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Titlebook: Enterprise Information Systems; 22nd International C Joaquim Filipe,Micha? ?mia?ek,Slimane Hammoudi Conference proceedings 2021 Springer Na

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書目名稱Enterprise Information Systems
副標(biāo)題22nd International C
編輯Joaquim Filipe,Micha? ?mia?ek,Slimane Hammoudi
視頻videohttp://file.papertrans.cn/312/311474/311474.mp4
叢書名稱Lecture Notes in Business Information Processing
圖書封面Titlebook: Enterprise Information Systems; 22nd International C Joaquim Filipe,Micha? ?mia?ek,Slimane Hammoudi Conference proceedings 2021 Springer Na
描述This book constitutes extended, revised and selected papers from the 22nd International Conference on Enterprise Information Systems, ICEIS 2020, held online during May 5-7, 2020..The 41 papers presented in this volume were carefully reviewed and selected for inclusion in this book from a total of 255 submissions. They were organized in topical sections as follows: database and information systems integration; artificial intelligence and decision support systems; information systems analysis and specification; software agents and internet computing; human-computer interaction; and enterprise architecture..
出版日期Conference proceedings 2021
關(guān)鍵詞big data; data science; enterprise architecture; information integration; information systems; software d
版次1
doihttps://doi.org/10.1007/978-3-030-75418-1
isbn_softcover978-3-030-75417-4
isbn_ebook978-3-030-75418-1Series ISSN 1865-1348 Series E-ISSN 1865-1356
issn_series 1865-1348
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

書目名稱Enterprise Information Systems影響因子(影響力)




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




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




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




書目名稱Enterprise Information Systems被引頻次




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




書目名稱Enterprise Information Systems年度引用




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




書目名稱Enterprise Information Systems讀者反饋




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




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A Machine Learning Based Framework for Enterprise Document Classification classification rules behind the labelling process are informal and tend to change that complicates the labelling even more. We propose a machine learning based document classification framework (Framework) that allows for continuous retraining of the classification bots, for easy analysis of the bo
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Improving Corporate Support by Predicting Customer e-Mail Response Time: Experimental Evaluation anda reply at acceptable levels..By utilizing learning models based on the Random Forest Algorithm, the extent to which it is possible to predict e-Mail time-to-respond is investigated. This is investigated both for customers, but also for customer support agents. The former focusing on how long until
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An Investigation of Problem Instance Difficulty for Case-Based Reasoning and Heuristic Searcheady existing HSIs. This reuse should be automated, and we (meta-)modeled the HSI domain for .. These models together with additionally defined transformation rules that lead from a model of one specific HSI to another one facilitate automatic adaptations of HSI instances in these models and, hence,
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