Nature Inspired Algorithms For Big Data Frameworks

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Nature-Inspired Algorithms for Big Data Frameworks

Author : Banati, Hema,Mehta, Shikha,Kaur, Parmeet
Publisher : IGI Global
Page : 412 pages
File Size : 41,8 Mb
Release : 2018-09-28
Category : Computers
ISBN : 9781522558538

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Nature-Inspired Algorithms for Big Data Frameworks by Banati, Hema,Mehta, Shikha,Kaur, Parmeet Pdf

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.

Nature Inspired Computing for Data Science

Author : Minakhi Rout,Jitendra Kumar Rout,Himansu Das
Publisher : Springer Nature
Page : 303 pages
File Size : 49,5 Mb
Release : 2019-11-26
Category : Computers
ISBN : 9783030338206

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Nature Inspired Computing for Data Science by Minakhi Rout,Jitendra Kumar Rout,Himansu Das Pdf

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.

Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing

Author : Simon James Fong,Richard C. Millham
Publisher : Springer Nature
Page : 228 pages
File Size : 42,5 Mb
Release : 2020-08-25
Category : Technology & Engineering
ISBN : 9789811566950

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Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing by Simon James Fong,Richard C. Millham Pdf

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.

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

Author : Zhizhin, Gennadiy Vladimirovich
Publisher : IGI Global
Page : 232 pages
File Size : 40,8 Mb
Release : 2019-06-28
Category : Science
ISBN : 9781522596530

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Attractors and Higher Dimensions in Population and Molecular Biology: Emerging Research and Opportunities by Zhizhin, Gennadiy Vladimirovich Pdf

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.

Research Anthology on Usage, Identity, and Impact of Social Media on Society and Culture

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1378 pages
File Size : 48,9 Mb
Release : 2022-06-10
Category : Computers
ISBN : 9781668463086

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Research Anthology on Usage, Identity, and Impact of Social Media on Society and Culture by Management Association, Information Resources Pdf

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

Author : Ajith Abraham,Mrutyunjaya Panda,Subhrajit Pradhan,Laura Garcia-Hernandez,Kun Ma
Publisher : Springer Nature
Page : 398 pages
File Size : 55,9 Mb
Release : 2020-08-05
Category : Technology & Engineering
ISBN : 9783030493394

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Innovations in Bio-Inspired Computing and Applications by Ajith Abraham,Mrutyunjaya Panda,Subhrajit Pradhan,Laura Garcia-Hernandez,Kun Ma Pdf

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

Author : Chakchai So In
Publisher : Springer Nature
Page : 609 pages
File Size : 55,8 Mb
Release : 2024-06-04
Category : Electronic
ISBN : 9789819986125

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Information Systems for Intelligent Systems by Chakchai So In Pdf

Predictive Intelligence Using Big Data and the Internet of Things

Author : Gupta, P.K.,Ören, Tuncer,Singh, Mayank
Publisher : IGI Global
Page : 300 pages
File Size : 55,9 Mb
Release : 2018-12-28
Category : Computers
ISBN : 9781522562115

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Predictive Intelligence Using Big Data and the Internet of Things by Gupta, P.K.,Ören, Tuncer,Singh, Mayank Pdf

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

Author : Tshilidzi Marwala,Collins Achepsah Leke
Publisher : World Scientific
Page : 321 pages
File Size : 43,7 Mb
Release : 2019-11-21
Category : Computers
ISBN : 9789811205682

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Handbook Of Machine Learning - Volume 2: Optimization And Decision Making by Tshilidzi Marwala,Collins Achepsah Leke Pdf

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.

Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms

Author : Milutinovi?, Veljko,Miti?, Nenad,Kartelj, Aleksandar,Kotlar, Miloš
Publisher : IGI Global
Page : 296 pages
File Size : 49,8 Mb
Release : 2022-03-11
Category : Computers
ISBN : 9781799883524

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Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms by Milutinovi?, Veljko,Miti?, Nenad,Kartelj, Aleksandar,Kotlar, Miloš Pdf

Based on current literature and cutting-edge advances in the machine learning field, there are four algorithms whose usage in new application domains must be explored: neural networks, rule induction algorithms, tree-based algorithms, and density-based algorithms. A number of machine learning related algorithms have been derived from these four algorithms. Consequently, they represent excellent underlying methods for extracting hidden knowledge from unstructured data, as essential data mining tasks. Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms presents widely used data-mining algorithms and explains their advantages and disadvantages, their mathematical treatment, applications, energy efficient implementations, and more. It presents research of energy efficient accelerators for machine learning algorithms. Covering topics such as control-flow implementation, approximate computing, and decision tree algorithms, this book is an essential resource for computer scientists, engineers, students and educators of higher education, researchers, and academicians.

Result Page Generation for Web Searching: Emerging Research and Opportunities

Author : Alli, Mostafa
Publisher : IGI Global
Page : 126 pages
File Size : 44,6 Mb
Release : 2020-12-18
Category : Computers
ISBN : 9781799809630

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Result Page Generation for Web Searching: Emerging Research and Opportunities by Alli, Mostafa Pdf

Diversity in user queries makes it challenging for search engines to effectively return a set of relevant results. Both user intentions to search the web and types of queries are vastly varied; consequently, horizontal and vertical search engines are developed to answer user queries more efficiently. However, these search engines present a variety of problems in web searching. Result Page Generation for Web Searching: Emerging Research and Opportunities is an essential reference publication that focuses on taking advantages from text and web mining in order to address the issues of recommendation and visualization in web searching. Highlighting a wide range of topics such as navigational searching, resource identification, and ambiguous queries, this book is ideally designed for computer engineers, web designers, programmers, academicians, researchers, and students.

Computational Intelligence in the Internet of Things

Author : Purnomo, Hindriyanto Dwi
Publisher : IGI Global
Page : 342 pages
File Size : 51,7 Mb
Release : 2019-03-15
Category : Computers
ISBN : 9781522579564

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Computational Intelligence in the Internet of Things by Purnomo, Hindriyanto Dwi Pdf

In recent years, the need for smart equipment has increased exponentially with the upsurge in technological advances. To work to their fullest capacity, these devices need to be able to communicate with other devices in their network to exchange information and receive instructions. Computational Intelligence in the Internet of Things is an essential reference source that provides relevant theoretical frameworks and the latest empirical research findings in the area of computational intelligence and the Internet of Things. Featuring research on topics such as data analytics, machine learning, and neural networks, this book is ideally designed for IT specialists, managers, professionals, researchers, and academicians.

Multi-Criteria Decision-Making Models for Website Evaluation

Author : Vatansever, Kemal,Akgül, Yakup
Publisher : IGI Global
Page : 254 pages
File Size : 50,5 Mb
Release : 2019-05-15
Category : Computers
ISBN : 9781522582397

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Multi-Criteria Decision-Making Models for Website Evaluation by Vatansever, Kemal,Akgül, Yakup Pdf

With almost every business application process being linked with a web portal, the website has become an integral part of any organization. Satisfying the end user’s needs is one of the key principles of designing an effective website. Because there are different users for any given website, there are different criteria that users want. Thus, evaluating a website is a multi-criteria decision-making problem in which the decision maker’s opinion should be considered for ranking the website. Multi-Criteria Decision-Making Models for Website Evaluation is a critical scholarly resource that covers the strategies needed to evaluate the navigability and efficacy of websites as promotional platforms for their companies. Featuring a wide range of topics including linguistic modelling, e-services, and site quality, this book is ideal for managers, executives, website designers, graphic artists, specialists, consultants, educationalists, researchers, and students.

Handbook of Research on Human-Computer Interfaces and New Modes of Interactivity

Author : Blashki, Katherine,Isaías, Pedro
Publisher : IGI Global
Page : 488 pages
File Size : 43,8 Mb
Release : 2019-05-31
Category : Computers
ISBN : 9781522590712

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Handbook of Research on Human-Computer Interfaces and New Modes of Interactivity by Blashki, Katherine,Isaías, Pedro Pdf

Due to its versatility and accessibility, individuals all around the world routinely use various forms of technology to interact with one another. Over the years, the design and development of technologies and interfaces have increasingly aimed to improve the human-computer interactive experience in unimaginable ways. The Handbook of Research on Human-Computer Interfaces and New Modes of Interactivity is a collection of innovative research on the methods and applications of interactive technologies in the modern age. Highlighting topics including digital environments, sensory applications, and transmedia applications, this book is ideally designed for academicians, researchers, HCI developers, programmers, IT consultants, and media specialists seeking current research on the design, application, and advancement of different media technologies and interfaces that can support interaction across a wide range of users.

Machine Learning and Cognitive Science Applications in Cyber Security

Author : Khan, Muhammad Salman
Publisher : IGI Global
Page : 321 pages
File Size : 48,6 Mb
Release : 2019-05-15
Category : Computers
ISBN : 9781522581017

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Machine Learning and Cognitive Science Applications in Cyber Security by Khan, Muhammad Salman Pdf

In the past few years, with the evolution of advanced persistent threats and mutation techniques, sensitive and damaging information from a variety of sources have been exposed to possible corruption and hacking. Machine learning, artificial intelligence, predictive analytics, and similar disciplines of cognitive science applications have been found to have significant applications in the domain of cyber security. Machine Learning and Cognitive Science Applications in Cyber Security examines different applications of cognition that can be used to detect threats and analyze data to capture malware. Highlighting such topics as anomaly detection, intelligent platforms, and triangle scheme, this publication is designed for IT specialists, computer engineers, researchers, academicians, and industry professionals interested in the impact of machine learning in cyber security and the methodologies that can help improve the performance and reliability of machine learning applications.