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Titlebook: Database Systems for Advanced Applications; 23rd International C Jian Pei,Yannis Manolopoulos,Jianxin Li Conference proceedings 2018 Spring

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发表于 2025-3-21 17:27:49 | 显示全部楼层 |阅读模式
书目名称Database Systems for Advanced Applications
副标题23rd International C
编辑Jian Pei,Yannis Manolopoulos,Jianxin Li
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Database Systems for Advanced Applications; 23rd International C Jian Pei,Yannis Manolopoulos,Jianxin Li Conference proceedings 2018 Spring
描述This two-volume set LNCS 10827 and LNCS 10828 constitutes the refereed proceedings of the 23rd International Conference on Database Systems for Advanced Applications, DASFAA 2018, held in Gold Coast, QLD, Australia, in May 2018..The 83 full papers, 21 short papers, 6 industry papers, and 8 demo papers were carefully selected from a total of 360 submissions. The papers are organized around the following topics: network embedding; recommendation; graph and network processing; social network analytics; sequence and temporal data processing; trajectory and streaming data; RDF and knowledge graphs; text and data mining; medical data mining; security and privacy; search and information retrieval; query processing and optimizations; data quality and crowdsourcing; learning models; multimedia data processing; and distributed computing.   .
出版日期Conference proceedings 2018
关键词artificial intelligence; computational linguistics; computer networks; data mining; data security; image
版次1
doihttps://doi.org/10.1007/978-3-319-91452-7
isbn_softcover978-3-319-91451-0
isbn_ebook978-3-319-91452-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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https://doi.org/10.1007/978-3-319-91452-7artificial intelligence; computational linguistics; computer networks; data mining; data security; image
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978-3-319-91451-0Springer International Publishing AG, part of Springer Nature 2018
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Isosmotic Fluid Transport across Epithelia,from different perspectives, on one hand, most of the existing methods only focus on leveraging the plain network structure, ignoring the abundant attribute information of nodes. On the other hand, for some methods integrating the attribute information, only the lower-order proximities (e.g. microsc
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Moises Gaviria,Glorianna Montasng network embedding methods mostly focus on unsigned networks and ignore the negative interactions between users. In this paper, we investigate the problem of learning representations for signed networks and present a novel deep network structure to incorporate both the balance and status theory in
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Female Circumcision/Mutilation/Cutting. As a result, POI recommendation systems, which play a vital role in connecting users and POIs, have received extensive attention from both research and industry communities in the past few years. The challenges of POI recommendation come from the very sparse user check-in records with only positiv
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Olusegun Badejoko,Uchenna Onwudiegwuusers or items are elicited, more effective the recommendations are. However, almost all user rating datasets are sparse in the real-world applications. To acquire more ratings, the active learning based methods have been used to selectively choose the items (called interview items) to ask users for
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