9783030159382 - innovations in big data mining and embedded knowledge: 159 (intelligent systems reference library, 159) (21 resultados)
Idioma: Inglés
Editorial: Springer, 2019
Serie: Libro 132 de 188 - Intelligent Systems Reference Library
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Paperback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Innovations in Big Data Mining and Embedded Knowledge.
Esposito, Anna; Esposito, Antonietta M.; Jain, Lakhmi C. Eds.
Idioma: Inglés
Editorial: Cham, Springer International Publishing., 2019
Serie: Libro 132 de 188 - Intelligent Systems Reference Library
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- Primera edición
Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, AlemaniaUniversitätsbuchhandlung Herta Hold GmbH
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1st ed. 2019. XIX, 276 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Intelligent Systems Reference Library, 159. Sprache: Engl…isch.
Idioma: Inglés
Editorial: Springer, 2019
Serie: Libro 132 de 188 - Intelligent Systems Reference Library
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Librería: Basi6 International, Irving, TX, Estados Unidos de AmericaBasi6 International
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EUR 128,90
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Condición: Brand New. New. Delivery takes 25-30 days. Excellent Customer Service.
Idioma: Inglés
Editorial: Springer, 2019
Serie: Libro 132 de 188 - Intelligent Systems Reference Library
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Condición: Sehr gut. Zustand: Sehr gut | Seiten: 296 | Sprache: Englisch | Produktart: Bücher | 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 fro…m raw data can be 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 community b. The ICT market c. Ph.D. students and early stage researchers d. Schools, hospitals, rehabilitation and assisted-living centers e. Representatives from multimedia industries and standardization bodies.
Idioma: Inglés
Editorial: Springer, 2019
Serie: Libro 132 de 188 - Intelligent Systems Reference Library
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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Innovations in Big Data Mining and Embedded Knowledge
Esposito, Anna (EDT); Esposito, Antonietta M. (EDT); Jain, Lakhmi C. (EDT)
Idioma: Inglés
Editorial: Springer, 2019
Serie: Libro 132 de 188 - Intelligent Systems Reference Library
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Innovations in Big Data Mining and Embedded Knowledge
Esposito, Anna (EDT); Esposito, Antonietta M. (EDT); Jain, Lakhmi C. (EDT)
Idioma: Inglés
Editorial: Springer, 2019
Serie: Libro 132 de 188 - Intelligent Systems Reference Library
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Innovations in Big Data Mining and Embedded Knowledge
Esposito, Anna (EDT); Esposito, Antonietta M. (EDT); Jain, Lakhmi C. (EDT)
Idioma: Inglés
Editorial: Springer, 2019
Serie: Libro 132 de 188 - Intelligent Systems Reference Library
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Innovations in Big Data Mining and Embedded Knowledge
Esposito, Anna (EDT); Esposito, Antonietta M. (EDT); Jain, Lakhmi C. (EDT)
Idioma: Inglés
Editorial: Springer, 2019
Serie: Libro 132 de 188 - Intelligent Systems Reference Library
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Idioma: Inglés
Editorial: Springer, 2019
Serie: Libro 132 de 188 - Intelligent Systems Reference Library
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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Serie: Libro 132 de 188 - Intelligent Systems Reference Library
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Condición: New. 1st ed. 2019 edition NO-PA16APR2015-KAP.
Idioma: Inglés
Editorial: Springer International Publishing, 2019
Serie: Libro 132 de 188 - Intelligent Systems Reference Library
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Buch. Condición: 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 be ben…eficial 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.
Innovations in Big Data Mining and Embedded Knowledge
Esposito, Anna (Edited by)/ Esposito, Antonietta M. (Edited by)/ Jain, Lakhmi C. (Edited by)
Idioma: Inglés
Editorial: Springer, 2019
Serie: Libro 132 de 188 - Intelligent Systems Reference Library
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Hardcover. Condición: Brand New. 298 pages. 9.25x6.10x0.90 inches. In Stock.
Idioma: Inglés
Editorial: Springer, 2019
Serie: Libro 132 de 188 - Intelligent Systems Reference Library
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Hardcover. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 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 296 pp. Englisch.
Idioma: Inglés
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Serie: Libro 132 de 188 - Intelligent Systems Reference Library
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes theoretical foundations, practical applications, and case studiesAddresses the usefulness of knowledge discovery through data mining and knowledge embedding through innovative models Includes co…ntributions from various fields .
Idioma: Inglés
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 dat…a can be 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 bodiesSpringer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 296 pp. Englisch.
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