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Titlebook: Database and Expert Systems Applications; 28th International C Djamal Benslimane,Ernesto Damiani,Roland R. Wagner Conference proceedings 20

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發(fā)表于 2025-3-21 18:51:41 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Database and Expert Systems Applications
副標題28th International C
編輯Djamal Benslimane,Ernesto Damiani,Roland R. Wagner
視頻videohttp://file.papertrans.cn/264/263492/263492.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Database and Expert Systems Applications; 28th International C Djamal Benslimane,Ernesto Damiani,Roland R. Wagner Conference proceedings 20
描述This two volume set LNCS 10438 and LNCS 10439 constitutes the refereed proceedings of the 28th International Conference on Database and Expert Systems Applications, DEXA 2017, held in Lyon, France, August 2017.? .The 37 revised full papers presented together with 40 short papers were carefully reviewed and selected from 166 submissions. The papers discuss a range of topics including: Semantic Web and Semantics; Graph Matching; Data Modeling, Data Abstraction, and Uncertainty; Preferences and Query Optimization; Data Integration and RDF Matching; Security and Privacy; Web Search; Data Clustering; Top-K and Skyline Queries; Data Mining and Big Data; Service Computing; Continuous and Temporal Data, and Continuous Query Language; Text Processing and Semantic Search; Indexing and Concurrency Control Methods; Data Warehouse and Data Stream Warehouse; Data Mining and Machine Learning; Recommender Systems and Query Recommendation; Graph Algorithms; Semantic Clustering and Data Classific.ation.
出版日期Conference proceedings 2017
關(guān)鍵詞Databases; Data mining and machine learning; Artificial intelligence; Web searching and information dis
版次1
doihttps://doi.org/10.1007/978-3-319-64471-4
isbn_softcover978-3-319-64470-7
isbn_ebook978-3-319-64471-4Series 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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Conventional Deterrence into the 1990s annotated resource, is represented by a set of concepts of the reference ontology. The experimental results of this paper show that the adoption of the Bayesian method for weighting DAG-based reference ontologies allows . to outperform the most representative methods selected in the literature.
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On Computing Temporal Aggregates over Null Time Intervalsporal aggregates over null time intervals with length constraints. By interval folding, we transform the problem into aggregates over stabbing groups, maximal stabbing interval sets. We describe the detailed algorithms and report the experimental results.
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Jean Karl Platten,Jean Claude Legroscuses only on modeling and executing artifact-based processes in which data have discrete values and fail to handle artifacts in which their data include continuous data streams. In this paper, we present the . for modeling stream-based artifacts and semantically manipulating and interrogating their instances.
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Article 3 Civil and State Aircrafty concepts within legal texts, e.g., legal definitions, obligations, etc. The work at hand elaborates on the implementation of data science environment and describes key requirements, a reference architecture and a collaborative user interface.
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Ann Raldow M.D., M.P.H.,Jennifer Wo M.D.ymization process is a compelling task to achieve. This paper aims to deal with such challenge. Doing so, we propose a microaggregation algorithm called ., based on fuzzy possibilitic clustering. The main thrust of this algorithm stands in applying an hybrid anonymization process.
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