Social sciences via network analysis and computation
著者
書誌事項
Social sciences via network analysis and computation
PL Academic Research, c2015
大学図書館所蔵 全1件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references
内容説明・目次
内容説明
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.
目次
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.
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