Trends In Applied Knowledge Based Systems And Data Science

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Trends in Applied Knowledge-Based Systems and Data Science

Author : Hamido Fujita
Publisher : Springer
ISBN 13 : 3319420070
Total Pages : 1021 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Trends in Applied Knowledge-Based Systems and Data Science by : Hamido Fujita

Download or read book Trends in Applied Knowledge-Based Systems and Data Science written by Hamido Fujita and published by Springer. This book was released on 2016-07-13 with total page 1021 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed conference proceedings of the 29th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016, held in Morioka, Japan, in August 2-4, 2016. The 80 revised full papers presented were carefully reviewed and selected from 168 submissions. They are organized in topical sections: data science; knowledge base systems; natural language processing and sentiment analysis; semantic Web and social networks; computer vision; medical diagnosis system and bio-informatics; applied neural networks; innovations in intelligent systems and applications; decision support systems; adaptive control; soft computing and multi-agent systems; evolutionary algorithms and heuristic search; system integration for real-life applications.

Current Trends on Knowledge-Based Systems

Author : Giner Alor-Hernández
Publisher : Springer
ISBN 13 : 3319519050
Total Pages : 290 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Current Trends on Knowledge-Based Systems by : Giner Alor-Hernández

Download or read book Current Trends on Knowledge-Based Systems written by Giner Alor-Hernández and published by Springer. This book was released on 2017-03-13 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents innovative and high-quality research on the implementation of conceptual frameworks, strategies, techniques, methodologies, informatics platforms and models for developing advanced knowledge-based systems and their application in different fields, including Agriculture, Education, Automotive, Electrical Industry, Business Services, Food Manufacturing, Energy Services, Medicine and others. Knowledge-based technologies employ artificial intelligence methods to heuristically address problems that cannot be solved by means of formal techniques. These technologies draw on standard and novel approaches from various disciplines within Computer Science, including Knowledge Engineering, Natural Language Processing, Decision Support Systems, Artificial Intelligence, Databases, Software Engineering, etc. As a combination of different fields of Artificial Intelligence, the area of Knowledge-Based Systems applies knowledge representation, case-based reasoning, neural networks, Semantic Web and TICs used in different domains. The book offers a valuable resource for PhD students, Master’s and undergraduate students of Information Technology (IT)-related degrees such as Computer Science, Information Systems and Electronic Engineering.

Human Systems Engineering and Design (IHSED 2021): Future Trends and Applications

Author : Waldemar Karwowski, Tareq Ahram, Mario Milicevic, Darko Etinger and Krunoslav Zubrinic
Publisher : AHFE International
ISBN 13 : 1792389876
Total Pages : 1030 pages
Book Rating : 4.7/5 (923 download)

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Book Synopsis Human Systems Engineering and Design (IHSED 2021): Future Trends and Applications by : Waldemar Karwowski, Tareq Ahram, Mario Milicevic, Darko Etinger and Krunoslav Zubrinic

Download or read book Human Systems Engineering and Design (IHSED 2021): Future Trends and Applications written by Waldemar Karwowski, Tareq Ahram, Mario Milicevic, Darko Etinger and Krunoslav Zubrinic and published by AHFE International. This book was released on 2021-09-25 with total page 1030 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the 4th International Conference on Human Systems Engineering and Design (IHSED2021): Future Trends and Applications, September 23–25, 2021, University of Dubrovnik, Croatia

Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges

Author : I. Tiddi
Publisher : IOS Press
ISBN 13 : 1643680811
Total Pages : 314 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges by : I. Tiddi

Download or read book Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges written by I. Tiddi and published by IOS Press. This book was released on 2020-05-06 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: The latest advances in Artificial Intelligence and (deep) Machine Learning in particular revealed a major drawback of modern intelligent systems, namely the inability to explain their decisions in a way that humans can easily understand. While eXplainable AI rapidly became an active area of research in response to this need for improved understandability and trustworthiness, the field of Knowledge Representation and Reasoning (KRR) has on the other hand a long-standing tradition in managing information in a symbolic, human-understandable form. This book provides the first comprehensive collection of research contributions on the role of knowledge graphs for eXplainable AI (KG4XAI), and the papers included here present academic and industrial research focused on the theory, methods and implementations of AI systems that use structured knowledge to generate reliable explanations. Introductory material on knowledge graphs is included for those readers with only a minimal background in the field, as well as specific chapters devoted to advanced methods, applications and case-studies that use knowledge graphs as a part of knowledge-based, explainable systems (KBX-systems). The final chapters explore current challenges and future research directions in the area of knowledge graphs for eXplainable AI. The book not only provides a scholarly, state-of-the-art overview of research in this subject area, but also fosters the hybrid combination of symbolic and subsymbolic AI methods, and will be of interest to all those working in the field.

Knowledge Innovation Through Intelligent Software Methodologies, Tools and Techniques

Author : H. Fujita
Publisher : IOS Press
ISBN 13 : 164368115X
Total Pages : 498 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis Knowledge Innovation Through Intelligent Software Methodologies, Tools and Techniques by : H. Fujita

Download or read book Knowledge Innovation Through Intelligent Software Methodologies, Tools and Techniques written by H. Fujita and published by IOS Press. This book was released on 2020-09-30 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software methodologies, tools and techniques have become an ever more important part of our lives, and are crucial to the decision-making processes that affect us every day. This book presents papers from the 19th International Conference on New Trends in Intelligent Software Methodology Tools, and Techniques (SoMeT20), held in Kitakyushu, Japan from 22–24 September 2020. The SoMeT conferences bring together researchers and practitioners to share their original research results and experience of practical developments in software science and related new technologies, and this book explores new trends and theories that highlight the direction and development of intelligent software methodologies, tools and techniques. It covers newly developed techniques, enhanced methodologies, software related solutions and recently developed tools, as well as indicating the direction of future research, and the 40 revised papers included here have been selected by the SoMeT20 international reviewing committee on the basis of technical soundness, relevance, originality, significance, and clarity. The book is divided into 5 chapters: artificial intelligence techniques on software engineering, and requirement engineering; software methods for informatics, medical informatics and bio-medicine applications; applied software tools, techniques and related software engineering models; intelligent-software systems design, software quality, software evolution and validation techniques; and knowledge science and intelligent computing. Providing an overview of the state-of-the-art in software science and its supporting technology, this book will be of interest to all those working in the field.

Intelligent Systems, Technologies and Applications

Author : Marcin Paprzycki
Publisher : Springer Nature
ISBN 13 : 9811607303
Total Pages : 438 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Intelligent Systems, Technologies and Applications by : Marcin Paprzycki

Download or read book Intelligent Systems, Technologies and Applications written by Marcin Paprzycki and published by Springer Nature. This book was released on 2021-05-31 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers to readers a selection of refereed papers that were presented at the Sixth International Symposium on Intelligent Systems Technologies and Applications (ISTA’20). All submissions were evaluated on the basis of their significance, novelty, and technical quality. This book consists of 28 papers (19 regular and 9 short papers) that were virtually presented at the Symposium. The papers cover different areas such as big data analytics, security and privacy, Internet of things, machine and deep learning, health informatics, visual computing, signal processing, and natural language processing. The book is directed to the researchers and scientists engaged in various fields of intelligent systems.

ICT Analysis and Applications

Author : Simon Fong
Publisher : Springer Nature
ISBN 13 : 9811952248
Total Pages : 763 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis ICT Analysis and Applications by : Simon Fong

Download or read book ICT Analysis and Applications written by Simon Fong and published by Springer Nature. This book was released on 2022-11-05 with total page 763 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 7th International Conference on ICT for Sustainable Development (ICT4SD 2022), held in Goa, India, on July 29–30, 2022. The book covers the topics such as big data and data mining, data fusion, IoT programming toolkits and frameworks, green communication systems and network, use of ICT in smart cities, sensor networks and embedded system, network and information security, wireless and optical networks, security, trust, and privacy, routing and control protocols, cognitive radio and networks, and natural language processing. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.

AI in Cybersecurity

Author : Leslie F. Sikos
Publisher : Springer
ISBN 13 : 3319988425
Total Pages : 205 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis AI in Cybersecurity by : Leslie F. Sikos

Download or read book AI in Cybersecurity written by Leslie F. Sikos and published by Springer. This book was released on 2018-09-17 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a collection of state-of-the-art AI approaches to cybersecurity and cyberthreat intelligence, offering strategic defense mechanisms for malware, addressing cybercrime, and assessing vulnerabilities to yield proactive rather than reactive countermeasures. The current variety and scope of cybersecurity threats far exceed the capabilities of even the most skilled security professionals. In addition, analyzing yesterday’s security incidents no longer enables experts to predict and prevent tomorrow’s attacks, which necessitates approaches that go far beyond identifying known threats. Nevertheless, there are promising avenues: complex behavior matching can isolate threats based on the actions taken, while machine learning can help detect anomalies, prevent malware infections, discover signs of illicit activities, and protect assets from hackers. In turn, knowledge representation enables automated reasoning over network data, helping achieve cybersituational awareness. Bringing together contributions by high-caliber experts, this book suggests new research directions in this critical and rapidly growing field.

Advances in E-Business Engineering for Ubiquitous Computing

Author : Kuo-Ming Chao
Publisher : Springer Nature
ISBN 13 : 3030349861
Total Pages : 633 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Advances in E-Business Engineering for Ubiquitous Computing by : Kuo-Ming Chao

Download or read book Advances in E-Business Engineering for Ubiquitous Computing written by Kuo-Ming Chao and published by Springer Nature. This book was released on 2019-11-27 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest trends in scientific methods and enabling technologies to advance e-business. It consists of selected high-quality papers from the 16th International Conference on E-Business Engineering (ICEBE 2019), held in Shanghai, China, on 11–13 October 2019. ICEBE is a leading international forum for researchers, engineers, and business specialists to exchange cutting-edge ideas, findings, and experiences in the field of e-business. The book covers a range of topics, including agents for e-business, big data for e-business, Internet of Things, mobile and autonomous computing, security/privacy/trust, service-oriented and cloud computing, software engineering, blockchain, and industry applications.

From Grand Challenges to Great Solutions: Digital Transformation in the Age of COVID-19

Author : Shaokun Fan
Publisher : Springer Nature
ISBN 13 : 3031041267
Total Pages : 106 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis From Grand Challenges to Great Solutions: Digital Transformation in the Age of COVID-19 by : Shaokun Fan

Download or read book From Grand Challenges to Great Solutions: Digital Transformation in the Age of COVID-19 written by Shaokun Fan and published by Springer Nature. This book was released on 2022-04-02 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes revised selected papers from the 20th Workshop on e-Business, WeB 2021, which took place virtually on December 11, 2021. The purpose of WeB is to provide a forum for researchers and practitioners to discuss findings, novel ideas, and lessons learned to address major challenges and map out the future directions for e-Business. The WeB 2021 theme was “From Grand Challenges to Great Solutions: Digital Transformation in the Age of COVID-19.” The 8 papers included in this volume were carefully reviewed and selected from a total of 24 submissions. The contributions are organized in topical sections as follows: digital innovation and transformation, and e-commerce and social media.

Periodic Pattern Mining

Author : R. Uday Kiran
Publisher : Springer Nature
ISBN 13 : 9811639647
Total Pages : 263 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Periodic Pattern Mining by : R. Uday Kiran

Download or read book Periodic Pattern Mining written by R. Uday Kiran and published by Springer Nature. This book was released on 2021-10-29 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to the field of periodic pattern mining, reviews state-of-the-art techniques, discusses recent advances, and reviews open-source software. Periodic pattern mining is a popular and emerging research area in the field of data mining. It involves discovering all regularly occurring patterns in temporal databases. One of the major applications of periodic pattern mining is the analysis of customer transaction databases to discover sets of items that have been regularly purchased by customers. Discovering such patterns has several implications for understanding the behavior of customers. Since the first work on periodic pattern mining, numerous studies have been published and great advances have been made in this field. The book consists of three main parts: introduction, algorithms, and applications. The first chapter is an introduction to pattern mining and periodic pattern mining. The concepts of periodicity, periodic support, search space exploration techniques, and pruning strategies are discussed. The main types of algorithms are also presented such as periodic-frequent pattern growth, partial periodic pattern-growth, and periodic high-utility itemset mining algorithm. Challenges and research opportunities are reviewed. The chapters that follow present state-of-the-art techniques for discovering periodic patterns in (1) transactional databases, (2) temporal databases, (3) quantitative temporal databases, and (4) big data. Then, the theory on concise representations of periodic patterns is presented, as well as hiding sensitive information using privacy-preserving data mining techniques. The book concludes with several applications of periodic pattern mining, including applications in air pollution data analytics, accident data analytics, and traffic congestion analytics.

UAV or Drones for Remote Sensing Applications

Author : Felipe Gonzalez Toro
Publisher : MDPI
ISBN 13 : 3038970913
Total Pages : 381 pages
Book Rating : 4.0/5 (389 download)

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Book Synopsis UAV or Drones for Remote Sensing Applications by : Felipe Gonzalez Toro

Download or read book UAV or Drones for Remote Sensing Applications written by Felipe Gonzalez Toro and published by MDPI. This book was released on 2018-11-23 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "UAV or Drones for Remote Sensing Applications" that was published in Sensors

Disaster Robotics

Author : Satoshi Tadokoro
Publisher : Springer
ISBN 13 : 3030053210
Total Pages : 534 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Disaster Robotics by : Satoshi Tadokoro

Download or read book Disaster Robotics written by Satoshi Tadokoro and published by Springer. This book was released on 2019-01-20 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to the latest findings on disaster robotics. It is based on the ImPACT Tough Robotics Challenge, a national project spearheaded by the Japan Cabinet Office that focuses on developing robotics technologies to aid in disaster response, recovery and preparedness. It presents six subprojects that involve robot platforms and several component technologies used in conjunction with robots: cyber rescue canines, which are digitally empowered rescue dogs; serpent-like robots for searching debris; serpent-like robots for plant/infrastructure inspection; UAVs for gathering information on large areas struck by disaster; legged robots for plant/infrastructure inspection in risky places; and construction robots for recovery tasks that require both power and precision. The book offers a valuable source of information for researchers, engineers and practitioners in safety, security and rescue robotics, disaster robotics, and plant and infrastructure maintenance. It will also appeal to a wider demographic, including students and academics, as it highlights application scenarios and the total concept for each robot in various scientific and technical contexts. In addition to a wealth of figures and photos that explain these robots and systems, as well as experimental data, the book includes a comprehensive list of published papers from this project for readers to refer to. Lastly, an external website offers video footage and updated information from the International Rescue System Institute.

Artificial Intelligence and Data Science in Recommendation System: Current Trends, Technologies and Applications

Author : Abhishek Majumder
Publisher : Bentham Science Publishers
ISBN 13 : 9815136755
Total Pages : 319 pages
Book Rating : 4.8/5 (151 download)

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Book Synopsis Artificial Intelligence and Data Science in Recommendation System: Current Trends, Technologies and Applications by : Abhishek Majumder

Download or read book Artificial Intelligence and Data Science in Recommendation System: Current Trends, Technologies and Applications written by Abhishek Majumder and published by Bentham Science Publishers. This book was released on 2023-08-16 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Data Science in Recommendation System: Current Trends, Technologies and Applications captures the state of the art in usage of artificial intelligence in different types of recommendation systems and predictive analysis. The book provides guidelines and case studies for application of artificial intelligence in recommendation from expert researchers and practitioners. A detailed analysis of the relevant theoretical and practical aspects, current trends and future directions is presented. The book highlights many use cases for recommendation systems: · Basic application of machine learning and deep learning in recommendation process and the evaluation metrics · Machine learning techniques for text mining and spam email filtering considering the perspective of Industry 4.0 · Tensor factorization in different types of recommendation system · Ranking framework and topic modeling to recommend author specialization based on content. · Movie recommendation systems · Point of interest recommendations · Mobile tourism recommendation systems for visually disabled persons · Automation of fashion retail outlets · Human resource management (employee assessment and interview screening) This reference is essential reading for students, faculty members, researchers and industry professionals seeking insight into the working and design of recommendation systems.

Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry

Author : Chkoniya, Valentina
Publisher : IGI Global
ISBN 13 : 1799869865
Total Pages : 653 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry by : Chkoniya, Valentina

Download or read book Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry written by Chkoniya, Valentina and published by IGI Global. This book was released on 2021-06-25 with total page 653 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contemporary world lives on the data produced at an unprecedented speed through social networks and the internet of things (IoT). Data has been called the new global currency, and its rise is transforming entire industries, providing a wealth of opportunities. Applied data science research is necessary to derive useful information from big data for the effective and efficient utilization to solve real-world problems. A broad analytical set allied with strong business logic is fundamental in today’s corporations. Organizations work to obtain competitive advantage by analyzing the data produced within and outside their organizational limits to support their decision-making processes. This book aims to provide an overview of the concepts, tools, and techniques behind the fields of data science and artificial intelligence (AI) applied to business and industries. The Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry discusses all stages of data science to AI and their application to real problems across industries—from science and engineering to academia and commerce. This book brings together practice and science to build successful data solutions, showing how to uncover hidden patterns and leverage them to improve all aspects of business performance by making sense of data from both web and offline environments. Covering topics including applied AI, consumer behavior analytics, and machine learning, this text is essential for data scientists, IT specialists, managers, executives, software and computer engineers, researchers, practitioners, academicians, and students.

On Knowledge Base Management Systems

Author : Michael L. Brodie
Publisher : Springer Science & Business Media
ISBN 13 : 1461249805
Total Pages : 650 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis On Knowledge Base Management Systems by : Michael L. Brodie

Download or read book On Knowledge Base Management Systems written by Michael L. Brodie and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: Current experimental systems in industry, government, and the military take advantage of knowledge-based processing. For example, the Defense Advanced Research Projects Agency (DARPA), and the United States Geological Survey (USGS) are supporting the develop ment of information systems that contain diverse, vast, and growing repositories of data (e.g., vast databases storing geographic informa tion). These systems require powerful reasoning capabilities and pro cessing such as data processing, communications, and multidisciplinary of such systems will scientific analysis. The number and importance grow significantly in the near future. Many of these systems are severely limited by current knowledge base and database systems technology. Currently, knowledge-based system technology lacks the means to provide efficient and robust knowledge bases, while database system technology lacks knowledge representation and reasoning capabilities. The time has come to face the complex research problems that must be solved before we can design and implement real, large scale software systems that depend on knowledge-based processing. To date there has been little research directed at integrating knowledge base and database technologies. It is now imperative that such coordinated research be initiated and that it respond to the urgent need for a tech nology that will enable operational large-scale knowledge-based system applications.

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

Author : K. Gayathri Devi
Publisher : CRC Press
ISBN 13 : 1000179516
Total Pages : 250 pages
Book Rating : 4.0/5 (1 download)

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Book Synopsis Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches by : K. Gayathri Devi

Download or read book Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches written by K. Gayathri Devi and published by CRC Press. This book was released on 2020-10-07 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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