9783030159412 - innovations in big data mining and embedded knowledge (intelligent systems reference library, band 159) (4 Ergebnisse)
Sprache: Englisch
Verlag: Springer, 2020
Serie: Buch 132 von 188 - Intelligent Systems Reference Library
- Softcover
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Innovations in Big Data Mining and Embedded Knowledge
Esposito, Anna (Editor)/ Esposito, Antonietta M. (Editor)/ Jain, Lakhmi C. (Editor)
Sprache: Englisch
Verlag: Springer Nature, 2020
Serie: Buch 132 von 188 - Intelligent Systems Reference Library
- Softcover
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Paperback. Zustand: Brand New. 296 pages. 9.25x6.10x0.55 inches. In Stock.
Weitere BilderSprache: Englisch
Verlag: Springer, 2020
Serie: Buch 132 von 188 - Intelligent Systems Reference Library
- Softcover
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Taschenbuch. Zustand: Neu. Innovations in Big Data Mining and Embedded Knowledge | Anna Esposito (u. a.) | Taschenbuch | Intelligent Systems Reference Library | xix | Englisch | 2020 | Springer | EAN 9783030159412 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann…[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer International Publishing, 2020
Serie: Buch 132 von 188 - Intelligent Systems Reference Library
- Softcover
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 b…e beneficial to social organizations, domestic spheres, and ICT markets.Data mining or knowledge discovery in databases (KDD) has received increasing interest due to its focus on transforming large amounts of data into novel, valid, useful, and structured knowledge by detecting concealed patterns and relationships.The concept of knowledge is broad and speculative and has promoted epistemological debates in western philosophies. The intensified interest in knowledge management and data mining stems from the difficulty in identifying computational models able to approximate human behaviors and abilities in resolving organizational, social, and physical problems. Current ICT interfaces are not yet adequately advanced to support and simulate the abilities of physicians, teachers, assistants or housekeepers in domestic spheres. And unlike in industrial contexts where abilities are routinely applied, the domestic world is continuously changing and unpredictable. There are challenging questions in this field: Can knowledge locked in conventions, rules of conduct, common sense, ethics, emotions, laws, cultures, and experiences be mined from data Is it acceptable for automatic systems displaying emotional behaviors to govern complex interactions based solely on the mining of large volumes of data Discussing multidisciplinary themes, the book proposes computational models able to approximate, to a certain degree, human behaviors and abilities in resolving organizational, social, and physical problems.The innovations presented are of primary importance for:a. The academic research communityb. The ICT marketc. Ph.D. students and early stage researchersd. Schools, hospitals, rehabilitation and assisted-living centerse. Representatives from multimedia industries and standardization bodies.
