Social sciences via network analysis and computation
(Sprache: Englisch)
The book includes some of the latest results in network analysis, machine learning, data mining and data clustering in the contents of social sciences. It covers various real-life examples such as analysis of text and sentiments, text recognition,...
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Produktinformationen zu „Social sciences via network analysis and computation “
The book includes some of the latest results in network analysis, machine learning, data mining and data clustering in the contents of social sciences. It covers various real-life examples such as analysis of text and sentiments, text recognition, information system management and decision support approaches in marketing.
Klappentext zu „Social sciences via network analysis and computation “
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.
Inhaltsverzeichnis zu „Social sciences via network analysis and computation “
Contents: Joze Bucar/Janez Povh/Andrej Dobrovoljc: Web Clipping and Sentiment Analysis of Slovenian news articles - Renato Barisic/Joze Bucar: Machine Learning in Classification of News Portal Articles - Hana Rizvic/Sanda Martincic-Ipsic/Ana Mestrovic: Network Motifs Analysis of Croatian Literature - Sabina Sisovic/Sanda Martincic-Ipsic/Ana Mestrovic: Toward Network-based Keyword Extraction from Multitopic Web Documents - Darko Zelenika/Andrej Dobrovoljc/Robert Pezdirc/Helena Novosel/Simon Kegljevic/Janez Povh/Bernard Zenko: Automatic invoice capture in small and medium-sized Slovenian enterprises - project report - Bostjan 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 Lustrek/Matjaz Gams/Sanda Martincic-Ipsic: Measuring Classification-Tree Comprehensibility - Borut Luzar/Mirko Petrusevski/Riste Skrekovski: On vertex-parity and weak vertex-parity edge-colorings - Vesna Andova/Frantisek Kardos/Riste Skrekovski: Diameter on some classes of fullerene graphs.
Autoren-Porträt
Tadej Kanduc 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.
Bibliographische Angaben
- 2015, 127 Seiten, Maße: 14,8 x 21 cm, Kartoniert (TB), Englisch
- Herausgegeben: Tadej Kanduc
- Verlag: Peter Lang Ltd. International Academic Publishers
- ISBN-10: 3631665229
- ISBN-13: 9783631665220
- Erscheinungsdatum: 26.05.2015
Sprache:
Englisch
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