Innovations in Big Data Mining and Embedded Knowledge
This book addresses the usefulness of knowledge discovery through data mining. With this aim, contributors from different fields propose concrete problems and applications showing how data mining and discovering embedded knowledge from raw data can be ben
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Anna Esposito Antonietta M. Esposito Lakhmi C. Jain Editors
Innovations in Big Data Mining and Embedded Knowledge
Intelligent Systems Reference Library Volume 159
Series Editors Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland Lakhmi C. Jain, Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, University of Technology, Sydney, NSW, Australia; Faculty of Science, Technology and Mathematics, University of Canberra, Canberra, ACT, Australia; KES International, Shoreham-by-Sea, UK; Liverpool Hope University, Liverpool, UK
The aim of this series is to publish a Reference Library, including novel advances and developments in all aspects of Intelligent Systems in an easily accessible and well structured form. The series includes reference works, handbooks, compendia, textbooks, well-structured monographs, dictionaries, and encyclopedias. It contains well integrated knowledge and current information in the field of Intelligent Systems. The series covers the theory, applications, and design methods of Intelligent Systems. Virtually all disciplines such as engineering, computer science, avionics, business, e-commerce, environment, healthcare, physics and life science are included. The list of topics spans all the areas of modern intelligent systems such as: Ambient intelligence, Computational intelligence, Social intelligence, Computational neuroscience, Artificial life, Virtual society, Cognitive systems, DNA and immunity-based systems, e-Learning and teaching, Human-centred computing and Machine ethics, Intelligent control, Intelligent data analysis, Knowledge-based paradigms, Knowledge management, Intelligent agents, Intelligent decision making, Intelligent network security, Interactive entertainment, Learning paradigms, Recommender systems, Robotics and Mechatronics including human-machine teaming, Self-organizing and adaptive systems, Soft computing including Neural systems, Fuzzy systems, Evolutionary computing and the Fusion of these paradigms, Perception and Vision, Web intelligence and Multimedia. ** Indexing: The books of this series are submitted to ISI Web of Science, SCOPUS, DBLP and Springerlink.
More information about this series at http://www.springer.com/series/8578
Anna Esposito Antonietta M. Esposito Lakhmi C. Jain •
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Editors
Innovations in Big Data Mining and Embedded Knowledge
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Editors Anna Esposito Dipartimento di Psicologia and International Institute for Advanced Scientific Studies (IIASS) Università degli Studi della Campania “Luigi Vanvitelli” Caserta, Italy
Antonietta M. Esposito Sezione di Napoli, Osservatorio Vesuviano Istituto Nazionale di Geofisica e Vulcanologia Napoli, Italy
Lakhmi C. Jain University of Technology Sydney Sydney, Australia University of Canberra Canberra, ACT, Australia KES International Shoreham-by-Sea, UK Liverpool Hope University Liverpool, UK
ISSN 1868-4394 ISSN 1868-4408 (electronic) Intelligent Systems Reference Library ISBN 978-3-030-15938-2 ISBN 978-3-030-15939-9 (eBook) https://doi.org/10.1007/978-3-030-15
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