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El. knyga: Social sciences via network analysis and computation

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  • Formatas: EPUB+DRM
  • Išleidimo metai: 04-May-2015
  • Leidėjas: Peter Lang AG
  • Kalba: eng
  • ISBN-13: 9783653963588
  • Formatas: EPUB+DRM
  • Išleidimo metai: 04-May-2015
  • Leidėjas: Peter Lang AG
  • Kalba: eng
  • ISBN-13: 9783653963588

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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.
Preface 9
Text analysis and computations
Web Clipping and Sentiment Analysis of Slovenian news articles
11(10)
Joie Bucar
Janez Povh
Andrej Dobrovoljc
Machine Learning in Classification of News Portal Articles
21(8)
Renato Barisic
Joze Bucar
Network Motifs Analysis of Croatian Literature
29(10)
Hana Rizvic
Sanda Martincic-Ipsic
Ana Mestrovic
Toward Network-based Keyword Extraction from Multitopic Web Documents
39(14)
Sabina Sisovic
Sanda Martincic-Ipsic
Ana Mestrovic
Implementations of methods in practice
Automatic invoice capture in small and medium-sized Slovenian enterprises -- project report
53(16)
Darko Zelenika
Andrej Dobrovoljc
Robert Pezdirc
Helena Novosel
Simon Kegljevic
Janez Povh
Bernard Zenko
Information System Mirror -- Approach How to Analyze Information System Strengths and Weaknesses within Organization
69(10)
Bostjan Delak
Comparison of SAS/STAT Procedures and Variable Neighborhood Search Based Clustering Applied on Telekom Serbia Data
79(10)
Stefana Janicijevic
Dragan Urosevic
Nenad Mladenovic
Theoretical results on networks and methods
Measuring Classification-Tree Comprehensibility
89(24)
Rok Piltaver
Mitja Lustrek
Matjaz Gams
Sanda Martincic-Ipsic
On vertex-parity and weak vertex-parity edge-colorings
113(8)
Borut Luzar
Mirko Petrusevski
Riste Skrekovski
Diameter on some classes of fullerene graphs
121
Vesna Andova
Frantisek Kardos
Riste Skrekovski
Tadej Kandu 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.