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Titlebook: Database and Expert Systems Applications; 29th International C Sven Hartmann,Hui Ma,Roland R. Wagner Conference proceedings 2018 Springer N

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書目名稱Database and Expert Systems Applications
副標(biāo)題29th International C
編輯Sven Hartmann,Hui Ma,Roland R. Wagner
視頻videohttp://file.papertrans.cn/264/263462/263462.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Database and Expert Systems Applications; 29th International C Sven Hartmann,Hui Ma,Roland R. Wagner Conference proceedings 2018 Springer N
描述.This two volume set of LNCS 11029 and LNCS 11030 constitutes the refereed proceedings of the 29th International Conference on Database and Expert Systems Applications, DEXA 2018, held in Regensburg, Germany, in September 2018..The 35 revised full papers presented together with 40 short papers were carefully reviewed and selected from 160 submissions. The papers of the first volume discuss a range of topics including: Big data analytics; data integrity and privacy; decision support systems; data semantics; cloud data processing; time series data; social networks; temporal and spatial databases; and graph data and road networks. The papers of the second volume discuss a range of the following topics: Information retrieval; uncertain information; data warehouses and recommender systems; data streams; information networks and algorithms; database system architecture and performance; novel database solutions; graph querying and databases; learning; emerging applications; data mining; privacy; and text processing..
出版日期Conference proceedings 2018
關(guān)鍵詞artificial intelligence; association rules; clustering; computational linguistics; data mining; data secu
版次1
doihttps://doi.org/10.1007/978-3-319-98812-2
isbn_softcover978-3-319-98811-5
isbn_ebook978-3-319-98812-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2018
The information of publication is updating

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CROP: An Efficient Cross-Platform Event Popularity Prediction Model for Online Media and explore the slot matching of event time series in diverse platforms. Moreover, we first define the aggregated popularity for the feature construction of event popularity prediction model. Finally, extensive experiments based on events data show that CROP achieves great improvement for predicting accuracy over other baseline approaches.
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Continuous Media with Microstructureve an efficient algorithm based on dynamic programming to mine itemsets in a simplified version of this model. Our experimental results show that assuming independence in correlated data sets leads to substantially incorrect results.
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Monika W?growska,Olga Szlachetkanotion of early information. We explore this option by first building a model of early information. The concepts of this model are used in developing an automated conflict resolution mechanism for integration of early information. Finally, we propose an algorithm for the conversion of integrated early requirements into its multi-dimensional form.
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Conference proceedings 2018tems Applications, DEXA 2018, held in Regensburg, Germany, in September 2018..The 35 revised full papers presented together with 40 short papers were carefully reviewed and selected from 160 submissions. The papers of the first volume discuss a range of topics including: Big data analytics; data int
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