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Titlebook: Databases Theory and Applications; 31st Australasian Da Renata Borovica-Gajic,Jianzhong Qi,Weiqing Wang Conference proceedings 2020 Springe

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發(fā)表于 2025-3-21 19:41:25 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Databases Theory and Applications
副標題31st Australasian Da
編輯Renata Borovica-Gajic,Jianzhong Qi,Weiqing Wang
視頻videohttp://file.papertrans.cn/264/263532/263532.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Databases Theory and Applications; 31st Australasian Da Renata Borovica-Gajic,Jianzhong Qi,Weiqing Wang Conference proceedings 2020 Springe
描述.This book constitutes the refereed proceedings of the 31th Australasian Database Conference, ADC 2019, held in Melbourne, VIC, Australia, in February 2020. The 14 full and 5 short papers presented were carefully reviewed and selected from 30 submissions. The Australasian Database Conference is an annual international forum for sharing the latest research advancements and novel applications of database systems, data driven applications and data analytics between researchers and practitioners from around the globe, particularly Australia, New Zealand and in the World..
出版日期Conference proceedings 2020
關(guān)鍵詞artificial intelligence; data mining and knowledge discovery; data warehousing; database integration; da
版次1
doihttps://doi.org/10.1007/978-3-030-39469-1
isbn_softcover978-3-030-39468-4
isbn_ebook978-3-030-39469-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Hulda R. Jonsdottir,Ronald Dijkmanain experts and knowledge engineers who work together to bring out the required knowledge for building the information system. The most popular modelling approaches to develop these models include entity relationship modelling, object role modelling, and object-oriented modelling. These conceptual m
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Chantal J. Snoeck,Siamak Zoharication-based queries on road networks. Under the large demand of ride-hailing, the non-occupied vehicles might be insufficient for new-coming user requests. However, the occupied vehicles which are about to arrive their destinations could be the candidates to serve the requests close to their destin
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Elena Lokhman,Srijana Rai,William Matthewslassical indexes offer optimal worst-case guarantees, recent research suggests that average-case performance might be improved by alternative machine learning-based models such as deep neural networks. This paper explores an alternative approach by modelling the task as one of function approximation
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Luis Enjuanes,Stuart G. Siddell,Willy Spaanntations for node enhancement based on nodes attributes and network structures can improve link prediction performance. Node attributes are important factors in forming networks, like psychological factors and appearance features affecting friendship networks. However, little to no work has detected
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