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Database and Expert Systems Applications [electronic resource] : 28th International Conference, DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part I / edited by Djamal Benslimane, Ernesto Damiani, William I. Grosky, Abdelkader Hameurlain, Amit Sheth, Roland R. Wagner.

Contributor(s): Benslimane, Djamal [editor.] | Damiani, Ernesto [editor.] | Grosky, William I [editor.] | Hameurlain, Abdelkader [editor.] | Sheth, Amit [editor.] | Wagner, Roland R [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Information Systems and Applications, incl. Internet/Web, and HCI: 10438Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XXIV, 517 p. 172 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319644684.Subject(s): Data mining | Database management | Social sciences -- Data processing | Artificial intelligence | Data protection | Machine theory | Data Mining and Knowledge Discovery | Database Management | Computer Application in Social and Behavioral Sciences | Artificial Intelligence | Data and Information Security | Formal Languages and Automata TheoryAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.312 Online resources: Click here to access online
Contents:
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 Classification.
In: Springer Nature eBookSummary: 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 Classification.
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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 Classification.

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 Classification.

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