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Database and Expert Systems Applications: 28th International Conference, DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part I 1st ed. 2017 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 517 pages, height x width: 235x155 mm, weight: 8132 g, 172 Illustrations, black and white; XXIV, 517 p. 172 illus., 1 Paperback / softback
  • Sērija : Information Systems and Applications, incl. Internet/Web, and HCI 10438
  • Izdošanas datums: 01-Aug-2017
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 331964467X
  • ISBN-13: 9783319644677
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Database and Expert Systems Applications: 28th International Conference, DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part I 1st ed. 2017Palielināt
  • Formāts: Paperback / softback, 517 pages, height x width: 235x155 mm, weight: 8132 g, 172 Illustrations, black and white; XXIV, 517 p. 172 illus., 1 Paperback / softback
  • Sērija : Information Systems and Applications, incl. Internet/Web, and HCI 10438
  • Izdošanas datums: 01-Aug-2017
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 331964467X
  • ISBN-13: 9783319644677
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783319644677.html
Keywords:
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.

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.