Applied modelling and computing in social science

by Janez Povh (Editor)

Overview

The book contains latest results in modelling the problems from social science domain by advanced computing approaches. Results about business simulation and optimization, knowledge extractions from big data, understanding and predicting the social behaviour, modelling health and environmental changes highlight the potential of underlying modelling and computing methods.

Product Details

ISBN-13:	9783631663660
Publisher:	Peter Lang GmbH, Internationaler Verlag der Wissenschaften
Publication date:	05/26/2015
Pages:	128
Product dimensions:	5.83(w) x 8.27(h) x 0.02(d)

About the Author

Janez Povh is Professor at the Faculty of Information Studies in Novo mesto, Slovenia. His work is focused on mathematical basics for data technologies and applications of advanced data technologies in big data analysis.

Table of Contents

Contents: Biljana Mileva Boshkoska/Nadja Damij: An outline for business process modelling using spreadsheets – Tadej Kanduč/Blaž Rodič: Manufacturing processes optimisation in a furniture factory – Borut Rončević/Urška Fric: Researching Industrial Symbiosis: Challenges and Dilemmas – Petar Juric/Maja Matetic/Marija Brkic: Game-based Learning and Social Media API in Higher Education – Andrej Kovačič/Nevenka Podgornik: Negatively Biased Media in Slovenia – Andrej Dobrovoljc/Jože Bučar: Measuring security culture of users of online banking – Jana Suklan/Vesna Žabkar: Modelling Synergies between Online and Offline Media – Jernej Agrež/Miroslav Bača/Nadja Damij: An open framework biometric system optimisation – Biljana Mileva Boshkoska: A framework for qualitative evaluation of air pollution levels – Albert Zorko/Zoran Levnajić: The overview of recent findings in diagnostics of mental disorders – Dragana Miljkovic/Kristina Gruden/Nada Lavrač: Improving biological models with experts knowledge and literature.