Big Data In Cognitive Science

Big Data In Cognitive Science 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 In Cognitive Science book. This book definitely worth reading, it is an incredibly well-written.

Big Data in Cognitive Science

Michael N. Jones
Big Data in Cognitive Science Book PDF

Author : Michael N. Jones
Publisher : Psychology Press
Page : 384 pages
File Size : 50,6 Mb
Release : 2016-11-03
Category : Computers
ISBN : 9781315413563

Get Book

Big Data in Cognitive Science by Michael N. Jones Pdf

While laboratory research is the backbone of collecting experimental data in cognitive science, a rapidly increasing amount of research is now capitalizing on large-scale and real-world digital data. Each piece of data is a trace of human behavior and offers us a potential clue to understanding basic cognitive principles. However, we have to be able to put the pieces together in a reasonable way, which necessitates both advances in our theoretical models and development of new methodological techniques. The primary goal of this volume is to present cutting-edge examples of mining large-scale and naturalistic data to discover important principles of cognition and evaluate theories that would not be possible without such a scale. This book also has a mission to stimulate cognitive scientists to consider new ways to harness big data in order to enhance our understanding of fundamental cognitive processes. Finally, this book aims to warn of the potential pitfalls of using, or being over-reliant on, big data and to show how big data can work alongside traditional, rigorously gathered experimental data rather than simply supersede it. In sum, this groundbreaking volume presents cognitive scientists and those in related fields with an exciting, detailed, stimulating, and realistic introduction to big data – and to show how it may greatly advance our understanding of the principles of human memory, perception, categorization, decision-making, language, problem-solving, and representation.

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 : 44,8 Mb
Release : 2015-02-12
Category : Computers
ISBN : 9781118896631

Get Book

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.

Cognitive Big Data Intelligence with a Metaheuristic Approach

Sushruta Mishra,Hrudaya Kumar Tripathy,Pradeep Kumar Mallick,Arun Kumar Sangaiah,Gyoo-Soo Chae
Cognitive Big Data Intelligence with a Metaheuristic Approach Book PDF

Author : Sushruta Mishra,Hrudaya Kumar Tripathy,Pradeep Kumar Mallick,Arun Kumar Sangaiah,Gyoo-Soo Chae
Publisher : Academic Press
Page : 374 pages
File Size : 43,8 Mb
Release : 2021-11-09
Category : Computers
ISBN : 9780323851183

Get Book

Cognitive Big Data Intelligence with a Metaheuristic Approach by Sushruta Mishra,Hrudaya Kumar Tripathy,Pradeep Kumar Mallick,Arun Kumar Sangaiah,Gyoo-Soo Chae Pdf

Cognitive Big Data Intelligence with a Metaheuristic Approach presents an exact and compact organization of content relating to the latest metaheuristics methodologies based on new challenging big data application domains and cognitive computing. The combined model of cognitive big data intelligence with metaheuristics methods can be used to analyze emerging patterns, spot business opportunities, and take care of critical process-centric issues in real-time. Various real-time case studies and implemented works are discussed in this book for better understanding and additional clarity. This book presents an essential platform for the use of cognitive technology in the field of Data Science. It covers metaheuristic methodologies that can be successful in a wide variety of problem settings in big data frameworks. Provides a unique opportunity to present the work on the state-of-the-art of metaheuristics approach in the area of big data processing developing automated and intelligent models Explains different, feasible applications and case studies where cognitive computing can be successfully implemented in big data analytics using metaheuristics algorithms Provides a snapshot of the latest advances in the contribution of metaheuristics frameworks in cognitive big data applications to solve optimization problems

Big-Data Analytics for Cloud, IoT and Cognitive Computing

Kai Hwang,Min Chen
Big Data Analytics for Cloud IoT and Cognitive Computing Book PDF

Author : Kai Hwang,Min Chen
Publisher : John Wiley & Sons
Page : 432 pages
File Size : 49,6 Mb
Release : 2017-03-17
Category : Computers
ISBN : 9781119247296

Get Book

Big-Data Analytics for Cloud, IoT and Cognitive Computing by Kai Hwang,Min Chen Pdf

The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data computing. Big data analytics and cognitive machine learning, as well as cloud architecture, IoT and cognitive systems are explored, and mobile cloud-IoT-interaction frameworks are illustrated with concrete system design examples. Part 2 is devoted to the principles of and algorithms for machine learning, data analytics and deep learning in big data applications. Part 3 concentrates on cloud programming software libraries from MapReduce to Hadoop, Spark and TensorFlow and describes business, educational, healthcare and social media applications for those tools. The first book describing a practical approach to integrating social, mobile, analytics, cloud and IoT (SMACT) principles and technologies Covers theory and computing techniques and technologies, making it suitable for use in both computer science and electrical engineering programs Offers an extremely well-informed vision of future intelligent and cognitive computing environments integrating SMACT technologies Fully illustrated throughout with examples, figures and approximately 150 problems to support and reinforce learning Features a companion website with an instructor manual and PowerPoint slides www.wiley.com/go/hwangIOT Big-Data Analytics for Cloud, IoT and Cognitive Computing satisfies the demand among university faculty and students for cutting-edge information on emerging intelligent and cognitive computing systems and technologies. Professionals working in data science, cloud computing and IoT applications will also find this book to be an extremely useful working resource.

Big Data Analytics in Cognitive Social Media and Literary Texts

Sanjiv Sharma,Valiur Rahaman,G. R. Sinha
Big Data Analytics in Cognitive Social Media and Literary Texts Book PDF

Author : Sanjiv Sharma,Valiur Rahaman,G. R. Sinha
Publisher : Springer Nature
Page : 316 pages
File Size : 46,9 Mb
Release : 2021-10-10
Category : Language Arts & Disciplines
ISBN : 9789811647291

Get Book

Big Data Analytics in Cognitive Social Media and Literary Texts by Sanjiv Sharma,Valiur Rahaman,G. R. Sinha Pdf

This book provides a comprehensive overview of the theory and praxis of Big Data Analytics and how these are used to extract cognition-related information from social media and literary texts. It presents analytics that transcends the borders of discipline-specific academic research and focuses on knowledge extraction, prediction, and decision-making in the context of individual, social, and national development. The content is divided into three main sections: the first of which discusses various approaches associated with Big Data Analytics, while the second addresses the security and privacy of big data in social media, and the last focuses on the literary text as the literary data in Big Data Analytics. Sharing valuable insights into the etiology behind human cognition and its reflection in social media and literary texts, the book benefits all those interested in analytics that can be applied to literature, history, philosophy, linguistics, literary theory, media & communication studies and computational/digital humanities.

Cognitive Analytics: Concepts, Methodologies, Tools, and Applications

Management Association, Information Resources
Cognitive Analytics Concepts Methodologies Tools and Applications Book PDF

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1961 pages
File Size : 44,8 Mb
Release : 2020-03-06
Category : Science
ISBN : 9781799824619

Get Book

Cognitive Analytics: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf

Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries, including business and healthcare. It is necessary to develop specific software programs that can analyze and interpret large amounts of data quickly in order to ensure adequate usage and predictive results. Cognitive Analytics: Concepts, Methodologies, Tools, and Applications provides emerging perspectives on the theoretical and practical aspects of data analysis tools and techniques. It also examines the incorporation of pattern management as well as decision-making and prediction processes through the use of data management and analysis. Highlighting a range of topics such as natural language processing, big data, and pattern recognition, this multi-volume book is ideally designed for information technology professionals, software developers, data analysts, graduate-level students, researchers, computer engineers, software engineers, IT specialists, and academicians.

Neural Data Science

Erik Lee Nylen,Pascal Wallisch
Neural Data Science Book PDF

Author : Erik Lee Nylen,Pascal Wallisch
Publisher : Academic Press
Page : 370 pages
File Size : 53,7 Mb
Release : 2017-02-24
Category : Science
ISBN : 9780128040980

Get Book

Neural Data Science by Erik Lee Nylen,Pascal Wallisch Pdf

A Primer with MATLAB® and PythonTM present important information on the emergence of the use of Python, a more general purpose option to MATLAB, the preferred computation language for scientific computing and analysis in neuroscience. This book addresses the snake in the room by providing a beginner’s introduction to the principles of computation and data analysis in neuroscience, using both Python and MATLAB, giving readers the ability to transcend platform tribalism and enable coding versatility. Includes discussions of both MATLAB and Python in parallel Introduces the canonical data analysis cascade, standardizing the data analysis flow Presents tactics that strategically, tactically, and algorithmically help improve the organization of code

Cognitive Informatics, Computer Modelling, and Cognitive Science

G. R. Sinha,Jasjit S. Suri
Cognitive Informatics Computer Modelling and Cognitive Science Book PDF

Author : G. R. Sinha,Jasjit S. Suri
Publisher : Academic Press
Page : 408 pages
File Size : 54,8 Mb
Release : 2020-04-08
Category : Technology & Engineering
ISBN : 9780128194461

Get Book

Cognitive Informatics, Computer Modelling, and Cognitive Science by G. R. Sinha,Jasjit S. Suri Pdf

Cognitive Informatics, Computer Modelling, and Cognitive Science: Volume Two, Application to Neural Engineering, Robotics, and STEM presents the practical, real-world applications of Cognitive Science to help readers understand how it can help them in their research, engineering and academic pursuits. The book is presented in two volumes, covering Introduction and Theoretical Background, Philosophical and Psychological Theory, and Cognitive Informatics and Computing. Volume Two includes Statistics for Cognitive Science, Cognitive Applications and STEM Case Studies. Other sections cover Cognitive Informatics, Computer Modeling and Cognitive Science: Application to Neural Engineering, Robotics, and STEM. The book's authors discuss the current status of research in the field of Cognitive Science, including cognitive language processing that paves the ways for developing numerous tools for helping physically challenged persons, and more. Identifies how foundational theories and concepts in cognitive science are applicable in other fields Includes a comprehensive review of cognitive science applications in multiple domains, applying it to neural engineering, robotics, computer science and STEM Presents basic statistics and cognitive maps, testing strategies of hypothesis, maximum likelihood estimator, Bayesian statistics, and discrete probability models of neural computation Contains in-depth technical coverage of cognitive applications and case studies, including neuro-computing, brain modeling, cognitive ability and cognitive robots

Big Data in Psychological Research

Sang Eun Woo,Louis Tay,Robert W. Proctor
Big Data in Psychological Research Book PDF

Author : Sang Eun Woo,Louis Tay,Robert W. Proctor
Publisher : American Psychological Association (APA)
Page : 0 pages
File Size : 51,7 Mb
Release : 2020
Category : Psychology
ISBN : 1433831678

Get Book

Big Data in Psychological Research by Sang Eun Woo,Louis Tay,Robert W. Proctor Pdf

Big Data in Psychological Research provides an overview of big data theory, research design and analysis, collection methods, applications, ethical concerns, best practices, and future research directions for psychologists.

Big-Data Analytics for Cloud, IoT and Cognitive Computing

Kai Hwang,Min Chen
Big Data Analytics for Cloud IoT and Cognitive Computing Book PDF

Author : Kai Hwang,Min Chen
Publisher : John Wiley & Sons
Page : 428 pages
File Size : 55,9 Mb
Release : 2017-08-14
Category : Computers
ISBN : 9781119247029

Get Book

Big-Data Analytics for Cloud, IoT and Cognitive Computing by Kai Hwang,Min Chen Pdf

The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data computing. Big data analytics and cognitive machine learning, as well as cloud architecture, IoT and cognitive systems are explored, and mobile cloud-IoT-interaction frameworks are illustrated with concrete system design examples. Part 2 is devoted to the principles of and algorithms for machine learning, data analytics and deep learning in big data applications. Part 3 concentrates on cloud programming software libraries from MapReduce to Hadoop, Spark and TensorFlow and describes business, educational, healthcare and social media applications for those tools. The first book describing a practical approach to integrating social, mobile, analytics, cloud and IoT (SMACT) principles and technologies Covers theory and computing techniques and technologies, making it suitable for use in both computer science and electrical engineering programs Offers an extremely well-informed vision of future intelligent and cognitive computing environments integrating SMACT technologies Fully illustrated throughout with examples, figures and approximately 150 problems to support and reinforce learning Features a companion website with an instructor manual and PowerPoint slides www.wiley.com/go/hwangIOT Big-Data Analytics for Cloud, IoT and Cognitive Computing satisfies the demand among university faculty and students for cutting-edge information on emerging intelligent and cognitive computing systems and technologies. Professionals working in data science, cloud computing and IoT applications will also find this book to be an extremely useful working resource.

Cognitive Science and Artificial Intelligence

Sasikumar Gurumoorthy,Bangole Narendra Kumar Rao,Xiao-Zhi Gao
Cognitive Science and Artificial Intelligence Book PDF

Author : Sasikumar Gurumoorthy,Bangole Narendra Kumar Rao,Xiao-Zhi Gao
Publisher : Springer
Page : 112 pages
File Size : 54,6 Mb
Release : 2017-12-22
Category : Technology & Engineering
ISBN : 9789811066986

Get Book

Cognitive Science and Artificial Intelligence by Sasikumar Gurumoorthy,Bangole Narendra Kumar Rao,Xiao-Zhi Gao Pdf

This book presents interdisciplinary research on cognition, mind and behavior from an information processing perspective. It includes chapters on Artificial Intelligence, Decision Support Systems, Machine Learning, Data Mining and Support Vector Machines, chiefly with regard to the data obtained and analyzed in Medical Informatics, Bioinformatics and related disciplines. The book reflects the state-of-the-art in Artificial Intelligence and Cognitive Science, and covers theory, algorithms, numerical simulation, error and uncertainty analysis, as well novel applications of new processing techniques in Biomedical Informatics, Computer Science and its applied areas. As such, it offers a valuable resource for students and researchers from the fields of Computer Science and Engineering in Medicine and Biology.

The Oxford Handbook of Cognitive Science

Susan F. Chipman
The Oxford Handbook of Cognitive Science Book PDF

Author : Susan F. Chipman
Publisher : Oxford University Press
Page : 393 pages
File Size : 42,9 Mb
Release : 2017
Category : Language Arts & Disciplines
ISBN : 9780199842193

Get Book

The Oxford Handbook of Cognitive Science by Susan F. Chipman Pdf

The Oxford Handbook of Cognitive Science emphasizes the research and theory most central to modern cognitive science: computational theories of complex human cognition. Additional facets of cognitive science are discussed in the handbook's introductory chapter.

Artificial Intelligence for Big Data

Anand Deshpande,Manish Kumar
Artificial Intelligence for Big Data Book PDF

Author : Anand Deshpande,Manish Kumar
Publisher : Packt Publishing Ltd
Page : 371 pages
File Size : 40,8 Mb
Release : 2018-05-22
Category : Computers
ISBN : 9781788476010

Get Book

Artificial Intelligence for Big Data by Anand Deshpande,Manish Kumar Pdf

Build next-generation Artificial Intelligence systems with Java Key Features Implement AI techniques to build smart applications using Deeplearning4j Perform big data analytics to derive quality insights using Spark MLlib Create self-learning systems using neural networks, NLP, and reinforcement learning Book Description In this age of big data, companies have larger amount of consumer data than ever before, far more than what the current technologies can ever hope to keep up with. However, Artificial Intelligence closes the gap by moving past human limitations in order to analyze data. With the help of Artificial Intelligence for big data, you will learn to use Machine Learning algorithms such as k-means, SVM, RBF, and regression to perform advanced data analysis. You will understand the current status of Machine and Deep Learning techniques to work on Genetic and Neuro-Fuzzy algorithms. In addition, you will explore how to develop Artificial Intelligence algorithms to learn from data, why they are necessary, and how they can help solve real-world problems. By the end of this book, you'll have learned how to implement various Artificial Intelligence algorithms for your big data systems and integrate them into your product offerings such as reinforcement learning, natural language processing, image recognition, genetic algorithms, and fuzzy logic systems. What you will learn Manage Artificial Intelligence techniques for big data with Java Build smart systems to analyze data for enhanced customer experience Learn to use Artificial Intelligence frameworks for big data Understand complex problems with algorithms and Neuro-Fuzzy systems Design stratagems to leverage data using Machine Learning process Apply Deep Learning techniques to prepare data for modeling Construct models that learn from data using open source tools Analyze big data problems using scalable Machine Learning algorithms Who this book is for This book is for you if you are a data scientist, big data professional, or novice who has basic knowledge of big data and wish to get proficiency in Artificial Intelligence techniques for big data. Some competence in mathematics is an added advantage in the field of elementary linear algebra and calculus.

Cognitive Computing in Technology-Enhanced Learning

Lytras, Miltiadis D.,Aljohani, Naif,Daniela, Linda,Visvizi, Anna
Cognitive Computing in Technology Enhanced Learning Book PDF

Author : Lytras, Miltiadis D.,Aljohani, Naif,Daniela, Linda,Visvizi, Anna
Publisher : IGI Global
Page : 345 pages
File Size : 53,9 Mb
Release : 2019-05-31
Category : Education
ISBN : 9781522590323

Get Book

Cognitive Computing in Technology-Enhanced Learning by Lytras, Miltiadis D.,Aljohani, Naif,Daniela, Linda,Visvizi, Anna Pdf

Various technologies and applications such as cognitive computing, artificial intelligence, and learning analytics have received increased attention in recent years. The growing demand behind their adoption and exploitation in different application contexts has captured the attention of learning technology specialists, computer engineers, and business researchers who are attempting to decipher the phenomenon of personalized e-learning, its relation to already conducted research, and its implications for new research opportunities that effect innovations in teaching. Cognitive Computing in Technology-Enhanced Learning is a critical resource publication that aims to demonstrate state-of-the-art approaches of advanced data mining systems in e-learning, such as MOOCs and other innovative technologies, to improve learning analytics, as well as to show how new and advanced user interaction designs, educational models, and adoptive strategies can expand sustainability in applied learning technologies. Highlighting a range of topics such as augmented reality, ethics, and online learning environments, this book is ideal for educators, instructional designers, higher education faculty, school administrators, academicians, researchers, and students.

3rd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing

Anandakumar Haldorai,Arulmurugan Ramu,Sudha Mohanram,Joan Lu
3rd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing Book PDF

Author : Anandakumar Haldorai,Arulmurugan Ramu,Sudha Mohanram,Joan Lu
Publisher : Springer Nature
Page : 258 pages
File Size : 51,6 Mb
Release : 2022-01-01
Category : Technology & Engineering
ISBN : 9783030787509

Get Book

3rd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing by Anandakumar Haldorai,Arulmurugan Ramu,Sudha Mohanram,Joan Lu Pdf

This book features the proceedings of The EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2020), which took place 18 – 19 December 2020. The papers feature detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on technologies from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform.