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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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发表于 2025-3-21 16:52:45 | 显示全部楼层 |阅读模式
期刊全称Business Information Systems
期刊简称13th International C
影响因子2023Witold Abramowicz,Robert Tolksdorf
视频videohttp://file.papertrans.cn/193/192171/192171.mp4
学科分类Lecture Notes in Business Information Processing
图书封面Titlebook: Business Information Systems; 13th International C Witold Abramowicz,Robert Tolksdorf Conference proceedings 2010 Springer-Verlag Berlin He
Pindex Conference proceedings 2010
The information of publication is updating

书目名称Business Information Systems影响因子(影响力)




书目名称Business Information Systems影响因子(影响力)学科排名




书目名称Business Information Systems网络公开度




书目名称Business Information Systems网络公开度学科排名




书目名称Business Information Systems被引频次




书目名称Business Information Systems被引频次学科排名




书目名称Business Information Systems年度引用




书目名称Business Information Systems年度引用学科排名




书目名称Business Information Systems读者反馈




书目名称Business Information Systems读者反馈学科排名




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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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