Innovations in Big Data Mining and Embedded Knowledge - Couverture souple

9783030159412: Innovations in Big Data Mining and Embedded Knowledge

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ISBN 10 : 3030159418 ISBN 13 : 9783030159412

Editeur : Springer, 2020

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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 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

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteurSpringer
Date d'�dition2020
ISBN 10 3030159418
ISBN 13 9783030159412
ReliureBroch�
Langueanglais
Nombre de pages296
�diteurEsposito Anna, Esposito Antonietta M., Jain Lakhmi C.
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9783030159382: Innovations in Big Data Mining and Embedded Knowledge

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ISBN 10 : 3030159388 ISBN 13 : 9783030159382
Editeur : Springer Nature Switzerland AG, 2019
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Innovations in Big Data Mining and Embedded Knowledge

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ISBN 10 : 3030159418 ISBN 13 : 9783030159412

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Innovations in Big Data Mining and Embedded Knowledge

Esposito, Anna|Esposito, Antonietta M.|Jain, Lakhmi C

Edit� par Springer International Publishing, 2020

ISBN 10 : 3030159418 ISBN 13 : 9783030159412

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Etat : 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&nbspIncludes contributions from various fields . N� de r�f. du vendeur 448673784

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Innovations in Big Data Mining and Embedded Knowledge

Anna Esposito

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ISBN 10 : 3030159418 ISBN 13 : 9783030159412

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Taschenbuch. Etat : 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 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. N� de r�f. du vendeur 9783030159412

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Innovations in Big Data Mining and Embedded Knowledge

Anna Esposito

Edit� par Springer International Publishing Aug 2020, 2020

ISBN 10 : 3030159418 ISBN 13 : 9783030159412

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Taschenbuch. Etat : 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. N� de r�f. du vendeur 9783030159412

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