Deep Learning Innovations and Their Convergence With Big Data Book

Deep Learning Innovations and Their Convergence With Big Data


  • Author : Karthik, S.
  • Publisher : IGI Global
  • Release Date : 2017-07-13
  • Genre: Computers
  • Pages : 265
  • ISBN 10 : 9781522530169

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Deep Learning Innovations and Their Convergence With Big Data Excerpt :

The expansion of digital data has transformed various sectors of business such as healthcare, industrial manufacturing, and transportation. A new way of solving business problems has emerged through the use of machine learning techniques in conjunction with big data analytics. Deep Learning Innovations and Their Convergence With Big Data is a pivotal reference for the latest scholarly research on upcoming trends in data analytics and potential technologies that will facilitate insight in various domains of science, industry, business, and consumer applications. Featuring extensive coverage on a broad range of topics and perspectives such as deep neural network, domain adaptation modeling, and threat detection, this book is ideally designed for researchers, professionals, and students seeking current research on the latest trends in the field of deep learning techniques in big data analytics.

Deep Learning  Convergence to Big Data Analytics Book

Deep Learning Convergence to Big Data Analytics


  • Author : Murad Khan
  • Publisher : Springer
  • Release Date : 2018-12-30
  • Genre: Computers
  • Pages : 79
  • ISBN 10 : 9789811334597

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Deep Learning Convergence to Big Data Analytics Excerpt :

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.

AI and Big Data   s Potential for Disruptive Innovation Book

AI and Big Data s Potential for Disruptive Innovation


  • Author : Strydom, Moses
  • Publisher : IGI Global
  • Release Date : 2019-09-27
  • Genre: Computers
  • Pages : 405
  • ISBN 10 : 9781522596899

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AI and Big Data s Potential for Disruptive Innovation Excerpt :

Big data and artificial intelligence (AI) are at the forefront of technological advances that represent a potential transformational mega-trend—a new multipolar and innovative disruption. These technologies, and their associated management paradigm, are already rapidly impacting many industries and occupations, but in some sectors, the change is just beginning. Innovating ahead of emerging technologies is the new imperative for any organization that aspires to succeed in the next decade. Faced with the power of this AI movement, it is imperative to understand the dynamics and new codes required by the disruption and to adapt accordingly. AI and Big Data’s Potential for Disruptive Innovation provides emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative technologies in a variety of sectors including business, transportation, and healthcare. Featuring coverage on a broad range of topics such as semantic mapping, ethics in AI, and big data governance, this book is ideally designed for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research on the production of new and innovative mechanization and its disruptions.

Deep Learning and Neural Networks  Concepts  Methodologies  Tools  and Applications Book

Deep Learning and Neural Networks Concepts Methodologies Tools and Applications


  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release Date : 2019-10-11
  • Genre: Computers
  • Pages : 1671
  • ISBN 10 : 9781799804154

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Deep Learning and Neural Networks Concepts Methodologies Tools and Applications Excerpt :

Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries. It is necessary to develop new techniques for managing data in order to ensure adequate usage. Deep learning, a subset of artificial intelligence and machine learning, has been recognized in various real-world applications such as computer vision, image processing, and pattern recognition. The deep learning approach has opened new opportunities that can make such real-life applications and tasks easier and more efficient. Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications is a vital reference source that trends in data analytics and potential technologies that will facilitate insight in various domains of science, industry, business, and consumer applications. It also explores the latest concepts, algorithms, and techniques of deep learning and data mining and analysis. Highlighting a range of topics such as natural language processing, predictive analytics, and deep neural networks, this multi-volume book is ideally designed for computer engineers, software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the latest trends in the field of deep learning.

Intelligent Innovations in Multimedia Data Engineering and Management Book

Intelligent Innovations in Multimedia Data Engineering and Management


  • Author : Bhattacharyya, Siddhartha
  • Publisher : IGI Global
  • Release Date : 2018-09-07
  • Genre: Computers
  • Pages : 316
  • ISBN 10 : 9781522571087

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Intelligent Innovations in Multimedia Data Engineering and Management Excerpt :

With the ever-increasing volume of data, proper management of data is a challenging proposition to scientists and researchers, and given the vast storage space required, multimedia data is no exception in this regard. Scientists and researchers are investing great effort to discover new space-efficient methods for storage and archiving of this data. Intelligent Innovations in Multimedia Data Engineering and Management provides emerging research exploring the theoretical and practical aspects of storage systems and computing methods for large forms of data. Featuring coverage on a broad range of topics such as binary image, fuzzy logic, and metaheuristic algorithms, this book is ideally designed for computer engineers, IT professionals, technology developers, academicians, and researchers seeking current research on advancing strategies and computing techniques for various types of data.

Handbook of Research on Big Data Storage and Visualization Techniques Book

Handbook of Research on Big Data Storage and Visualization Techniques


  • Author : Segall, Richard S.
  • Publisher : IGI Global
  • Release Date : 2018-01-05
  • Genre: Computers
  • Pages : 917
  • ISBN 10 : 9781522531432

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Handbook of Research on Big Data Storage and Visualization Techniques Excerpt :

The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.

Predictive Analysis on Large Data for Actionable Knowledge  Emerging Research and Opportunities Book

Predictive Analysis on Large Data for Actionable Knowledge Emerging Research and Opportunities


  • Author : Usman, Muhammad
  • Publisher : IGI Global
  • Release Date : 2018-01-26
  • Genre: Computers
  • Pages : 177
  • ISBN 10 : 9781522550303

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Predictive Analysis on Large Data for Actionable Knowledge Emerging Research and Opportunities Excerpt :

Data analysis forms the basis of many modes of research ranging from scientific discoveries to governmental findings. With the advent of machine intelligence and neural networks, extracting and modeling, approaching data has been unimpeachably altered. These changes, seemingly small, affect the way societies organize themselves, deliver services, or interact with each other. Predictive Analysis on Large Data for Actionable Knowledge: Emerging Research and Opportunities provides emerging information on extraction and prediction patterns in data mining along with knowledge discovery. While highlighting the current issues in data extraction, readers will learn new methodologies comprising of different algorithms that automate the multidimensional schema that remove the manual processes. This book is a vital resource for researchers, academics, and those seeking new information on data mining techniques and trends.

Smart Cities and Artificial Intelligence Book

Smart Cities and Artificial Intelligence


  • Author : Christopher Grant Kirwan
  • Publisher : Unknown
  • Release Date : 2020-02
  • Genre: Political Science
  • Pages : 256
  • ISBN 10 : 9780128170243

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Smart Cities and Artificial Intelligence Excerpt :

Smart Cities and Artificial Intelligence offers a comprehensive view of how cities are evolving as smart ecosystems through the convergence of technologies incorporating machine learning and neural network capabilities, geospatial intelligence, data analytics & visualization, sensors, and smart connected objects to name a few. These recent advances in AI move us closer to developing operating systems that simulate human, machine, and environmental patterns from transportation infrastructure to communication networks. Understanding cities as real-time, living, dynamic systems coupled with new tools including generative design allows readers to plan, manage, and optimize city operations, making cities more efficient and sustainable with the ultimate goal of becoming self-regulating. Smart Cities and Artificial Intelligence provides a transdisciplinary, integrated approach, using theoretical and applied insights to examine how the digital and physical worlds are converging and how a new combination of human and machine intelligence is capable of transforming the experience of the urban environment. It provides a fresh holistic perspective on smart cities through an interconnect stream of theory, methodology, system architecture, and the application of Smart City Functions to define an integrated process of the design, planning, and implementation of smart cities.

Visibilities and Invisibilities in Smart Cities  Emerging Research and Opportunities Book

Visibilities and Invisibilities in Smart Cities Emerging Research and Opportunities


  • Author : McKenna, H. Patricia
  • Publisher : IGI Global
  • Release Date : 2021-06-11
  • Genre: Political Science
  • Pages : 289
  • ISBN 10 : 9781799838517

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Visibilities and Invisibilities in Smart Cities Emerging Research and Opportunities Excerpt :

Throughout history, humanity has sought the betterment of its communities. In the 21st century, humanity has technology on its side in the process of improving its cities. Smart cities make their improvements by gathering real-world data in real time. Still, there are many complexities that many do not catch—they are invisible. It is important to understand how people make sense at the urban level and in extra-urban spaces of the combined complexities of invisibilities and visibilities in their environments, interactions, and infrastructures enabled through their own enhanced awareness together with aware technologies that are often embedded, pervasive, and ambient. This book probes the visible and invisible dimensions of emerging understandings of smart cities and regions in the context of more aware people interacting with each other and through more aware and pervasive technologies. Visibilities and Invisibilities in Smart Cities: Emerging Research and Opportunities contributes to the research literature for urban theoretical spaces, methodologies, and applications for smart and responsive cities; the evolving of urban theory and methods for 21st century cities and urbanities; and the formulation of a conceptual framework for associated methodologies and theoretical spaces. This work explores the relationships between variables using a case study approach combined with an explanatory correlational design. It is based on an urban research study conducted from mid-2015 to mid-2020 that spanned multiple countries across three continents. The book is split into four sections: introduction to the concepts of visible and invisible, frameworks for understanding the interplay of the two concepts, associated and evolving theory and methods, and extending current research as opportunities in smart city environments and regions. Covering topics including human geography, smart cities, and urban planning, this book is essential for urban planners, designers, city officials,

Optimization Techniques for Problem Solving in Uncertainty Book

Optimization Techniques for Problem Solving in Uncertainty


  • Author : Tilahun, Surafel Luleseged
  • Publisher : IGI Global
  • Release Date : 2018-06-22
  • Genre: Computers
  • Pages : 313
  • ISBN 10 : 9781522550921

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Optimization Techniques for Problem Solving in Uncertainty Excerpt :

When it comes to optimization techniques, in some cases, the available information from real models may not be enough to construct either a probability distribution or a membership function for problem solving. In such cases, there are various theories that can be used to quantify the uncertain aspects. Optimization Techniques for Problem Solving in Uncertainty is a scholarly reference resource that looks at uncertain aspects involved in different disciplines and applications. Featuring coverage on a wide range of topics including uncertain preference, fuzzy multilevel programming, and metaheuristic applications, this book is geared towards engineers, managers, researchers, and post-graduate students seeking emerging research in the field of optimization.

Attractors and Higher Dimensions in Population and Molecular Biology  Emerging Research and Opportunities Book

Attractors and Higher Dimensions in Population and Molecular Biology Emerging Research and Opportunities


  • Author : Zhizhin, Gennadiy Vladimirovich
  • Publisher : IGI Global
  • Release Date : 2019-06-28
  • Genre: Science
  • Pages : 232
  • ISBN 10 : 9781522596530

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Attractors and Higher Dimensions in Population and Molecular Biology Emerging Research and Opportunities Excerpt :

In studying biology, one of the more difficult factors to predict is how parents’ attributes will affect their children and how those children will affect their own children. Organizing and calculating those vast statistics can become extremely tedious without the proper mathematical and reproductive knowledge. Attractors and Higher Dimensions in Population and Molecular Biology: Emerging Research and Opportunities is a collection of innovative research on the methods and applications of population logistics. While highlighting topics including gene analysis, crossbreeding, and reproduction, this book is ideally designed for academics, researchers, biologists, and mathematicians seeking current research on modeling the reproduction process of a biological population.

Predictive Modelling for Energy Management and Power Systems Engineering Book

Predictive Modelling for Energy Management and Power Systems Engineering


  • Author : Ravinesh Deo
  • Publisher : Elsevier
  • Release Date : 2020-09-30
  • Genre: Science
  • Pages : 552
  • ISBN 10 : 9780128177730

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Predictive Modelling for Energy Management and Power Systems Engineering Excerpt :

Predictive Modeling for Energy Management and Power Systems Engineering introduces readers to the cutting-edge use of big data and large computational infrastructures in energy demand estimation and power management systems. The book supports engineers and scientists who seek to become familiar with advanced optimization techniques for power systems designs, optimization techniques and algorithms for consumer power management, and potential applications of machine learning and artificial intelligence in this field. The book provides modeling theory in an easy-to-read format, verified with on-site models and case studies for specific geographic regions and complex consumer markets. Presents advanced optimization techniques to improve existing energy demand system Provides data-analytic models and their practical relevance in proven case studies Explores novel developments in machine-learning and artificial intelligence applied in energy management Provides modeling theory in an easy-to-read format

Human Behavior and Another Kind in Consciousness  Emerging Research and Opportunities Book

Human Behavior and Another Kind in Consciousness Emerging Research and Opportunities


  • Author : Sugiyama, Shigeki
  • Publisher : IGI Global
  • Release Date : 2019-04-12
  • Genre: Computers
  • Pages : 102
  • ISBN 10 : 9781522582182

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Human Behavior and Another Kind in Consciousness Emerging Research and Opportunities Excerpt :

New technological communication methods have created new kinds of interactions among us that have allowed people across the globe to become closer, but they have also created more complex global dynamics. These dynamics have expanded the workings of human behavior, making human-seeming artificial intelligence a more difficult goal to achieve. Human Behavior and Another Kind in Consciousness: Emerging Research and Opportunities is a crucial reference book that examines human consciousness and how it can translate into artificial intelligence. Covering important topics such as cloud computing, human behavior, and intelligent systems, this book is ideal for engineers, researchers, academicians, and students in the fields of computer science, artificial intelligence, operations research, and intelligent systems.

Cyber Warfare and Terrorism  Concepts  Methodologies  Tools  and Applications Book

Cyber Warfare and Terrorism Concepts Methodologies Tools and Applications


  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release Date : 2020-03-06
  • Genre: Computers
  • Pages : 1697
  • ISBN 10 : 9781799824671

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Cyber Warfare and Terrorism Concepts Methodologies Tools and Applications Excerpt :

Through the rise of big data and the internet of things, terrorist organizations have been freed from geographic and logistical confines and now have more power than ever before to strike the average citizen directly at home. This, coupled with the inherently asymmetrical nature of cyberwarfare, which grants great advantage to the attacker, has created an unprecedented national security risk that both governments and their citizens are woefully ill-prepared to face. Examining cyber warfare and terrorism through a critical and academic perspective can lead to a better understanding of its foundations and implications. Cyber Warfare and Terrorism: Concepts, Methodologies, Tools, and Applications is an essential reference for the latest research on the utilization of online tools by terrorist organizations to communicate with and recruit potential extremists and examines effective countermeasures employed by law enforcement agencies to defend against such threats. Highlighting a range of topics such as cyber threats, digital intelligence, and counterterrorism, this multi-volume book is ideally designed for law enforcement, government officials, lawmakers, security analysts, IT specialists, software developers, intelligence and security practitioners, students, educators, and researchers.