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Biometric and intelligent decision making support

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Biometric and intelligent decision making support/ by Arturas Kaklauskas.
Author:	Kaklauskas, Arturas.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xii, 220 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Decision support systems. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-13659-2
ISBN:	9783319136592 (electronic bk.)

Biometric and intelligent decision making support
Kaklauskas, Arturas.

Biometric and intelligent decision making support[electronic resource] /by Arturas Kaklauskas. - Cham :Springer International Publishing :2015. - xii, 220 p. :ill. (some col.), digital ;24 cm. - Intelligent systems reference library,v.811868-4394 ;. - Intelligent systems reference library ;v. 3..

Introduction to Intelligent Decision Support Systems -- Intelligent Decision Support Systems -- Passive House Model for Quantitative and Qualitative Analyses and its Intelligent System -- Biometric and Intelligent Self-Assessment of Student Progress System -- Web-based Biometric Computer Mouse Advisory System to Analyze a User's Emotions and Work Productivity -- Student Progress Assessment with the Help of an Intelligent Pupil Analysis System -- Recommender System to Analyze Student's Academic Performance.

This book presents different methods for analyzing the body language (movement, position, use of personal space, silences, pauses and tone, the eyes, pupil dilation or constriction, smiles, body temperature and the like) for better understanding people's needs and actions, including biometric data gathering and reading. Different studies described in this book indicate that sufficiently much data, information and knowledge can be gained by utilizing biometric technologies. This is the first, wide-ranging book that is devoted completely to the area of intelligent decision support systems, biometrics technologies and their integrations. This book is designated for scholars, practitioners and doctoral and master's degree students in various areas and those who are interested in the latest biometric and intelligent decision making support problems and means for their resolutions, biometric and intelligent decision making support systems and the theory and practice of their integration and the opportunities for the practical use of biometric and intelligent decision making support.

ISBN: 9783319136592 (electronic bk.)

Standard No.: 10.1007/978-3-319-13659-2doiSubjects--Topical Terms:

641932
Decision support systems.

LC Class. No.: T58.62

Dewey Class. No.: 658.403

Biometric and intelligent decision making support
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300 $a xii, 220 p. : $b ill. (some col.), digital ; $c 24 cm.
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505 0 $a Introduction to Intelligent Decision Support Systems -- Intelligent Decision Support Systems -- Passive House Model for Quantitative and Qualitative Analyses and its Intelligent System -- Biometric and Intelligent Self-Assessment of Student Progress System -- Web-based Biometric Computer Mouse Advisory System to Analyze a User's Emotions and Work Productivity -- Student Progress Assessment with the Help of an Intelligent Pupil Analysis System -- Recommender System to Analyze Student's Academic Performance.
520 $a This book presents different methods for analyzing the body language (movement, position, use of personal space, silences, pauses and tone, the eyes, pupil dilation or constriction, smiles, body temperature and the like) for better understanding people's needs and actions, including biometric data gathering and reading. Different studies described in this book indicate that sufficiently much data, information and knowledge can be gained by utilizing biometric technologies. This is the first, wide-ranging book that is devoted completely to the area of intelligent decision support systems, biometrics technologies and their integrations. This book is designated for scholars, practitioners and doctoral and master's degree students in various areas and those who are interested in the latest biometric and intelligent decision making support problems and means for their resolutions, biometric and intelligent decision making support systems and the theory and practice of their integration and the opportunities for the practical use of biometric and intelligent decision making support.
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