concepts of various deep learning paradigms and frameworks. It mainly focuses on theory rather than the mathematical background of the deep learning concepts. The book consists of 5 chapters, beginning with an introductory explanation of big data and deep learning techniques, followed by integration of big data and deep learning techniques and lastly the future directions.

Convergence of Cloud with AI for Big Data Analytics

Danda B. Rawat,Lalit K. Awasthi,Valentina Emilia Balas,Mohit Kumar,Jitendra Kumar Samriya
Convergence of Cloud with AI for Big Data Analytics Book PDF

Author : Danda B. Rawat,Lalit K. Awasthi,Valentina Emilia Balas,Mohit Kumar,Jitendra Kumar Samriya
Publisher : John Wiley & Sons
Page : 452 pages
File Size : 42,5 Mb
Release : 2023-02-13
Category : Computers
ISBN : 9781119905219

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Convergence of Cloud with AI for Big Data Analytics by Danda B. Rawat,Lalit K. Awasthi,Valentina Emilia Balas,Mohit Kumar,Jitendra Kumar Samriya Pdf

CONVERGENCE of CLOUD with AI for BIG DATA ANALYTICS This book covers the foundations and applications of cloud computing, AI, and Big Data and analyses their convergence for improved development and services. The 17 chapters of the book masterfully and comprehensively cover the intertwining concepts of artificial intelligence, cloud computing, and big data, all of which have recently emerged as the next-generation paradigms. There has been rigorous growth in their applications and the hybrid blend of AI Cloud and IoT (Ambient-intelligence technology) also relies on input from wireless devices. Despite the multitude of applications and advancements, there are still some limitations and challenges to overcome, such as security, latency, energy consumption, service allocation, healthcare services, network lifetime, etc. Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovation details all these technologies and how they are related to state-of-the-art applications, and provides a comprehensive overview for readers interested in advanced technologies, identifying the challenges, proposed solutions, as well as how to enhance the framework. Audience Researchers and post-graduate students in computing as well as engineers and practitioners in software engineering, electrical engineers, data analysts, and cyber security professionals.

Cognitive Computing and Big Data Analytics

Judith S. Hurwitz,Marcia Kaufman,Adrian Bowles
Cognitive Computing and Big Data Analytics Book PDF

Author : Judith S. Hurwitz,Marcia Kaufman,Adrian Bowles
Publisher : John Wiley & Sons
Page : 288 pages
File Size : 45,5 Mb
Release : 2015-02-12
Category : Computers
ISBN : 9781118896631

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Cognitive Computing and Big Data Analytics by Judith S. Hurwitz,Marcia Kaufman,Adrian Bowles Pdf

A comprehensive guide to learning technologies that unlock the value in big data Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book helps technologists understand cognitive computing's underlying technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches based on accumulated evidence, rather than reprogramming. Detailed case examples from the financial, healthcare, and manufacturing walk readers step-by-step through the design and testing of cognitive systems, and expert perspectives from organizations such as Cleveland Clinic, Memorial Sloan-Kettering, as well as commercial vendors that are creating solutions. These organizations provide insight into the real-world implementation of cognitive computing systems. The IBM Watson cognitive computing platform is described in a detailed chapter because of its significance in helping to define this emerging market. In addition, the book includes implementations of emerging projects from Qualcomm, Hitachi, Google and Amazon. Today's cognitive computing solutions build on established concepts from artificial intelligence, natural language processing, ontologies, and leverage advances in big data management and analytics. They foreshadow an intelligent infrastructure that enables a new generation of customer and context-aware smart applications in all industries. Cognitive Computing is a comprehensive guide to the subject, providing both the theoretical and practical guidance technologists need. Discover how cognitive computing evolved from promise to reality Learn the elements that make up a cognitive computing system Understand the groundbreaking hardware and software technologies behind cognitive computing Learn to evaluate your own application portfolio to find the best candidates for pilot projects Leverage cognitive computing capabilities to transform the organization Cognitive systems are rightly being hailed as the new era of computing. Learn how these technologies enable emerging firms to compete with entrenched giants, and forward-thinking established firms to disrupt their industries. Professionals who currently work with big data and analytics will see how cognitive computing builds on their foundation, and creates new opportunities. Cognitive Computing provides complete guidance to this new level of human-machine interaction.

Convergence of Deep Learning and Internet of Things: Computing and Technology

Kavitha, T.,Senbagavalli, G.,Koundal, Deepika,Guo, Yanhui,Jain, Deepak
Convergence of Deep Learning and Internet of Things Computing and Technology Book PDF

Author : Kavitha, T.,Senbagavalli, G.,Koundal, Deepika,Guo, Yanhui,Jain, Deepak
Publisher : IGI Global
Page : 371 pages
File Size : 52,6 Mb
Release : 2022-12-19
Category : Computers
ISBN : 9781668462775

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Convergence of Deep Learning and Internet of Things: Computing and Technology by Kavitha, T.,Senbagavalli, G.,Koundal, Deepika,Guo, Yanhui,Jain, Deepak Pdf

Digital technology has enabled a number of internet-enabled devices that generate huge volumes of data from different systems. This large amount of heterogeneous data requires efficient data collection, processing, and analytical methods. Deep Learning is one of the latest efficient and feasible solutions that enable smart devices to function independently with a decision-making support system. Convergence of Deep Learning and Internet of Things: Computing and Technology contributes to technology and methodology perspectives in the incorporation of deep learning approaches in solving a wide range of issues in the IoT domain to identify, optimize, predict, forecast, and control emerging IoT systems. Covering topics such as data quality, edge computing, and attach detection and prediction, this premier reference source is a comprehensive resource for electricians, communications specialists, mechanical engineers, civil engineers, computer scientists, students and educators of higher education, librarians, researchers, and academicians.

Information Granularity, Big Data, and Computational Intelligence

Witold Pedrycz,Shyi-Ming Chen
Information Granularity Big Data and Computational Intelligence Book PDF

Author : Witold Pedrycz,Shyi-Ming Chen
Publisher : Springer
Page : 444 pages
File Size : 40,7 Mb
Release : 2014-07-14
Category : Technology & Engineering
ISBN : 9783319082547

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Information Granularity, Big Data, and Computational Intelligence by Witold Pedrycz,Shyi-Ming Chen Pdf

The recent pursuits emerging in the realm of big data processing, interpretation, collection and organization have emerged in numerous sectors including business, industry and government organizations. Data sets such as customer transactions for a mega-retailer, weather monitoring, intelligence gathering, quickly outpace the capacities of traditional techniques and tools of data analysis. The 3V (volume, variability and velocity) challenges led to the emergence of new techniques and tools in data visualization, acquisition, and serialization. Soft Computing being regarded as a plethora of technologies of fuzzy sets (or Granular Computing), neurocomputing and evolutionary optimization brings forward a number of unique features that might be instrumental to the development of concepts and algorithms to deal with big data. This carefully edited volume provides the reader with an updated, in-depth material on the emerging principles, conceptual underpinnings, algorithms and practice of Computational Intelligence in the realization of concepts and implementation of big data architectures, analysis, and interpretation as well as data analytics. The book is aimed at a broad audience of researchers and practitioners including those active in various disciplines in which big data, their analysis and optimization are of genuine relevance. One focal point is the systematic exposure of the concepts, design methodology, and detailed algorithms. In general, the volume adheres to the top-down strategy starting with the concepts and motivation and then proceeding with the detailed design that materializes in specific algorithms and representative applications. The material is self-contained and provides the reader with all necessary prerequisites and augments some parts with a step-by-step explanation of more advanced concepts supported by a significant amount of illustrative numeric material and some application scenarios to motivate the reader and make some abstract concepts more tangible.

Big Data Computing

Tanvir Habib Sardar,Bishwajeet Kumar Pandey
Big Data Computing Book PDF

Author : Tanvir Habib Sardar,Bishwajeet Kumar Pandey
Publisher : CRC Press
Page : 397 pages
File Size : 42,5 Mb
Release : 2024-02-27
Category : Computers
ISBN : 9781003822721

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Big Data Computing by Tanvir Habib Sardar,Bishwajeet Kumar Pandey Pdf

This book primarily aims to provide an in-depth understanding of recent advances in big data computing technologies, methodologies, and applications along with introductory details of big data computing models such as Apache Hadoop, MapReduce, Hive, Pig, Mahout in-memory storage systems, NoSQL databases, and big data streaming services such as Apache Spark, Kafka, and so forth. It also covers developments in big data computing applications such as machine learning, deep learning, graph processing, and many others. Features: Provides comprehensive analysis of advanced aspects of big data challenges and enabling technologies. Explains computing models using real-world examples and dataset-based experiments. Includes case studies, quality diagrams, and demonstrations in each chapter. Describes modifications and optimization of existing technologies along with the novel big data computing models. Explores references to machine learning, deep learning, and graph processing. This book is aimed at graduate students and researchers in high-performance computing, data mining, knowledge discovery, and distributed computing.

Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things

Mishra, Divya Upadhyay,Sharma, Shanu
Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things Book PDF

Author : Mishra, Divya Upadhyay,Sharma, Shanu
Publisher : IGI Global
Page : 298 pages
File Size : 53,8 Mb
Release : 2022-09-23
Category : Computers
ISBN : 9781668449936

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Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things by Mishra, Divya Upadhyay,Sharma, Shanu Pdf

With the development of innovative technologies, the study of industrial automation is obtaining extraordinary attention from academia, governments, researchers, and various industrial communities. The technical innovations in advanced technologies such as deep learning, blockchain, artificial intelligence of things (AIOT), and more have unlocked the potential for bringing intelligent automation and efficiency to the industries to control their various operations. These new technologies provide an efficient and secure way for industries to manage and develop products intelligently. Revolutionizing Industrial Automation Through the Convergence of Artificial Intelligence and the Internet of Things includes the recent advancements in exploring and developing AIOT-powered strategies and mechanisms for future industrial automation and transforming industrial functions and architectures to help improve various industrial operations. Covering topics such as convolutional neural networks, smart urban logistics, and industrial automation, this premier reference source is an excellent resource for computer scientists, IT managers, engineers, business leaders and executives, logistics managers, students and faculty of higher education, libraries, researchers, and academicians.

Research Advances in the Integration of Big Data and Smart Computing

Mallick, Pradeep Kumar
Research Advances in the Integration of Big Data and Smart Computing Book PDF

Author : Mallick, Pradeep Kumar
Publisher : IGI Global
Page : 374 pages
File Size : 53,5 Mb
Release : 2015-10-13
Category : Computers
ISBN : 9781466687387

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Research Advances in the Integration of Big Data and Smart Computing by Mallick, Pradeep Kumar Pdf

The volume, complexity, and irregularity of computational data in modern algorithms and simulations necessitates an unorthodox approach to computing. Understanding the facets and possibilities of soft computing algorithms is necessary for the accurate and timely processing of complex data. Research Advances in the Integration of Big Data and Smart Computing builds on the available literature in the realm of Big Data while providing further research opportunities in this dynamic field. This publication provides the resources necessary for technology developers, scientists, and policymakers to adopt and implement new paradigms in computational methods across the globe. The chapters in this publication advance the body of knowledge on soft computing techniques through topics such as transmission control protocol for mobile ad hoc networks, feature extraction, comparative analysis of filtering techniques, big data in economic policy, and advanced dimensionality reduction methods.

Data Science and Big Data Analytics

Durgesh Kumar Mishra,Xin-She Yang,Aynur Unal
Data Science and Big Data Analytics Book PDF

Author : Durgesh Kumar Mishra,Xin-She Yang,Aynur Unal
Publisher : Springer
Page : 406 pages
File Size : 47,7 Mb
Release : 2018-08-01
Category : Technology & Engineering
ISBN : 9789811076411

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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.

Computational Intelligence for Big Data Analysis

D.P. Acharjya,Satchidananda Dehuri,Sugata Sanyal
Computational Intelligence for Big Data Analysis Book PDF

Author : D.P. Acharjya,Satchidananda Dehuri,Sugata Sanyal
Publisher : Springer
Page : 267 pages
File Size : 48,5 Mb
Release : 2015-04-21
Category : Technology & Engineering
ISBN : 9783319165981

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Computational Intelligence for Big Data Analysis by D.P. Acharjya,Satchidananda Dehuri,Sugata Sanyal Pdf

The work presented in this book is a combination of theoretical advancements of big data analysis, cloud computing, and their potential applications in scientific computing. The theoretical advancements are supported with illustrative examples and its applications in handling real life problems. The applications are mostly undertaken from real life situations. The book discusses major issues pertaining to big data analysis using computational intelligence techniques and some issues of cloud computing. An elaborate bibliography is provided at the end of each chapter. The material in this book includes concepts, figures, graphs, and tables to guide researchers in the area of big data analysis and cloud computing.

Big Data Analytics and Computational Intelligence for Cybersecurity

Mariya Ouaissa,Zakaria Boulouard,Mariyam Ouaissa,Inam Ullah Khan,Mohammed Kaosar
Big Data Analytics and Computational Intelligence for Cybersecurity Book PDF

Author : Mariya Ouaissa,Zakaria Boulouard,Mariyam Ouaissa,Inam Ullah Khan,Mohammed Kaosar
Publisher : Springer Nature
Page : 336 pages
File Size : 43,6 Mb
Release : 2022-09-01
Category : Computers
ISBN : 9783031057526

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Big Data Analytics and Computational Intelligence for Cybersecurity by Mariya Ouaissa,Zakaria Boulouard,Mariyam Ouaissa,Inam Ullah Khan,Mohammed Kaosar Pdf

This book presents a collection of state-of-the-art artificial intelligence and big data analytics approaches to cybersecurity intelligence. It illustrates the latest trends in AI/ML-based strategic defense mechanisms against malware, vulnerabilities, cyber threats, as well as proactive countermeasures. It also introduces other trending technologies, such as blockchain, SDN, and IoT, and discusses their possible impact on improving security. The book discusses the convergence of AI/ML and big data in cybersecurity by providing an overview of theoretical, practical, and simulation concepts of computational intelligence and big data analytics used in different approaches of security. It also displays solutions that will help analyze complex patterns in user data and ultimately improve productivity. This book can be a source for researchers, students, and practitioners interested in the fields of artificial intelligence, cybersecurity, data analytics, and recent trends of networks.

Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence

Chowdhary, Chiranji Lal
Multidisciplinary Applications of Deep Learning Based Artificial Emotional Intelligence Book PDF

Author : Chowdhary, Chiranji Lal
Publisher : IGI Global
Page : 315 pages
File Size : 42,9 Mb
Release : 2022-10-21
Category : Computers
ISBN : 9781668456750

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Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence by Chowdhary, Chiranji Lal Pdf

Emotional intelligence has emerged as an important area of research in the artificial intelligence field as it covers a wide range of real-life domains. Though machines may never need all the emotional skills that people need, there is evidence to suggest that machines require at least some of these skills to appear intelligent when interacting with people. To understand how deep learning-based emotional intelligence can be applied and utilized across industries, further study on its opportunities and future directions is required. Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence explores artificial intelligence applications, such as machine and deep learning, in emotional intelligence and examines their use towards attaining emotional intelligence acceleration and augmentation. It provides research on tools used to simplify and streamline the formation of deep learning for system architects and designers. Covering topics such as data analytics, deep learning, knowledge management, and virtual emotional intelligence, this reference work is ideal for computer scientists, engineers, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era

Srinivasan, A.
Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era Book PDF

Author : Srinivasan, A.
Publisher : IGI Global
Page : 467 pages
File Size : 42,9 Mb
Release : 2022-10-21
Category : Computers
ISBN : 9781799888949

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Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era by Srinivasan, A. Pdf

In recent decades, there has been an increasing interest in using machine learning and, in the last few years, deep learning methods combined with other vision and image processing techniques to create systems that solve vision problems in different fields. There is a need for academicians, developers, and industry-related researchers to present, share, and explore traditional and new areas of computer vision, machine learning, deep learning, and their combinations to solve problems. The Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era is designed to serve researchers and developers by sharing original, innovative, and state-of-the-art algorithms and architectures for applications in the areas of computer vision, image processing, biometrics, virtual and augmented reality, and more. It integrates the knowledge of the growing international community of researchers working on the application of machine learning and deep learning methods in vision and robotics. Covering topics such as brain tumor detection, heart disease prediction, and medical image detection, this premier reference source is an exceptional resource for medical professionals, faculty and students of higher education, business leaders and managers, librarians, government officials, researchers, and academicians.