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Titlebook: Business Information Systems; 13th International C Witold Abramowicz,Robert Tolksdorf Conference proceedings 2010 Springer-Verlag Berlin He

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發(fā)表于 2025-3-21 16:52:45 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Business Information Systems
期刊簡稱13th International C
影響因子2023Witold Abramowicz,Robert Tolksdorf
視頻videohttp://file.papertrans.cn/193/192171/192171.mp4
學(xué)科分類Lecture Notes in Business Information Processing
圖書封面Titlebook: Business Information Systems; 13th International C Witold Abramowicz,Robert Tolksdorf Conference proceedings 2010 Springer-Verlag Berlin He
Pindex Conference proceedings 2010
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書目名稱Business Information Systems影響因子(影響力)




書目名稱Business Information Systems影響因子(影響力)學(xué)科排名




書目名稱Business Information Systems網(wǎng)絡(luò)公開度




書目名稱Business Information Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Business Information Systems被引頻次




書目名稱Business Information Systems被引頻次學(xué)科排名




書目名稱Business Information Systems年度引用




書目名稱Business Information Systems年度引用學(xué)科排名




書目名稱Business Information Systems讀者反饋




書目名稱Business Information Systems讀者反饋學(xué)科排名




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1865-1348 Overview: 978-3-642-12813-4978-3-642-12814-1Series ISSN 1865-1348 Series E-ISSN 1865-1356
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R. H. Dashwood,R. D. Combes,J. Ashbyst valuable for search are Wikipedia infoboxes, which display an article’s most relevant facts as a table of attribute-value pairs on the top right-hand side of the Wikipedia page. Infobox data is not used by Wikipedia’s own search engine. Standard Web search engines like Google or Yahoo also do not
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R. H. Dashwood,R. D. Combes,J. Ashbyrough informal interactions and aggregate these interactions into collective structures. A challenge in these systems is to discover, organize and manage the knowledge model of topics found within the enterprise. In this paper we aim to enhance the search and recommendation functionalities of ESS by
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On The Role of Calcium in Chemical Toxicityin the execution of business processes and (2) to the quality of decisions based on the output of the respective information system. Recently, the Semantic Web and Linked Data activities have started to provide substantial data resources that may be used for real business operations. Hence, it will
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https://doi.org/10.1007/978-3-642-72558-6cientific and commercial discussions. This paper examines Web Mining and machine learning methods for these purposes. Based on automatically detectable features, various blog-specific quality models are trained using machine learning methods. Data from several thousand blogs in three languages has b
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