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Innovations in Big Data Mining and Embedded Knowledge

E-BookPDF1 - PDF WatermarkE-Book
276 Seiten
Englisch
Springer International Publishingerschienen am03.07.20191st ed. 2019
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
mehr
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BuchGebunden
EUR149,79
E-BookPDF1 - PDF WatermarkE-Book
EUR96,29

Produkt

KlappentextThis 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
Details
Weitere ISBN/GTIN9783030159399
ProduktartE-Book
EinbandartE-Book
FormatPDF
Format Hinweis1 - PDF Watermark
FormatE107
Erscheinungsjahr2019
Erscheinungsdatum03.07.2019
Auflage1st ed. 2019
Reihen-Nr.159
Seiten276 Seiten
SpracheEnglisch
IllustrationenXIX, 276 p. 62 illus., 40 illus. in color.
Artikel-Nr.4654460
Rubriken
Genre9200

Inhalt/Kritik

Inhaltsverzeichnis
Designing a Recommender System for Touristic Activities in a Big Data as a Service Platform.- A Scalable, Transparent Meta-Learning Paradigm for Big Data Applications.- Towards Addressing the Limitations of Educational Policy based on International Large-scale Assessment Data with Castoriadean Magmas.- What do Prospective Students Want? An Observational Study of Preferences About Subject of Study in Higher Education.- Speech Pause Patterns in Collaborative Dialogs.mehr

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