Nature Inspired Algorithms For Big Data Frameworks


Nature Inspired Algorithms For Big Data Frameworks
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Nature Inspired Algorithms For Big Data Frameworks


Nature Inspired Algorithms For Big Data Frameworks
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Author : Banati, Hema
language : en
Publisher: IGI Global
Release Date : 2018-09-28

Nature Inspired Algorithms For Big Data Frameworks written by Banati, Hema and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-28 with Computers categories.


As technology continues to become more sophisticated, mimicking natural processes and phenomena becomes more of a reality. Continued research in the field of natural computing enables an understanding of the world around us, in addition to opportunities for manmade computing to mirror the natural processes and systems that have existed for centuries. Nature-Inspired Algorithms for Big Data Frameworks is a collection of innovative research on the methods and applications of extracting meaningful information from data using algorithms that are capable of handling the constraints of processing time, memory usage, and the dynamic and unstructured nature of data. Highlighting a range of topics including genetic algorithms, data classification, and wireless sensor networks, this book is ideally designed for computer engineers, software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the application of nature and biologically inspired algorithms for handling challenges posed by big data in diverse environments.



Bio Inspired Algorithms For Data Streaming And Visualization Big Data Management And Fog Computing


Bio Inspired Algorithms For Data Streaming And Visualization Big Data Management And Fog Computing
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Author : Simon James Fong
language : en
Publisher: Springer Nature
Release Date : 2020-08-25

Bio Inspired Algorithms For Data Streaming And Visualization Big Data Management And Fog Computing written by Simon James Fong and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-25 with Technology & Engineering categories.


This book aims to provide some insights into recently developed bio-inspired algorithms within recent emerging trends of fog computing, sentiment analysis, and data streaming as well as to provide a more comprehensive approach to the big data management from pre-processing to analytics to visualization phases. The subject area of this book is within the realm of computer science, notably algorithms (meta-heuristic and, more particularly, bio-inspired algorithms). Although application domains of these new algorithms may be mentioned, the scope of this book is not on the application of algorithms to specific or general domains but to provide an update on recent research trends for bio-inspired algorithms within a specific application domain or emerging area. These areas include data streaming, fog computing, and phases of big data management. One of the reasons for writing this book is that the bio-inspired approach does not receive much attention but shows considerable promise and diversity in terms of approach of many issues in big data and streaming. Some novel approaches of this book are the use of these algorithms to all phases of data management (not just a particular phase such as data mining or business intelligence as many books focus on); effective demonstration of the effectiveness of a selected algorithm within a chapter against comparative algorithms using the experimental method. Another novel approach is a brief overview and evaluation of traditional algorithms, both sequential and parallel, for use in data mining, in order to provide an overview of existing algorithms in use. This overview complements a further chapter on bio-inspired algorithms for data mining to enable readers to make a more suitable choice of algorithm for data mining within a particular context. In all chapters, references for further reading are provided, and in selected chapters, the author also include ideas for future research.



Nature Inspired Computing For Data Science


Nature Inspired Computing For Data Science
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Author : Minakhi Rout
language : en
Publisher: Springer Nature
Release Date : 2019-11-26

Nature Inspired Computing For Data Science written by Minakhi Rout and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-26 with Computers categories.


This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors.



Attractors And Higher Dimensions In Population And Molecular Biology Emerging Research And Opportunities


Attractors And Higher Dimensions In Population And Molecular Biology Emerging Research And Opportunities
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Author : Zhizhin, Gennadiy Vladimirovich
language : en
Publisher: IGI Global
Release Date : 2019-06-28

Attractors And Higher Dimensions In Population And Molecular Biology Emerging Research And Opportunities written by Zhizhin, Gennadiy Vladimirovich and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-28 with Science categories.


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.



Mathematical Foundations Of Nature Inspired Algorithms


Mathematical Foundations Of Nature Inspired Algorithms
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Author : Xin-She Yang
language : en
Publisher: Springer
Release Date : 2019-05-20

Mathematical Foundations Of Nature Inspired Algorithms written by Xin-She Yang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-20 with Mathematics categories.


This book presents a systematic approach to analyze nature-inspired algorithms. Beginning with an introduction to optimization methods and algorithms, this book moves on to provide a unified framework of mathematical analysis for convergence and stability. Specific nature-inspired algorithms include: swarm intelligence, ant colony optimization, particle swarm optimization, bee-inspired algorithms, bat algorithm, firefly algorithm, and cuckoo search. Algorithms are analyzed from a wide spectrum of theories and frameworks to offer insight to the main characteristics of algorithms and understand how and why they work for solving optimization problems. In-depth mathematical analyses are carried out for different perspectives, including complexity theory, fixed point theory, dynamical systems, self-organization, Bayesian framework, Markov chain framework, filter theory, statistical learning, and statistical measures. Students and researchers in optimization, operations research, artificial intelligence, data mining, machine learning, computer science, and management sciences will see the pros and cons of a variety of algorithms through detailed examples and a comparison of algorithms.



Research Anthology On Usage Identity And Impact Of Social Media On Society And Culture


Research Anthology On Usage Identity And Impact Of Social Media On Society And Culture
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2022-06-10

Research Anthology On Usage Identity And Impact Of Social Media On Society And Culture written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-10 with Computers categories.


Much of the world has access to internet and social media. The internet has quickly become a new hub for not only communication, but also community development. In most communities, people develop new cultural norms and identity development through social media usage. However, while these new lines of communication are helpful to many, challenges such as social media addiction, cyberbullying, and misinformation lurk on the internet and threaten forces both within and beyond the internet. The Research Anthology on Usage, Identity, and Impact of Social Media on Society and Culture is a comprehensive resource on the impact social media has on an individuals’ identity formation as well as its usage within society and cultures. It explores new research methodologies and findings into the behavior of users on social media as well as the effects of social media on society and culture as a whole. Covering topics such as cultural diversity, online deception, and youth impact, this major reference work is an essential resource for computer scientists, online community moderators, sociologists, business leaders and managers, marketers, advertising agencies, government officials, libraries, students and faculty of higher education, researchers, and academicians.



Innovations In Bio Inspired Computing And Applications


Innovations In Bio Inspired Computing And Applications
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Author : Ajith Abraham
language : en
Publisher: Springer Nature
Release Date : 2020-08-05

Innovations In Bio Inspired Computing And Applications written by Ajith Abraham and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-05 with Technology & Engineering categories.


This book highlights recent research on bio-inspired computing and its various innovative applications in information and communication technologies. It presents 38 high-quality papers from the 10th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2019) and 9th World Congress on Information and Communication Technologies (WICT 2019), which was held at GIET University, Gunupur, India, on December 16–18, 2019. As a premier conference, IBICA–WICT brings together researchers, engineers and practitioners whose work involves bio-inspired computing, computational intelligence and their applications in information security, real-world contexts, etc. Including contributions by authors from 18 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.



Information Systems For Intelligent Systems


Information Systems For Intelligent Systems
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Author : Chakchai So In
language : en
Publisher: Springer Nature
Release Date :

Information Systems For Intelligent Systems written by Chakchai So In and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Predictive Intelligence Using Big Data And The Internet Of Things


Predictive Intelligence Using Big Data And The Internet Of Things
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Author : Gupta, P.K.
language : en
Publisher: IGI Global
Release Date : 2018-12-28

Predictive Intelligence Using Big Data And The Internet Of Things written by Gupta, P.K. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-28 with Computers categories.


With the recent growth of big data and the internet of things (IoT), individuals can now upload, retrieve, store, and collect massive amounts of information to help drive decisions and optimize processes. Due to this, a new age of predictive computing is taking place, and data can now be harnessed to predict unknown occurrences or probabilities based on data collected in real time. Predictive Intelligence Using Big Data and the Internet of Things highlights state-of-the-art research on predictive intelligence using big data, the IoT, and related areas to ensure quality assurance and compatible IoT systems. Featuring coverage on predictive application scenarios to discuss these breakthroughs in real-world settings and various methods, frameworks, algorithms, and security concerns for predictive intelligence, this book is ideally designed for academicians, researchers, advanced-level students, and technology developers.



Handbook Of Machine Learning Volume 2 Optimization And Decision Making


Handbook Of Machine Learning Volume 2 Optimization And Decision Making
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Author : Tshilidzi Marwala
language : en
Publisher: World Scientific
Release Date : 2019-11-21

Handbook Of Machine Learning Volume 2 Optimization And Decision Making written by Tshilidzi Marwala and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-21 with Computers categories.


Building on , this volume on Optimization and Decision Making covers a range of algorithms and their applications. Like the first volume, it provides a starting point for machine learning enthusiasts as a comprehensive guide on classical optimization methods. It also provides an in-depth overview on how artificial intelligence can be used to define, disprove or validate economic modeling and decision making concepts.