Advances In Artificial Intelligence Computation And Data Science

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Advances in Artificial Intelligence, Computation, and Data Science

Tuan D. Pham,Hong Yan,Muhammad W. Ashraf,Folke Sjöberg
Advances in Artificial Intelligence Computation and Data Science Book PDF

Author : Tuan D. Pham,Hong Yan,Muhammad W. Ashraf,Folke Sjöberg
Publisher : Springer Nature
Page : 373 pages
File Size : 42,6 Mb
Release : 2021-07-12
Category : Science
ISBN : 9783030699512

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Advances in Artificial Intelligence, Computation, and Data Science by Tuan D. Pham,Hong Yan,Muhammad W. Ashraf,Folke Sjöberg Pdf

Artificial intelligence (AI) has become pervasive in most areas of research and applications. While computation can significantly reduce mental efforts for complex problem solving, effective computer algorithms allow continuous improvement of AI tools to handle complexity—in both time and memory requirements—for machine learning in large datasets. Meanwhile, data science is an evolving scientific discipline that strives to overcome the hindrance of traditional skills that are too limited to enable scientific discovery when leveraging research outcomes. Solutions to many problems in medicine and life science, which cannot be answered by these conventional approaches, are urgently needed for society. This edited book attempts to report recent advances in the complementary domains of AI, computation, and data science with applications in medicine and life science. The benefits to the reader are manifold as researchers from similar or different fields can be aware of advanced developments and novel applications that can be useful for either immediate implementations or future scientific pursuit. Features: Considers recent advances in AI, computation, and data science for solving complex problems in medicine, physiology, biology, chemistry, and biochemistry Provides recent developments in three evolving key areas and their complementary combinations: AI, computation, and data science Reports on applications in medicine and physiology, including cancer, neuroscience, and digital pathology Examines applications in life science, including systems biology, biochemistry, and even food technology This unique book, representing research from a team of international contributors, has not only real utility in academia for those in the medical and life sciences communities, but also a much wider readership from industry, science, and other areas of technology and education.

Advances in Machine Learning and Data Science

Damodar Reddy Edla,Pawan Lingras,Venkatanareshbabu K.
Advances in Machine Learning and Data Science Book PDF

Author : Damodar Reddy Edla,Pawan Lingras,Venkatanareshbabu K.
Publisher : Springer
Page : 380 pages
File Size : 52,8 Mb
Release : 2018-05-16
Category : Technology & Engineering
ISBN : 9789811085697

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Advances in Machine Learning and Data Science by Damodar Reddy Edla,Pawan Lingras,Venkatanareshbabu K. Pdf

The Volume of “Advances in Machine Learning and Data Science - Recent Achievements and Research Directives” constitutes the proceedings of First International Conference on Latest Advances in Machine Learning and Data Science (LAMDA 2017). The 37 regular papers presented in this volume were carefully reviewed and selected from 123 submissions. These days we find many computer programs that exhibit various useful learning methods and commercial applications. Goal of machine learning is to develop computer programs that can learn from experience. Machine learning involves knowledge from various disciplines like, statistics, information theory, artificial intelligence, computational complexity, cognitive science and biology. For problems like handwriting recognition, algorithms that are based on machine learning out perform all other approaches. Both machine learning and data science are interrelated. Data science is an umbrella term to be used for techniques that clean data and extract useful information from data. In field of data science, machine learning algorithms are used frequently to identify valuable knowledge from commercial databases containing records of different industries, financial transactions, medical records, etc. The main objective of this book is to provide an overview on latest advancements in the field of machine learning and data science, with solutions to problems in field of image, video, data and graph processing, pattern recognition, data structuring, data clustering, pattern mining, association rule based approaches, feature extraction techniques, neural networks, bio inspired learning and various machine learning algorithms.

Recent Developments in Data Science and Intelligent Analysis of Information

Oleg Chertov,Tymofiy Mylovanov,Yuriy Kondratenko,Janusz Kacprzyk,Vladik Kreinovich,Vadim Stefanuk
Recent Developments in Data Science and Intelligent Analysis of Information Book PDF

Author : Oleg Chertov,Tymofiy Mylovanov,Yuriy Kondratenko,Janusz Kacprzyk,Vladik Kreinovich,Vadim Stefanuk
Publisher : Springer
Page : 384 pages
File Size : 42,5 Mb
Release : 2018-08-04
Category : Technology & Engineering
ISBN : 9783319978857

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Recent Developments in Data Science and Intelligent Analysis of Information by Oleg Chertov,Tymofiy Mylovanov,Yuriy Kondratenko,Janusz Kacprzyk,Vladik Kreinovich,Vadim Stefanuk Pdf

This book constitutes the proceedings of the XVIII International Conference on Data Science and Intelligent Analysis of Information (ICDSIAI'2018), held in Kiev, Ukraine on June 4-7, 2018. The conference series, which dates back to 2001 when it was known as the Workshop on Intelligent Analysis of Information, was renamed in 2008 to reflect the broadening of its scope and the composition of its organizers and participants. ICDSIAI'2018 brought together a large number of participants from numerous countries in Europe, Asia and the USA. The papers presented addressed novel theoretical developments in methods, algorithms and implementations for the broadly perceived areas of big data mining and intelligent analysis of data and information, representation and processing of uncertainty and fuzziness, including contributions on a range of applications in the fields of decision-making and decision support, economics, education, ecology, law, and various areas of technology. The book is dedicated to the memory of the conference founder, the late Professor Tetiana Taran, an outstanding scientist in the field of artificial intelligence whose research record, vision and personality have greatly contributed to the development of Ukrainian artificial intelligence and computer science.

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 : 44,7 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.

Modern Artificial Intelligence and Data Science

Abdellah Idrissi
Modern Artificial Intelligence and Data Science Book PDF

Author : Abdellah Idrissi
Publisher : Springer Nature
Page : 321 pages
File Size : 49,5 Mb
Release : 2023-08-25
Category : Computers
ISBN : 9783031333095

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Modern Artificial Intelligence and Data Science by Abdellah Idrissi Pdf

This Book, through its various chapters presenting the Recent Advances in Modern Artificial Intelligence and Data Science as well as their Applications, aims to set up lasting and real applications necessary for both academics and professionals. Readers find here the fruit of many research ideas covering a wide range of application areas that can be explored for the advancement of their research or the development of their business. These ideas present new techniques and trends projected in various areas of daily life. Through its proposals of new ideas, this Book serves as a real guide both for experienced readers and for beginners in these specialized fields. It also covers several applications that explain how they can support some societal challenges such as education, health, agriculture, clean energy, business, environment, security and many more. This Book is therefore intended for Designers, Developers, Decision-Makers, Consultants, Engineers, and of course Master's/Doctoral Students, Researchers and Academics.

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 : 55,9 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.

Advances in Data Science: Methodologies and Applications

Gloria Phillips-Wren,Anna Esposito,Lakhmi C. Jain
Advances in Data Science Methodologies and Applications Book PDF

Author : Gloria Phillips-Wren,Anna Esposito,Lakhmi C. Jain
Publisher : Springer Nature
Page : 333 pages
File Size : 49,5 Mb
Release : 2020-08-26
Category : Technology & Engineering
ISBN : 9783030518707

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Advances in Data Science: Methodologies and Applications by Gloria Phillips-Wren,Anna Esposito,Lakhmi C. Jain Pdf

Big data and data science are transforming our world today in ways we could not have imagined at the beginning of the twenty-first century. The accompanying wave of innovation has sparked advances in healthcare, engineering, business, science, and human perception, among others. The tremendous advances in computing power and intelligent techniques have opened many opportunities for managing data and investigating data in virtually every field, and the scope of data science is expected to grow over the next decade. These future research achievements will solve old challenges and create new opportunities for growth and development. Thus, the research presented in this book is interdisciplinary and covers themes embracing emotions, artificial intelligence, robotics applications, sentiment analysis, smart city problems, assistive technologies, speech melody, and fall and abnormal behavior detection. The book is directed to the researchers, practitioners, professors and students interested in recent advances in methodologies and applications of data science. An introduction to the topic is provided, and research challenges and future research opportunities are highlighted throughout.

Machine Learning Paradigms

Maria Virvou,Efthimios Alepis,George A. Tsihrintzis,Lakhmi C. Jain
Machine Learning Paradigms Book PDF

Author : Maria Virvou,Efthimios Alepis,George A. Tsihrintzis,Lakhmi C. Jain
Publisher : Springer
Page : 223 pages
File Size : 47,8 Mb
Release : 2019-03-16
Category : Technology & Engineering
ISBN : 9783030137434

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Machine Learning Paradigms by Maria Virvou,Efthimios Alepis,George A. Tsihrintzis,Lakhmi C. Jain Pdf

This book presents recent machine learning paradigms and advances in learning analytics, an emerging research discipline concerned with the collection, advanced processing, and extraction of useful information from both educators’ and learners’ data with the goal of improving education and learning systems. In this context, internationally respected researchers present various aspects of learning analytics and selected application areas, including: • Using learning analytics to measure student engagement, to quantify the learning experience and to facilitate self-regulation; • Using learning analytics to predict student performance; • Using learning analytics to create learning materials and educational courses; and • Using learning analytics as a tool to support learners and educators in synchronous and asynchronous eLearning. The book offers a valuable asset for professors, researchers, scientists, engineers and students of all disciplines. Extensive bibliographies at the end of each chapter guide readers to probe further into their application areas of interest.

Advances in Data Science and Information Engineering

Robert Stahlbock,Gary M. Weiss,Mahmoud Abou-Nasr,Cheng-Ying Yang,Hamid R. Arabnia,Leonidas Deligiannidis
Advances in Data Science and Information Engineering Book PDF

Author : Robert Stahlbock,Gary M. Weiss,Mahmoud Abou-Nasr,Cheng-Ying Yang,Hamid R. Arabnia,Leonidas Deligiannidis
Publisher : Springer Nature
Page : 965 pages
File Size : 51,7 Mb
Release : 2021-10-29
Category : Computers
ISBN : 9783030717049

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Advances in Data Science and Information Engineering by Robert Stahlbock,Gary M. Weiss,Mahmoud Abou-Nasr,Cheng-Ying Yang,Hamid R. Arabnia,Leonidas Deligiannidis Pdf

The book presents the proceedings of two conferences: the 16th International Conference on Data Science (ICDATA 2020) and the 19th International Conference on Information & Knowledge Engineering (IKE 2020), which took place in Las Vegas, NV, USA, July 27-30, 2020. The conferences are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Papers cover all aspects of Data Science, Data Mining, Machine Learning, Artificial and Computational Intelligence (ICDATA) and Information Retrieval Systems, Information & Knowledge Engineering, Management and Cyber-Learning (IKE). Authors include academics, researchers, professionals, and students. Presents the proceedings of the 16th International Conference on Data Science (ICDATA 2020) and the 19th International Conference on Information & Knowledge Engineering (IKE 2020); Includes papers on topics from data mining to machine learning to informational retrieval systems; Authors include academics, researchers, professionals and students.

Machine Learning and Data Science

Prateek Agrawal,Charu Gupta,Anand Sharma,Vishu Madaan,Nisheeth Joshi
Machine Learning and Data Science Book PDF

Author : Prateek Agrawal,Charu Gupta,Anand Sharma,Vishu Madaan,Nisheeth Joshi
Publisher : John Wiley & Sons
Page : 276 pages
File Size : 55,8 Mb
Release : 2022-08-09
Category : Computers
ISBN : 9781119775614

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Machine Learning and Data Science by Prateek Agrawal,Charu Gupta,Anand Sharma,Vishu Madaan,Nisheeth Joshi Pdf

MACHINE LEARNING AND DATA SCIENCE Written and edited by a team of experts in the field, this collection of papers reflects the most up-to-date and comprehensive current state of machine learning and data science for industry, government, and academia. Machine learning (ML) and data science (DS) are very active topics with an extensive scope, both in terms of theory and applications. They have been established as an important emergent scientific field and paradigm driving research evolution in such disciplines as statistics, computing science and intelligence science, and practical transformation in such domains as science, engineering, the public sector, business, social science, and lifestyle. Simultaneously, their applications provide important challenges that can often be addressed only with innovative machine learning and data science algorithms. These algorithms encompass the larger areas of artificial intelligence, data analytics, machine learning, pattern recognition, natural language understanding, and big data manipulation. They also tackle related new scientific challenges, ranging from data capture, creation, storage, retrieval, sharing, analysis, optimization, and visualization, to integrative analysis across heterogeneous and interdependent complex resources for better decision-making, collaboration, and, ultimately, value creation.

Advanced Artificial Intelligence (Second Edition)

Shi Zhongzhi
Advanced Artificial Intelligence Second Edition Book PDF

Author : Shi Zhongzhi
Publisher : World Scientific
Page : 596 pages
File Size : 54,5 Mb
Release : 2019-08-05
Category : Computers
ISBN : 9789811200892

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Advanced Artificial Intelligence (Second Edition) by Shi Zhongzhi Pdf

The joint breakthrough of big data, cloud computing and deep learning has made artificial intelligence (AI) the new focus in the international arena. AI is a branch of computer science, developing intelligent machine with imitating, extending and augmenting human intelligence through artificial means and techniques to realize intelligent behaviour.This comprehensive compendium, consisting of 15 chapters, captures the updated achievements of AI. It is completely revised to reflect the current researches in the field, through numerous techniques and strategies to address the impending challenges facing computer scientists today.The unique volume is useful for senior or graduate students in the information field and related tertiary specialities. It is also a suitable reference text for professionals, researchers, and academics in AI, machine learning, electrical & electronic engineering and biocomputing.

Advances in Artificial Intelligence

Canadian Society for Computational Studies of Intelligence. Conference,Yang Xiang,Chaib-draa Brahim
Advances in Artificial Intelligence Book PDF

Author : Canadian Society for Computational Studies of Intelligence. Conference,Yang Xiang,Chaib-draa Brahim
Publisher : Springer Science & Business Media
Page : 666 pages
File Size : 43,6 Mb
Release : 2003-05-27
Category : Business & Economics
ISBN : 3540403000

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Advances in Artificial Intelligence by Canadian Society for Computational Studies of Intelligence. Conference,Yang Xiang,Chaib-draa Brahim Pdf

This book constitutes the refereed proceedings of the 16th Conference of the Canadian Society for Computational Studies of Intelligence, AI 2003, held in Halifax, Canada in June 2003. The 30 revised full papers and 24 revised short papers presented were carefully reviewed and selected from 106 submissions. The papers are organized in topical sections on knowledge representation, search, constraint satisfaction, machine learning and data mining, AI and Web applications, reasoning under uncertainty, agents and multi-agent systems, AI and bioinformatics, and AI and e-commerce.

Advances on Intelligent Computing and Data Science

Faisal Saeed,Fathey Mohammed,Errais Mohammed,Tawfik Al-Hadhrami,Mohammed Al-Sarem
Advances on Intelligent Computing and Data Science Book PDF

Author : Faisal Saeed,Fathey Mohammed,Errais Mohammed,Tawfik Al-Hadhrami,Mohammed Al-Sarem
Publisher : Springer Nature
Page : 705 pages
File Size : 53,5 Mb
Release : 2023-08-16
Category : Computers
ISBN : 9783031362583

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Advances on Intelligent Computing and Data Science by Faisal Saeed,Fathey Mohammed,Errais Mohammed,Tawfik Al-Hadhrami,Mohammed Al-Sarem Pdf

This book presents the papers included in the proceedings of the 3rd International Conference of Advanced Computing and Informatics (ICACin’22) that was held in Casablanca, Morocco, on October 15–16, 2022. A total of 98 papers were submitted to the conference, but only 60 papers were accepted and published in this book with an acceptance rate of 61%. The book presents several hot research topics which include artificial intelligence and data science, big data analytics, Internet of Things (IoT) and smart cities, information security, cloud computing and networking, and computational informatics.

Smarter Data Science

Neal Fishman,Cole Stryker
Smarter Data Science Book PDF

Author : Neal Fishman,Cole Stryker
Publisher : John Wiley & Sons
Page : 374 pages
File Size : 40,8 Mb
Release : 2020-04-14
Category : Computers
ISBN : 9781119693420

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Smarter Data Science by Neal Fishman,Cole Stryker Pdf

Organizations can make data science a repeatable, predictable tool, which business professionals use to get more value from their data Enterprise data and AI projects are often scattershot, underbaked, siloed, and not adaptable to predictable business changes. As a result, the vast majority fail. These expensive quagmires can be avoided, and this book explains precisely how. Data science is emerging as a hands-on tool for not just data scientists, but business professionals as well. Managers, directors, IT leaders, and analysts must expand their use of data science capabilities for the organization to stay competitive. Smarter Data Science helps them achieve their enterprise-grade data projects and AI goals. It serves as a guide to building a robust and comprehensive information architecture program that enables sustainable and scalable AI deployments. When an organization manages its data effectively, its data science program becomes a fully scalable function that’s both prescriptive and repeatable. With an understanding of data science principles, practitioners are also empowered to lead their organizations in establishing and deploying viable AI. They employ the tools of machine learning, deep learning, and AI to extract greater value from data for the benefit of the enterprise. By following a ladder framework that promotes prescriptive capabilities, organizations can make data science accessible to a range of team members, democratizing data science throughout the organization. Companies that collect, organize, and analyze data can move forward to additional data science achievements: Improving time-to-value with infused AI models for common use cases Optimizing knowledge work and business processes Utilizing AI-based business intelligence and data visualization Establishing a data topology to support general or highly specialized needs Successfully completing AI projects in a predictable manner Coordinating the use of AI from any compute node. From inner edges to outer edges: cloud, fog, and mist computing When they climb the ladder presented in this book, businesspeople and data scientists alike will be able to improve and foster repeatable capabilities. They will have the knowledge to maximize their AI and data assets for the benefit of their organizations.

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 : 41,7 Mb
Release : 2022-05-03
Category : Computers
ISBN : 9781119792413

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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.