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Titlebook: Database Systems for Advanced Applications; DASFAA 2017 Internat Zhifeng Bao,Goce Trajcevski,Wen Hua Conference proceedings 2017 Springer I

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書目名稱Database Systems for Advanced Applications
副標(biāo)題DASFAA 2017 Internat
編輯Zhifeng Bao,Goce Trajcevski,Wen Hua
視頻videohttp://file.papertrans.cn/264/263432/263432.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Database Systems for Advanced Applications; DASFAA 2017 Internat Zhifeng Bao,Goce Trajcevski,Wen Hua Conference proceedings 2017 Springer I
描述This book constitutes the workshop proceedings of the 22nd International Conference on Database Systems for Advanced Applications, DASFAA 2017, held in Suzhou, China, in March 2017.?The 32 full papers and 5 short papers presented were carefully selected and reviewed from 43 submissions to the four following workshops: the 4th International Workshop? on Big Data Management and Service, BDMS 2017; the Second International Workshop on Big Data Quality Management, BDQM 2017; the 4th International Workshop on Semantic Computing and Personalization, SeCoP 2017; and the First International Workshop on Data Management and Mining on MOOCs, DMMOOC 2017..
出版日期Conference proceedings 2017
關(guān)鍵詞cloud databases; data mining; privacy and security in databases; social data managment; Web databases; da
版次1
doihttps://doi.org/10.1007/978-3-319-55705-2
isbn_softcover978-3-319-55704-5
isbn_ebook978-3-319-55705-2Series 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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Nicolas F. A. J. Carette,Frans van Walree path on the tree (the best T-pattern matches the trajectory to be predicted). The RTMatch can provide real-time analysis during the on the fly processing. Experiments on the actual data prove that our method is more accuracy and efficiency than some existing methods.
5#
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https://doi.org/10.1007/978-94-6265-555-3ub dataset is used to carry out a comprehensive experiment. The experimental results which carried out with DataHub set show that the proposed quantization rule and the improved PageRank algorithm can greatly improve the sorting result of the data set and reduce the effect of invalid data set on the sorting result.
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發(fā)表于 2025-3-22 16:39:05 | 只看該作者
Alexandra C. Gunn,N. Ruth Gassonthe generated keywords, we design two algorithms to extract values for imputation from the search results. Extensive experimental results based on real-world data collections show that the proposed approach could impute missing values efficiently and effectively compared to existing approach.
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發(fā)表于 2025-3-22 18:58:38 | 只看該作者
Which Mapping Service Should We Select in China? in this paper. We first design a questionnaire and analyze the results to show the current mapping service situation in China; then, we introduce and summarize the most three popular native mapping APIs in China, e.g., Baidu Maps API, Amap API and Sogou Maps API, to give readers a brief guider for selecting their suitable mapping services.
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發(fā)表于 2025-3-22 21:24:33 | 只看該作者
An Online Prediction Framework for Dynamic Service-Generated QoS Big Data for service-generated QoS big data prediction, named DSPMF. Under this framework, we present an optimization objective function and employ online stochastic gradient descent algorithm to solve this function. Extensive experiments are conducted to verify the effectiveness and efficiency of our proposed approach.
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發(fā)表于 2025-3-23 03:04:28 | 只看該作者
RTMatch: Real-Time Location Prediction Based on Trajectory Pattern Matching path on the tree (the best T-pattern matches the trajectory to be predicted). The RTMatch can provide real-time analysis during the on the fly processing. Experiments on the actual data prove that our method is more accuracy and efficiency than some existing methods.
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發(fā)表于 2025-3-23 08:00:23 | 只看該作者
RDF Data Assessment Based on Metrics and Improved PageRank Algorithmub dataset is used to carry out a comprehensive experiment. The experimental results which carried out with DataHub set show that the proposed quantization rule and the improved PageRank algorithm can greatly improve the sorting result of the data set and reduce the effect of invalid data set on the sorting result.
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