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Titlebook: Database and Expert Systems Applications; 30th International C Sven Hartmann,Josef Küng,Ismail Khalil Conference proceedings 2019 Springer

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发表于 2025-3-21 17:40:07 | 显示全部楼层 |阅读模式
书目名称Database and Expert Systems Applications
副标题30th International C
编辑Sven Hartmann,Josef Küng,Ismail Khalil
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Database and Expert Systems Applications; 30th International C Sven Hartmann,Josef Küng,Ismail Khalil Conference proceedings 2019 Springer
描述.This two volume set of LNCS 11706 and LNCS 11707 constitutes the refereed proceedings of the 30th International Conference on Database and Expert Systems Applications, DEXA 2019, held in Linz, Austria, in August 2019...The 32 full papers presented together with 34 short papers were carefully reviewed and selected from 157 submissions. The papers are organized in the following topical sections: ..Part I: Big data management and analytics; data structures and data management; management and processing of knowledge; authenticity, privacy, security and trust; consistency, integrity, quality of data; decision support systems; data mining and warehousing...Part II: Distributed, parallel, P2P, grid and cloud databases; information retrieval; Semantic Web and ontologies; information processing; temporal, spatial, and high dimensional databases; knowledge discovery; web services..
出版日期Conference proceedings 2019
关键词artificial intelligence; data communication systems; data mining; data security; databases; information r
版次1
doihttps://doi.org/10.1007/978-3-030-27615-7
isbn_softcover978-3-030-27614-0
isbn_ebook978-3-030-27615-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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发表于 2025-3-21 23:48:01 | 显示全部楼层
Jonah Pears,Laura Bocchi,Andy Kingocess. We focus on Spark and show design and implementation of the proposed methods for Spark SQL. We verify by the experiments that our optimization methods really contribute to the reduction of the processing time of Spark SQL queries including row pattern matching.
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The ‘New’ Versus The ‘Old’ Economy Debates to access data in HBase storage, the AGAC will give the permission or deny by verifying user’s atomic operations and by analyzing user’s attributes according to the access control policies related to the data granularity level. This access control mechanism is verified on publically available emai
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https://doi.org/10.1007/978-3-642-15355-6arch results quality through long-range edges connecting pivots of different partitions. We present experimental results using real datasets that show that . applied to the . graph was able to decrease the construction time while increasing the approximate search recall when compared to the .. Regar
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Coordination of Internet Agentsntial privacy. We empirically evaluate the trade-off between the privacy guarantee and the error incurred for each of these non-parametric machine learning algorithms on benchmarks and real-world datasets..Our contribution is twofold. We show that functional perturbation is not only pragmatic for re
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Gul Agha,Nadeem Jamali,Carlos Varelavaluated the efficiency of PURE over the Berlin SPARQL Benchmark (BSBM). Observed results suggest that PURE is able to scale up to complex scenarios where a large number of rules represents diverse types of policies.
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