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Titlebook: Web and Big Data; First International Lei Chen,Christian S. Jensen,Xiang Lian Conference proceedings 2017 Springer International Publishin

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发表于 2025-3-21 16:51:29 | 显示全部楼层 |阅读模式
书目名称Web and Big Data
副标题First International
编辑Lei Chen,Christian S. Jensen,Xiang Lian
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Web and Big Data; First International  Lei Chen,Christian S. Jensen,Xiang Lian Conference proceedings 2017 Springer International Publishin
描述.This two –volume set, LNCS 10366 and 10367, constitutes  the thoroughly refereed proceedings of the First International Joint Conference, APWeb-WAIM 2017, held in Beijing, China in July 2017...The 44 full papers presented together with 32 short papers and 10 demonstrations papers were carefully reviewed and selected from 240 submissions. The papers are organized around the following topics: spatial data processing and data quality; graph data processing; data mining, privacy and semantic analysis; text and log data management; social networks; data mining and data streams; query processing; topic modeling; machine learning; recommendation systems; distributed data processing and applications; machine learning and optimization..
出版日期Conference proceedings 2017
关键词spatial data processing and data quality; graph data processing; data mining, privacy and semantic ana
版次1
doihttps://doi.org/10.1007/978-3-319-63564-4
isbn_softcover978-3-319-63563-7
isbn_ebook978-3-319-63564-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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Personalized POI Groups Recommendation in Location-Based Social Networksgree to each PPG covering the target users’ POI preferences. The system recommends the target user with the PPGs which have the top-N largest scores, and it is one NP-hard problem. This paper proposes the greedy algorithm to solve it. Extensive experiments on the two LBSN datasets illustrate the effectiveness of our proposed algorithm.
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Skyline-Based Recommendation Considering User Preferences are recommended and attribute values in a dense area are quantized into a single value. The result of the experiments suggest that the density-aware scoring provides equal to or greater accuracy than the basic scoring.
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Distributed Data Mining for Root Causes of KPI Faults in Wireless Networksinterpretation of the tree model. In order to solve the problem of memory and efficiency associated with large-scale data, we parallelize the algorithm and distribute the tasks to multiple computers. The experiments show that DRCA is an effective, efficient, and scalable method.
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Distributed Data Mining for Root Causes of KPI Faults in Wireless Networksinterpretation of the tree model. In order to solve the problem of memory and efficiency associated with large-scale data, we parallelize the algorithm and distribute the tasks to multiple computers. The experiments show that DRCA is an effective, efficient, and scalable method.
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