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عنوان
Innovations in big data mining and embedded knowledge /

پدید آورنده
Anna Esposito, Antonietta M. Esposito, Lakhmi C. Jain, editors.

موضوع
Big data.,Data mining.,Big data.,Data mining.

رده
QA76
.
9
.
B45

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
3030159396
(Number (ISBN
9783030159399
Erroneous ISBN
9783030159382

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Innovations in big data mining and embedded knowledge /
General Material Designation
[Book]
First Statement of Responsibility
Anna Esposito, Antonietta M. Esposito, Lakhmi C. Jain, editors.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Cham, Switzerland :
Name of Publisher, Distributor, etc.
Springer Nature,
Date of Publication, Distribution, etc.
[2019]
Date of Publication, Distribution, etc.
©2019

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
1 online resource

SERIES

Series Title
Intelligent systems reference library ;
Volume Designation
v. 159

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references and index.

CONTENTS NOTE

Text of Note
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.
0

SUMMARY OR ABSTRACT

Text of Note
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.

ACQUISITION INFORMATION NOTE

Source for Acquisition/Subscription Address
Springer Nature
Stock Number
com.springer.onix.9783030159399

TOPICAL NAME USED AS SUBJECT

Big data.
Data mining.
Big data.
Data mining.

DEWEY DECIMAL CLASSIFICATION

Number
005
.
7
Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
QA76
.
9
.
B45

PERSONAL NAME - ALTERNATIVE RESPONSIBILITY

Esposito, Anna
Esposito, Antonietta M.
Jain, L. C.

ORIGINATING SOURCE

Date of Transaction
20200823084832.0
Cataloguing Rules (Descriptive Conventions))
pn

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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