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Titlebook: Database and Expert Systems Applications; 32nd International C Christine Strauss,Gabriele Kotsis,Ismail Khalil Conference proceedings 2021

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書目名稱Database and Expert Systems Applications
副標(biāo)題32nd International C
編輯Christine Strauss,Gabriele Kotsis,Ismail Khalil
視頻videohttp://file.papertrans.cn/264/263489/263489.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Database and Expert Systems Applications; 32nd International C Christine Strauss,Gabriele Kotsis,Ismail Khalil Conference proceedings 2021
描述This two-volume set, LNCS 12923 and 12924, constitutes the thoroughly refereed proceedings of the 5.th. International Conference on Database and Expert Systems Applications, DEXA 2021. Due to COVID-19 pandemic, the conference was held virtually.. The 37 full papers presented together with 31 short papers in these volumes were carefully reviewed and selected from a total of 149 submissions. The papers are organized around the following topics: big data; data analysis and data modeling; data mining; databases and data management; information retrieval; prediction and decision support..
出版日期Conference proceedings 2021
關(guān)鍵詞artificial intelligence; computer networks; knowledge management; big data; computer vision; data mining;
版次1
doihttps://doi.org/10.1007/978-3-030-86475-0
isbn_softcover978-3-030-86474-3
isbn_ebook978-3-030-86475-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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neue betriebswirtschaftliche forschung (nbf)stions of items for the person who is currently logged in. In short, the problem is solved by identifying online sessions on a platform and afterward, clustering these sessions to identify the profiles of the users behind the (potentially) shared account.
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0302-9743 and Expert Systems Applications, DEXA 2021. Due to COVID-19 pandemic, the conference was held virtually.. The 37 full papers presented together with 31 short papers in these volumes were carefully reviewed and selected from a total of 149 submissions. The papers are organized around the following t
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Hans-Erwin Hermann,Otto Max Schaefereme, which exploits URI for improving retailer revenue. We also conduct a performance evaluation with two real datasets to demonstrate that URIP is indeed effective in improving retailer revenue w.r.t. existing schemes.
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Catherine Collins,David Douglasssentiment analysis task and experimented with evaluating the method. We found that our scalable crowdsourcing-based quality management method could improve task results by using implicit feedback and improved worker motivation by providing explicit feedback.
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