Overview

In recent years information and communication technologies have gained significant importance in the social sciences. Because there is such rapid growth of knowledge, methods and computer infrastructure, research can now seamlessly connect interdisciplinary fields such as business process management, data processing and mathematics. This study presents some of the latest results, practices and state-of-the-art approaches in network analysis, machine learning, data mining, data clustering and classifications in the contents of social sciences. It also covers various real-life examples such as the analysis of web sentiments, interconnections of methods for text recognition, text analysis and segmentation, information system management and decision support approaches in marketing.

Full Product Details

Author:   Tadej Kanduc
Publisher:   Peter Lang AG
Imprint:   Peter Lang AG
Edition:   New edition
Dimensions:   Width: 14.80cm , Height: 1.00cm , Length: 21.00cm
Weight:   0.180kg
ISBN:  

9783631665220

ISBN 10:   3631665229
Pages:   127
Publication Date:   26 May 2015
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock  
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Contents: Jože Bučar/Janez Povh/Andrej Dobrovoljc: Web Clipping and Sentiment Analysis of Slovenian news articles – Renato Barišić/Jože Bučar: Machine Learning in Classification of News Portal Articles – Hana Rizvić/Sanda Martinčić-Ipšić/Ana Meštrović: Network Motifs Analysis of Croatian Literature – Sabina Šišović/Sanda Martinčić-Ipšić/Ana Meštrović: Toward Network-based Keyword Extraction from Multitopic Web Documents – Darko Zelenika/Andrej Dobrovoljc/Robert Pezdirc/Helena Novosel/Simon Kegljevič/Janez Povh/Bernard Ženko: Automatic invoice capture in small and medium-sized Slovenian enterprises - project report – Boštjan Delak: Information System Mirror - Approach How to Analyze Information System Strengths and Weaknesses within Organization – Stefana Janicijevic/Dragan Urosevic/Nenad Mladenovic: Comparison of SAS/STAT Procedures and Variable Neighborhood Search Based Clustering Applied on Telekom Serbia Data – Rok Piltaver/Mitja Luštrek/Matjaž Gams/Sanda Martinčić-Ipšić: Measuring Classification-Tree Comprehensibility – Borut Lužar/Mirko Petruševski/Riste Škrekovski: On vertex-parity and weak vertex-parity edge-colorings – Vesna Andova/František Kardoš/Riste Škrekovski: Diameter on some classes of fullerene graphs.

Reviews

Author Information

Tadej Kanduč is a researcher at the Faculty of Information Studies in Novo mesto, Slovenia. His work focuses on discrete and agent based modelling and simulation, optimisation algorithms and parallel programming.

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions