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Web and Big Data: Third International Joint Conference, APWeb-WAIM 2019, Chengdu, China, August 13, 2019, Proceedings, Part I 2019 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 433 pages, height x width: 235x155 mm, weight: 694 g, 102 Illustrations, color; 31 Illustrations, black and white; XX, 433 p. 133 illus., 102 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 11641
  • Izdošanas datums: 18-Jul-2019
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030260712
  • ISBN-13: 9783030260712
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Web and Big Data: Third International Joint Conference, APWeb-WAIM 2019, Chengdu, China, August 13, 2019, Proceedings, Part I 2019 ed.Palielināt
  • Formāts: Paperback / softback, 433 pages, height x width: 235x155 mm, weight: 694 g, 102 Illustrations, color; 31 Illustrations, black and white; XX, 433 p. 133 illus., 102 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 11641
  • Izdošanas datums: 18-Jul-2019
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030260712
  • ISBN-13: 9783030260712
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783030260712.html
Keywords:

This two-volume set, LNCS 11641 and 11642, constitutes  the thoroughly refereed proceedings of the Third International Joint Conference, APWeb-WAIM 2019, held in Chengdu, China, in August 2019.  

The 42 full papers presented together with 17 short papers, and 6 demonstration papers were carefully reviewed and selected from 180 submissions.
The papers are organized around the following topics: Big Data Analytics; Data and Information Quality; Data Mining and Application; Graph Data and Social Networks; Information Extraction and Retrieval; Knowledge Graph; Machine Learning; Recommender Systems; Storage, Indexing and Physical Database Design; Spatial, Temporal and Multimedia Databases; Text Analysis and Mining; and Demo.

Big Data Analytics.- Data and Information Quality.- Data Mining and
Application.- Graph Data and Social Networks.- Information Extraction and
Retrieval.- Knowledge Graph.- Machine Learning.- Recommender Systems.-
Storage, Indexing and Physical Database Design.- Spatial, Temporal and
Multimedia Databases.- Text Analysis and Mining.