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Advances in Databases and Information Systems: 22nd European Conference, ADBIS 2018, Budapest, Hungary, September 25, 2018, Proceedings 2018 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 291 pages, height x width: 235x155 mm, weight: 4803 g, 105 Illustrations, black and white; XXII, 291 p. 105 illus., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 11019
  • Izdošanas datums: 29-Jul-2018
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319983970
  • ISBN-13: 9783319983974
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Advances in Databases and Information Systems: 22nd European Conference, ADBIS 2018, Budapest, Hungary, September 25, 2018, Proceedings 2018 ed.Palielināt
  • Formāts: Paperback / softback, 291 pages, height x width: 235x155 mm, weight: 4803 g, 105 Illustrations, black and white; XXII, 291 p. 105 illus., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 11019
  • Izdošanas datums: 29-Jul-2018
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319983970
  • ISBN-13: 9783319983974
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783319983974.html
Keywords:
This book constitutes the proceedings of the 22nd European Conference on Advances in Databases and Information Systems, ADBIS 2018, held in Budapest, Hungary, in September 2018.

The 17 regular papers presented together with two invited papers were carefully selected and reviewed from numerous submissions. The papers are organized in topical sections such as information extraction and integration; data mining and knowledge discovery; indexing, query processing and optimization; data quality and data cleansing; distributed data platforms, including cloud data systems, key-value stores, and big data systems; and streaming data analysis; web, XML and semi-structured databases.

Invited Papers.- Information extraction and Integration.- Data Mining and Knowledge Discovery.- Indexing, Query Processing and Optimization.- Data Quality and Data Cleansing.- Distributed Data Platforms, Including Cloud Data Systems, Key-Value Stores, and Big Data Systems.- Streaming Data Analysis.- Web, XML and Semi-Structured Databases.