Machine Learning And Computational Intelligence Techniques For Data Engineering

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Machine Learning and Computational Intelligence Techniques for Data Engineering

Pradeep Singh,Deepak Singh,Vivek Tiwari,Sanjay Misra
Machine Learning and Computational Intelligence Techniques for Data Engineering Book PDF

Author : Pradeep Singh,Deepak Singh,Vivek Tiwari,Sanjay Misra
Publisher : Springer Nature
Page : 885 pages
File Size : 40,5 Mb
Release : 2023-05-15
Category : Technology & Engineering
ISBN : 9789819900473

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Machine Learning and Computational Intelligence Techniques for Data Engineering by Pradeep Singh,Deepak Singh,Vivek Tiwari,Sanjay Misra Pdf

This book comprises the proceedings of the 4th International Conference on Machine Intelligence and Signal Processing (MISP2022). The contents of this book focus on research advancements in machine intelligence, signal processing, and applications. The book covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. It also includes the progress in signal processing to process the normal and abnormal categories of real-world signals such as signals generated from IoT devices, smart systems, speech, videos and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), electromyogram (EMG), etc. This book proves to be a valuable resource for those in academia and industry.

Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches

K. Gayathri Devi,Mamata Rath,Nguyen Thi Dieu Linh
Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches Book PDF

Author : K. Gayathri Devi,Mamata Rath,Nguyen Thi Dieu Linh
Publisher : CRC Press
Page : 250 pages
File Size : 50,9 Mb
Release : 2020-10-07
Category : Computers
ISBN : 9781000179514

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Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches by K. Gayathri Devi,Mamata Rath,Nguyen Thi Dieu Linh Pdf

Artificial Intelligence (AI), when incorporated with machine learning and deep learning algorithms, has a wide variety of applications today. This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve real-time decision-making problems. The book focuses on concepts and techniques used to run tasks in an automated manner. It discusses computational intelligence in the detection and diagnosis of clinical and biomedical images, covers the automation of a system through machine learning and deep learning approaches, presents data analytics and mining for decision-support applications, and includes case-based reasoning, natural language processing, computer vision, and AI approaches in real-time applications. Academic scientists, researchers, and students in the various domains of computer science engineering, electronics and communication engineering, and information technology, as well as industrial engineers, biomedical engineers, and management, will find this book useful. By the end of this book, you will understand the fundamentals of AI. Various case studies will develop your adaptive thinking to solve real-time AI problems. Features Includes AI-based decision-making approaches Discusses computational intelligence in the detection and diagnosis of clinical and biomedical images Covers automation of systems through machine learning and deep learning approaches and its implications to the real world Presents data analytics and mining for decision-support applications Offers case-based reasoning

Applied Machine Learning for Smart Data Analysis

Nilanjan Dey,Sanjeev Wagh,Parikshit N. Mahalle,Mohd. Shafi Pathan
Applied Machine Learning for Smart Data Analysis Book PDF

Author : Nilanjan Dey,Sanjeev Wagh,Parikshit N. Mahalle,Mohd. Shafi Pathan
Publisher : CRC Press
Page : 214 pages
File Size : 47,8 Mb
Release : 2019-05-20
Category : Computers
ISBN : 9780429804564

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Applied Machine Learning for Smart Data Analysis by Nilanjan Dey,Sanjeev Wagh,Parikshit N. Mahalle,Mohd. Shafi Pathan Pdf

The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Ontologies that are used in heterogeneous IoT environments have been discussed including interpretation, context awareness, analyzing various data sources, machine learning algorithms and intelligent services and applications. Further, it includes unsupervised and semi-supervised machine learning techniques with study of semantic analysis and thorough analysis of reviews. Divided into sections such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results. Key Features Follows an algorithmic approach for data analysis in machine learning Introduces machine learning methods in applications Address the emerging issues in computing such as deep learning, machine learning, Internet of Things and data analytics Focuses on machine learning techniques namely unsupervised and semi-supervised for unseen and seen data sets Case studies are covered relating to human health, transportation and Internet applications

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 : 48,8 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.

Advances in Artificial Intelligence and Data Engineering

Niranjan N. Chiplunkar,Takanori Fukao
Advances in Artificial Intelligence and Data Engineering Book PDF

Author : Niranjan N. Chiplunkar,Takanori Fukao
Publisher : Springer Nature
Page : 1456 pages
File Size : 42,7 Mb
Release : 2020-08-13
Category : Technology & Engineering
ISBN : 9789811535147

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Advances in Artificial Intelligence and Data Engineering by Niranjan N. Chiplunkar,Takanori Fukao Pdf

This book presents selected peer-reviewed papers from the International Conference on Artificial Intelligence and Data Engineering (AIDE 2019). The topics covered are broadly divided into four groups: artificial intelligence, machine vision and robotics, ambient intelligence, and data engineering. The book discusses recent technological advances in the emerging fields of artificial intelligence, machine learning, robotics, virtual reality, augmented reality, bioinformatics, intelligent systems, cognitive systems, computational intelligence, neural networks, evolutionary computation, speech processing, Internet of Things, big data challenges, data mining, information retrieval, and natural language processing. Given its scope, this book can be useful for students, researchers, and professionals interested in the growing applications of artificial intelligence and data engineering.

Computational Methods and Data Engineering

Vijendra Singh,Vijayan K. Asari,Sanjay Kumar,R. B. Patel
Computational Methods and Data Engineering Book PDF

Author : Vijendra Singh,Vijayan K. Asari,Sanjay Kumar,R. B. Patel
Publisher : Springer Nature
Page : 559 pages
File Size : 44,5 Mb
Release : 2020-11-04
Category : Technology & Engineering
ISBN : 9789811579073

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Computational Methods and Data Engineering by Vijendra Singh,Vijayan K. Asari,Sanjay Kumar,R. B. Patel Pdf

This book gathers selected high-quality research papers from the International Conference on Computational Methods and Data Engineering (ICMDE 2020), held at SRM University, Sonipat, Delhi-NCR, India. Focusing on cutting-edge technologies and the most dynamic areas of computational intelligence and data engineering, the respective contributions address topics including collective intelligence, intelligent transportation systems, fuzzy systems, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, and speech processing.

Recent Advances in Artificial Intelligence and Data Engineering

Pushparaj Shetty D.,Surendra Shetty
Recent Advances in Artificial Intelligence and Data Engineering Book PDF

Author : Pushparaj Shetty D.,Surendra Shetty
Publisher : Unknown
Page : 0 pages
File Size : 49,8 Mb
Release : 2022
Category : Electronic
ISBN : 9811633436

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Recent Advances in Artificial Intelligence and Data Engineering by Pushparaj Shetty D.,Surendra Shetty Pdf

This book presents select proceedings of the International Conference on Artificial Intelligence and Data Engineering (AIDE 2020). Various topics covered in this book include deep learning, neural networks, machine learning, computational intelligence, cognitive computing, fuzzy logic, expert systems, brain-machine interfaces, ant colony optimization, natural language processing, bioinformatics and computational biology, cloud computing, machine vision and robotics, ambient intelligence, intelligent transportation, sensing and sensor networks, big data challenge, data science, high performance computing, data mining and knowledge discovery, and data privacy and security. The book will be a valuable reference for beginners, researchers, and professionals interested in artificial intelligence, robotics and data engineering.

Computational Intelligence and Data Sciences

Ayodeji Olalekan Salau,Shruti Jain,Meenakshi Sood
Computational Intelligence and Data Sciences Book PDF

Author : Ayodeji Olalekan Salau,Shruti Jain,Meenakshi Sood
Publisher : CRC Press
Page : 272 pages
File Size : 49,8 Mb
Release : 2022-03-11
Category : Computers
ISBN : 9781000541755

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Computational Intelligence and Data Sciences by Ayodeji Olalekan Salau,Shruti Jain,Meenakshi Sood Pdf

This book presents futuristic trends in computational intelligence including algorithms as applicable to different application domains in health informatics covering bio-medical, bioinformatics, and biological sciences. Latest evolutionary approaches to solve optimization problems under biomedical engineering field are discussed. It provides conceptual framework with a focus on application of computational intelligence techniques in the domain of biomedical engineering and health informatics including real-time issues.

Recent Advances in Artificial Intelligence and Data Engineering

Pushparaj Shetty D.,Surendra Shetty
Recent Advances in Artificial Intelligence and Data Engineering Book PDF

Author : Pushparaj Shetty D.,Surendra Shetty
Publisher : Springer Nature
Page : 454 pages
File Size : 45,6 Mb
Release : 2021-10-31
Category : Computers
ISBN : 9789811633423

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Recent Advances in Artificial Intelligence and Data Engineering by Pushparaj Shetty D.,Surendra Shetty Pdf

This book presents select proceedings of the International Conference on Artificial Intelligence and Data Engineering (AIDE 2020). Various topics covered in this book include deep learning, neural networks, machine learning, computational intelligence, cognitive computing, fuzzy logic, expert systems, brain-machine interfaces, ant colony optimization, natural language processing, bioinformatics and computational biology, cloud computing, machine vision and robotics, ambient intelligence, intelligent transportation, sensing and sensor networks, big data challenge, data science, high performance computing, data mining and knowledge discovery, and data privacy and security. The book will be a valuable reference for beginners, researchers, and professionals interested in artificial intelligence, robotics and data engineering.

Proceedings of International Conference on Computational Intelligence and Data Engineering

Nabendu Chaki,Jerzy Pejas,Nagaraju Devarakonda,Ram Mohan Rao Kovvur
Proceedings of International Conference on Computational Intelligence and Data Engineering Book PDF

Author : Nabendu Chaki,Jerzy Pejas,Nagaraju Devarakonda,Ram Mohan Rao Kovvur
Publisher : Springer Nature
Page : 470 pages
File Size : 44,7 Mb
Release : 2020-12-20
Category : Computers
ISBN : 9789811587672

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Proceedings of International Conference on Computational Intelligence and Data Engineering by Nabendu Chaki,Jerzy Pejas,Nagaraju Devarakonda,Ram Mohan Rao Kovvur Pdf

This book is a collection of high-quality research work on cutting-edge technologies and the most-happening areas of computational intelligence and data engineering. It includes selected papers from the International Conference on Computational Intelligence and Data Engineering (ICCIDE 2020). It covers various topics, including collective intelligence, intelligent transportation systems, fuzzy systems, Bayesian network, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence and speech processing.

Deep Learning Techniques and Optimization Strategies in Big Data Analytics

Thomas, J. Joshua,Karagoz, Pinar,Ahamed, B. Bazeer,Vasant, Pandian
Deep Learning Techniques and Optimization Strategies in Big Data Analytics Book PDF

Author : Thomas, J. Joshua,Karagoz, Pinar,Ahamed, B. Bazeer,Vasant, Pandian
Publisher : IGI Global
Page : 355 pages
File Size : 50,7 Mb
Release : 2019-11-29
Category : Computers
ISBN : 9781799811947

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Deep Learning Techniques and Optimization Strategies in Big Data Analytics by Thomas, J. Joshua,Karagoz, Pinar,Ahamed, B. Bazeer,Vasant, Pandian Pdf

Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there’s a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.

Computational Intelligence Techniques and Their Applications to Software Engineering Problems

Ankita Bansal,Abha Jain,Sarika Jain,Vishal Jain,Ankur Choudhary
Computational Intelligence Techniques and Their Applications to Software Engineering Problems Book PDF

Author : Ankita Bansal,Abha Jain,Sarika Jain,Vishal Jain,Ankur Choudhary
Publisher : CRC Press
Page : 809 pages
File Size : 55,8 Mb
Release : 2020-09-27
Category : Computers
ISBN : 9781000191943

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Computational Intelligence Techniques and Their Applications to Software Engineering Problems by Ankita Bansal,Abha Jain,Sarika Jain,Vishal Jain,Ankur Choudhary Pdf

Computational Intelligence Techniques and Their Applications to Software Engineering Problems focuses on computational intelligence approaches as applicable in varied areas of software engineering such as software requirement prioritization, cost estimation, reliability assessment, defect prediction, maintainability and quality prediction, size estimation, vulnerability prediction, test case selection and prioritization, and much more. The concepts of expert systems, case-based reasoning, fuzzy logic, genetic algorithms, swarm computing, and rough sets are introduced with their applications in software engineering. The field of knowledge discovery is explored using neural networks and data mining techniques by determining the underlying and hidden patterns in software data sets. Aimed at graduate students and researchers in computer science engineering, software engineering, information technology, this book: Covers various aspects of in-depth solutions of software engineering problems using computational intelligence techniques Discusses the latest evolutionary approaches to preliminary theory of different solve optimization problems under software engineering domain Covers heuristic as well as meta-heuristic algorithms designed to provide better and optimized solutions Illustrates applications including software requirement prioritization, software cost estimation, reliability assessment, software defect prediction, and more Highlights swarm intelligence-based optimization solutions for software testing and reliability problems

Computational Methods and Data Engineering

Vijendra Singh,Vijayan K. Asari,Sanjay Kumar,R. B. Patel
Computational Methods and Data Engineering Book PDF

Author : Vijendra Singh,Vijayan K. Asari,Sanjay Kumar,R. B. Patel
Publisher : Springer Nature
Page : 625 pages
File Size : 45,7 Mb
Release : 2020-08-19
Category : Technology & Engineering
ISBN : 9789811568763

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Computational Methods and Data Engineering by Vijendra Singh,Vijayan K. Asari,Sanjay Kumar,R. B. Patel Pdf

This book gathers selected high-quality research papers from the International Conference on Computational Methods and Data Engineering (ICMDE 2020), held at SRM University, Sonipat, Delhi-NCR, India. Focusing on cutting-edge technologies and the most dynamic areas of computational intelligence and data engineering, the respective contributions address topics including collective intelligence, intelligent transportation systems, fuzzy systems, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, and speech processing.

Intelligent Data Engineering and Automated Learning -- IDEAL 2014

Emilio Corchado,José A. Lozano,Héctor Quintián,Hujun Yin
Intelligent Data Engineering and Automated Learning IDEAL 2014 Book PDF

Author : Emilio Corchado,José A. Lozano,Héctor Quintián,Hujun Yin
Publisher : Springer
Page : 524 pages
File Size : 42,6 Mb
Release : 2014-08-13
Category : Computers
ISBN : 9783319108407

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Intelligent Data Engineering and Automated Learning -- IDEAL 2014 by Emilio Corchado,José A. Lozano,Héctor Quintián,Hujun Yin Pdf

This book constitutes the refereed proceedings of the 15th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2014, held in Salamanca, Spain, in September 2014. The 60 revised full papers presented were carefully reviewed and selected from about 120 submissions. These papers provided a valuable collection of recent research outcomes in data engineering and automated learning, from methodologies, frameworks, and techniques to applications. In addition the conference provided a good sample of current topics from methodologies, frameworks, and techniques to applications and case studies. The techniques include computational intelligence, big data analytics, social media techniques, multi-objective optimization, regression, classification, clustering, biological data processing, text processing, and image/video analysis.

Advanced Analytics and Deep Learning Models

Archana Mire,Shaveta Malik,Amit Kumar Tyagi
Advanced Analytics and Deep Learning Models Book PDF

Author : Archana Mire,Shaveta Malik,Amit Kumar Tyagi
Publisher : John Wiley & Sons
Page : 436 pages
File Size : 42,6 Mb
Release : 2022-06-01
Category : Computers
ISBN : 9781119791751

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Advanced Analytics and Deep Learning Models by Archana Mire,Shaveta Malik,Amit Kumar Tyagi Pdf

Advanced Analytics and Deep Learning Models The book provides readers with an in-depth understanding of concepts and technologies related to the importance of analytics and deep learning in many useful real-world applications such as e-healthcare, transportation, agriculture, stock market, etc. Advanced analytics is a mixture of machine learning, artificial intelligence, graphs, text mining, data mining, semantic analysis. It is an approach to data analysis. Beyond the traditional business intelligence, it is a semi and autonomous analysis of data by using different techniques and tools. However, deep learning and data analysis both are high centers of data science. Almost all the private and public organizations collect heavy amounts of data, i.e., domain-specific data. Many small/large companies are exploring large amounts of data for existing and future technology. Deep learning is also exploring large amounts of unsupervised data making it beneficial and effective for big data. Deep learning can be used to deal with all kinds of problems and challenges that include collecting unlabeled and uncategorized raw data, extracting complex patterns from a large amount of data, retrieving fast information, tagging data, etc. This book contains 16 chapters on artificial intelligence, machine learning, deep learning, and their uses in many useful sectors like stock market prediction, a recommendation system for better service selection, e-healthcare, telemedicine, transportation. There are also chapters on innovations and future opportunities with fog computing/cloud computing and artificial intelligence. Audience Researchers in artificial intelligence, big data, computer science, and electronic engineering, as well as industry engineers in healthcare, telemedicine, transportation, and the financial sector. The book will also be a great source for software engineers and advanced students who are beginners in the field of advanced analytics in deep learning.