Trends In Applied Knowledge Based Systems And Data Science

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Trends in Applied Knowledge-Based Systems and Data Science

Hamido Fujita,Moonis Ali,Ali Selamat,Jun Sasaki,Masaki Kurematsu
Trends in Applied Knowledge Based Systems and Data Science Book PDF

Author : Hamido Fujita,Moonis Ali,Ali Selamat,Jun Sasaki,Masaki Kurematsu
Publisher : Springer
Page : 1021 pages
File Size : 44,7 Mb
Release : 2016-07-13
Category : Computers
ISBN : 9783319420073

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Trends in Applied Knowledge-Based Systems and Data Science by Hamido Fujita,Moonis Ali,Ali Selamat,Jun Sasaki,Masaki Kurematsu Pdf

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.

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

Waldemar Karwowski, Tareq Ahram, Mario Milicevic, Darko Etinger and Krunoslav Zubrinic
Human Systems Engineering and Design IHSED 2021 Future Trends and Applications Book PDF

Author : Waldemar Karwowski, Tareq Ahram, Mario Milicevic, Darko Etinger and Krunoslav Zubrinic
Publisher : AHFE International
Page : 1030 pages
File Size : 42,7 Mb
Release : 2021-09-25
Category : Technology & Engineering
ISBN : 9781792389870

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

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

I. Tiddi,F. Lécué,P. Hitzler
Knowledge Graphs for eXplainable Artificial Intelligence Foundations Applications and Challenges Book PDF

Author : I. Tiddi,F. Lécué,P. Hitzler
Publisher : IOS Press
Page : 314 pages
File Size : 54,9 Mb
Release : 2020-05-06
Category : Computers
ISBN : 9781643680811

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Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges by I. Tiddi,F. Lécué,P. Hitzler Pdf

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

H. Fujita,A. Selamat,S. Omatu
Knowledge Innovation Through Intelligent Software Methodologies Tools and Techniques Book PDF

Author : H. Fujita,A. Selamat,S. Omatu
Publisher : IOS Press
Page : 498 pages
File Size : 46,5 Mb
Release : 2020-09-30
Category : Computers
ISBN : 9781643681153

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Knowledge Innovation Through Intelligent Software Methodologies, Tools and Techniques by H. Fujita,A. Selamat,S. Omatu Pdf

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.

Current Trends on Knowledge-Based Systems

Giner Alor-Hernández,Rafael Valencia-García
Current Trends on Knowledge Based Systems Book PDF

Author : Giner Alor-Hernández,Rafael Valencia-García
Publisher : Springer
Page : 290 pages
File Size : 48,8 Mb
Release : 2017-03-13
Category : Technology & Engineering
ISBN : 9783319519050

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Current Trends on Knowledge-Based Systems by Giner Alor-Hernández,Rafael Valencia-García Pdf

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.

Intelligent Systems, Technologies and Applications

Marcin Paprzycki,Sabu M. Thampi,Sushmita Mitra,Ljiljana Trajkovic,El-Sayed M. El-Alfy
Intelligent Systems Technologies and Applications Book PDF

Author : Marcin Paprzycki,Sabu M. Thampi,Sushmita Mitra,Ljiljana Trajkovic,El-Sayed M. El-Alfy
Publisher : Springer Nature
Page : 438 pages
File Size : 54,9 Mb
Release : 2021-05-31
Category : Technology & Engineering
ISBN : 9789811607301

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Intelligent Systems, Technologies and Applications by Marcin Paprzycki,Sabu M. Thampi,Sushmita Mitra,Ljiljana Trajkovic,El-Sayed M. El-Alfy Pdf

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

Simon Fong,Nilanjan Dey,Amit Joshi
ICT Analysis and Applications Book PDF

Author : Simon Fong,Nilanjan Dey,Amit Joshi
Publisher : Springer Nature
Page : 763 pages
File Size : 46,5 Mb
Release : 2022-11-05
Category : Technology & Engineering
ISBN : 9789811952241

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ICT Analysis and Applications by Simon Fong,Nilanjan Dey,Amit Joshi Pdf

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

Leslie F. Sikos
AI in Cybersecurity Book PDF

Author : Leslie F. Sikos
Publisher : Springer
Page : 205 pages
File Size : 46,5 Mb
Release : 2018-09-17
Category : Technology & Engineering
ISBN : 9783319988429

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AI in Cybersecurity by Leslie F. Sikos Pdf

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

Kuo-Ming Chao,Lihong Jiang,Omar Khadeer Hussain,Shang-Pin Ma,Xiang Fei
Advances in E Business Engineering for Ubiquitous Computing Book PDF

Author : Kuo-Ming Chao,Lihong Jiang,Omar Khadeer Hussain,Shang-Pin Ma,Xiang Fei
Publisher : Springer Nature
Page : 633 pages
File Size : 50,6 Mb
Release : 2019-11-27
Category : Technology & Engineering
ISBN : 9783030349868

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Advances in E-Business Engineering for Ubiquitous Computing by Kuo-Ming Chao,Lihong Jiang,Omar Khadeer Hussain,Shang-Pin Ma,Xiang Fei Pdf

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

Shaokun Fan,Noyan Ilk,Zhe Shan,Kexin Zhao
From Grand Challenges to Great Solutions Digital Transformation in the Age of COVID 19 Book PDF

Author : Shaokun Fan,Noyan Ilk,Zhe Shan,Kexin Zhao
Publisher : Springer Nature
Page : 106 pages
File Size : 44,8 Mb
Release : 2022-04-02
Category : Computers
ISBN : 9783031041266

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From Grand Challenges to Great Solutions: Digital Transformation in the Age of COVID-19 by Shaokun Fan,Noyan Ilk,Zhe Shan,Kexin Zhao Pdf

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

R. Uday Kiran,Philippe Fournier-Viger,Jose M. Luna,Jerry Chun-Wei Lin,Anirban Mondal
Periodic Pattern Mining Book PDF

Author : R. Uday Kiran,Philippe Fournier-Viger,Jose M. Luna,Jerry Chun-Wei Lin,Anirban Mondal
Publisher : Springer Nature
Page : 263 pages
File Size : 52,5 Mb
Release : 2021-10-29
Category : Computers
ISBN : 9789811639647

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Periodic Pattern Mining by R. Uday Kiran,Philippe Fournier-Viger,Jose M. Luna,Jerry Chun-Wei Lin,Anirban Mondal Pdf

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

Felipe Gonzalez Toro,Antonios Tsourdos
UAV or Drones for Remote Sensing Applications Book PDF

Author : Felipe Gonzalez Toro,Antonios Tsourdos
Publisher : MDPI
Page : 381 pages
File Size : 52,7 Mb
Release : 2018-11-23
Category : Technology & Engineering
ISBN : 9783038970910

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UAV or Drones for Remote Sensing Applications by Felipe Gonzalez Toro,Antonios Tsourdos Pdf

This book is a printed edition of the Special Issue "UAV or Drones for Remote Sensing Applications" that was published in Sensors

Disaster Robotics

Satoshi Tadokoro
Disaster Robotics Book PDF

Author : Satoshi Tadokoro
Publisher : Springer
Page : 534 pages
File Size : 55,9 Mb
Release : 2019-01-20
Category : Technology & Engineering
ISBN : 9783030053215

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Disaster Robotics by Satoshi Tadokoro Pdf

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

Abhishek Majumder,Joy Lal Sarkar,Arindam Majumder
Artificial Intelligence and Data Science in Recommendation System Current Trends Technologies and Applications Book PDF

Author : Abhishek Majumder,Joy Lal Sarkar,Arindam Majumder
Publisher : Bentham Science Publishers
Page : 319 pages
File Size : 50,8 Mb
Release : 2023-08-16
Category : Computers
ISBN : 9789815136753

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Artificial Intelligence and Data Science in Recommendation System: Current Trends, Technologies and Applications by Abhishek Majumder,Joy Lal Sarkar,Arindam Majumder Pdf

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.

Applying Data Science

Arthur K. Kordon
Applying Data Science Book PDF

Author : Arthur K. Kordon
Publisher : Springer Nature
Page : 511 pages
File Size : 47,7 Mb
Release : 2020-09-12
Category : Computers
ISBN : 9783030363758

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Applying Data Science by Arthur K. Kordon Pdf

This book offers practical guidelines on creating value from the application of data science based on selected artificial intelligence methods. In Part I, the author introduces a problem-driven approach to implementing AI-based data science and offers practical explanations of key technologies: machine learning, deep learning, decision trees and random forests, evolutionary computation, swarm intelligence, and intelligent agents. In Part II, he describes the main steps in creating AI-based data science solutions for business problems, including problem knowledge acquisition, data preparation, data analysis, model development, and model deployment lifecycle. Finally, in Part III the author illustrates the power of AI-based data science with successful applications in manufacturing and business. He also shows how to introduce this technology in a business setting and guides the reader on how to build the appropriate infrastructure and develop the required skillsets. The book is ideal for data scientists who will implement the proposed methodology and techniques in their projects. It is also intended to help business leaders and entrepreneurs who want to create competitive advantage by using AI-based data science, as well as academics and students looking for an industrial view of this discipline.