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Titlebook: Database and Expert Systems Applications; 33rd International C Christine Strauss,Alfredo Cuzzocrea,Ismail Khalil Conference proceedings 202

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书目名称Database and Expert Systems Applications
副标题33rd International C
编辑Christine Strauss,Alfredo Cuzzocrea,Ismail Khalil
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Database and Expert Systems Applications; 33rd International C Christine Strauss,Alfredo Cuzzocrea,Ismail Khalil Conference proceedings 202
描述This two-volume set, LNCS 13426 and 13427, constitutes the thoroughly refereed proceedings of the 33rd International Conference on Database and Expert Systems Applications, DEXA 2022, held in Vienna in August 2022..The 43 full papers presented together with 20 short papers in these volumes were carefully reviewed and selected from a total of 120 submissions. The papers are organized around the following topics: Big Data Management and Analytics, Consistency, Integrity, Quality of Data, Constraint Modelling and Processing, Database Federation and Integration, Interoperability, Multi-Databases, Data and Information Semantics, Data Integration, Metadata Management, and Interoperability, Data Structures and much more. .
出版日期Conference proceedings 2022
关键词artificial intelligence; computer hardware; computer networks; computer science; computer systems; comput
版次1
doihttps://doi.org/10.1007/978-3-031-12426-6
isbn_softcover978-3-031-12425-9
isbn_ebook978-3-031-12426-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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https://doi.org/10.1007/978-1-4614-4388-9 Time-series forecasting has been extensively studied. Many existing forecasting models tend to perform well when predicting short sequence time-series. However, their performances greatly degrade when dealing with the long one. Recently, more dedicated research has been done for this direction, and
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David Roessner,Lynne Manrique,Jongwon ParkFrom a developer’s point of view, we want to use a framework to automate creating persistent storage models and to map the entities between storage and backend. However, not all such frameworks offer sufficient authorization support. From a scientist’s perspective, we want to generally combine the f
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https://doi.org/10.1007/978-1-4614-4388-9opment of recurrent neural networks enables systems to better process sequence information to capture users’ long-term preferences. While it cannot effectively utilize both long-term and short-term preferences. In this paper, we propose a novel double-layer attention mechanism mode, which not only i
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