The 3rd International Workshop on Intelligent Data Analysis and Management
The 3rd International Workshop on Intelligent Data Analysis and Management

Author: Lorna Uden

Publisher: Springer Science & Business Media

Published: 2013-08-13

Total Pages: 134

ISBN-13: 9400772939

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These papers on Intelligent Data Analysis and Management (IDAM) examine issues related to the research and applications of Artificial Intelligence techniques in data analysis and management across a variety of disciplines. The papers derive from the 2013 IDAM conference in Kaohsiung ,Taiwan. It is an interdisciplinary research field involving academic researchers in information technologies, computer science, public policy, bioinformatics, medical informatics, and social and behavior studies, etc. The techniques studied include (but are not limited to): data visualization, data pre-processing, data engineering, database mining techniques, tools and applications, evolutionary algorithms, machine learning, neural nets, fuzzy logic, statistical pattern recognition, knowledge filtering, and post-processing, etc.

Intelligent Environments 2021
Intelligent Environments 2021

Author: M. Luštrek

Publisher: IOS Press

Published: 2021-07

Total Pages: 284

ISBN-13: 1643681877

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Intelligent environments (IE) combine physical spaces with ICT and pervasive technology to improve a user’s awareness of their surroundings, empower them to carry out tasks, enrich their experience, and enhance their ability to manage such environments. A growing community, from academia to practitioners, is working to bring intelligent environments to life. This work is driven by the innovative ideas and technological progress that are making the sensors and computing devices required for intelligent environments more affordable and energy-efficient. This book presents papers from Workshops held during the 17th International Conference on Intelligent Environments, IE2021. The conference was due to take place in Dubai, UAE, but was held as a virtual event from 21 to 24 June 2021 due to the restrictions associated with the Covid-19 pandemic. Included here are the proceedings of the 10th International Workshop on the Reliability of Intelligent Environments (WoRIE’21), the 3rd International Workshop on Intelligent Environments and Buildings (IEB’21), the 1st International Workshop on Self-Learning in Intelligent Environments (SeLIE’21), and the 1st International Workshop on Artificial Intelligence and Machine Learning for Emerging Topics (ALLEGET’21). The contributions to these workshops reflect the multi-disciplinary and transversal aspects of intelligent environments, and cover the latest research and development in intelligent environments and related areas, focusing on pushing the boundaries and contributing to the establishment of intelligent environments in the real world. Offering a state-of-the-art overview of current progress, the book will be of particular interest to all those working in the field of intelligent environments.

Foundations of Rule Learning
Foundations of Rule Learning

Author: Johannes Fürnkranz

Publisher: Springer Science & Business Media

Published: 2012-11-06

Total Pages: 345

ISBN-13: 3540751971

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Rules – the clearest, most explored and best understood form of knowledge representation – are particularly important for data mining, as they offer the best tradeoff between human and machine understandability. This book presents the fundamentals of rule learning as investigated in classical machine learning and modern data mining. It introduces a feature-based view, as a unifying framework for propositional and relational rule learning, thus bridging the gap between attribute-value learning and inductive logic programming, and providing complete coverage of most important elements of rule learning. The book can be used as a textbook for teaching machine learning, as well as a comprehensive reference to research in the field of inductive rule learning. As such, it targets students, researchers and developers of rule learning algorithms, presenting the fundamental rule learning concepts in sufficient breadth and depth to enable the reader to understand, develop and apply rule learning techniques to real-world data.

Encyclopedia of Data Warehousing and Mining, Second Edition
Encyclopedia of Data Warehousing and Mining, Second Edition

Author: Wang, John

Publisher: IGI Global

Published: 2008-08-31

Total Pages: 2542

ISBN-13: 1605660116

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There are more than one billion documents on the Web, with the count continually rising at a pace of over one million new documents per day. As information increases, the motivation and interest in data warehousing and mining research and practice remains high in organizational interest. The Encyclopedia of Data Warehousing and Mining, Second Edition, offers thorough exposure to the issues of importance in the rapidly changing field of data warehousing and mining. This essential reference source informs decision makers, problem solvers, and data mining specialists in business, academia, government, and other settings with over 300 entries on theories, methodologies, functionalities, and applications.

Big Data Analytics for Smart Transport and Healthcare Systems
Big Data Analytics for Smart Transport and Healthcare Systems

Author: Saeid Pourroostaei Ardakani

Publisher: Springer Nature

Published: 2024-01-04

Total Pages: 197

ISBN-13: 9819966205

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This book aims to introduce big data solutions in urban sustainability applications—mainly smart transportation and healthcare systems. It focuses on machine learning techniques and data processing approaches which have the capacity to handle/process huge, live, and complex datasets in real-time transportation and healthcare applications. For this, several state-of-the-art data processing approaches including data pre-processing, classification, regression, and clustering are introduced, tested, and evaluated to highlight their benefits and constraints where data is sensitive, real-time, and/or semi-structured.

Advanced Computational Methods for Knowledge Engineering
Advanced Computational Methods for Knowledge Engineering

Author: Hoai An Le Thi

Publisher: Springer

Published: 2015-05-04

Total Pages: 417

ISBN-13: 3319179969

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This volume contains the extended versions of papers presented at the 3rd International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2015) held on 11-13 May, 2015 in Metz, France. The book contains 5 parts: 1. Mathematical programming and optimization: theory, methods and software, Operational research and decision making, Machine learning, data security, and bioinformatics, Knowledge information system, Software engineering. All chapters in the book discuss theoretical and algorithmic as well as practical issues connected with computation methods & optimization methods for knowledge engineering and machine learning techniques.

Computer Science for Environmental Engineering and EcoInformatics
Computer Science for Environmental Engineering and EcoInformatics

Author: Yuanxu Yu

Publisher: Springer Science & Business Media

Published: 2011-07-18

Total Pages: 507

ISBN-13: 3642226906

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This two-volume set (CCIS 158 and CCIS 159) constitutes the refereed proceedings of the International Workshop on Computer Science for Environmental Engineering and EcoInformatics, CSEEE 2011, held in Kunming, China, in July 2011. The 150 revised full papers presented in both volumes were carefully reviewed and selected from a large number of submissions. The papers are organized in topical sections on computational intelligence; computer simulation; computing practices and applications; ecoinformatics; image processing information retrieval; pattern recognition; wireless communication and mobile computing; artificial intelligence and pattern classification; computer networks and Web; computer software, data handling and applications; data communications; data mining; data processing and simulation; information systems; knowledge data engineering; multimedia applications.

Intelligent Knowledge
Intelligent Knowledge

Author: Yong Shi

Publisher: Springer

Published: 2015-05-08

Total Pages: 160

ISBN-13: 3662461935

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This book is mainly about an innovative and fundamental method called “intelligent knowledge” to bridge the gap between data mining and knowledge management, two important fields recognized by the information technology (IT) community and business analytics (BA) community respectively. The book includes definitions of the “first-order” analytic process, “second-order” analytic process and intelligent knowledge, which have not formally been addressed by either data mining or knowledge management. Based on these concepts, which are especially important in connection with the current Big Data movement, the book describes a framework of domain-driven intelligent knowledge discovery. To illustrate its technical advantages for large-scale data, the book employs established approaches, such as Multiple Criteria Programming, Support Vector Machine and Decision Tree to identify intelligent knowledge incorporated with human knowledge. The book further shows its applicability by means of real-life data analyses in the contexts of internet business and traditional Chinese medicines.

MEDINFO 2001
MEDINFO 2001

Author: Vimla L. Patel

Publisher: IOS Press

Published: 2001

Total Pages: 724

ISBN-13: 9781586031947

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Technological infrastructure - Standards for interworking - Human-computer interaction - Knowledge representation - Information management - Decision support - Electronic patient records - Health information systems - Patient care aspects/telematics.