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Beschreibung
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.
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.
Über den Autor
Tadej Kandü 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.
Inhaltsverzeichnis
Contents: Jože Büar/Janez Povh/Andrej Dobrovoljc: Web Clipping and Sentiment Analysis of Slovenian news articles - Renato Bariši/Jože Büar: Machine Learning in Classification of News Portal Articles - Hana Rizvi/Sanda Martini-Ipši/Ana Meštrovi: Network Motifs Analysis of Croatian Literature - Sabina Šišovi/Sanda Martini-Ipši/Ana Meštrovi: Toward Network-based Keyword Extraction from Multitopic Web Documents - Darko Zelenika/Andrej Dobrovoljc/Robert Pezdirc/Helena Novosel/Simon Kegljevi/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 Martini-Ipši: 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.
Details
Erscheinungsjahr: 2015
Genre: Informatik, Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9783631665220
ISBN-10: 3631665229
Sprache: Englisch
Herstellernummer: 266522
Einband: Kartoniert / Broschiert
Redaktion: Kanduc, Tadej
Auflage: 1. Auflage
Hersteller: Peter Lang
Peter Lang GmbH, Internationaler Verlag der Wissenschaften
Verantwortliche Person für die EU: Lang, Peter GmbH, Gontardstr. 11, D-10178 Berlin, r.boehm-korff@peterlang.com
Maße: 210 x 148 x 8 mm
Von/Mit: Tadej Kanduc
Erscheinungsdatum: 26.05.2015
Gewicht: 0,177 kg
Artikel-ID: 104030684

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