Web and Big Data
Springer International Publishing (Verlag)
978-3-030-26071-2 (ISBN)
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.
| Erscheinungsdatum | 19.07.2019 |
|---|---|
| Reihe/Serie | Information Systems and Applications, incl. Internet/Web, and HCI | Lecture Notes in Computer Science |
| Zusatzinfo | XX, 433 p. 133 illus., 102 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 694 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Schlagworte | Algorithm analysis and problem complexity • Applications • Artificial Intelligence • classification • Computational Linguistics • Computer Science • conference proceedings • Databases • graph theory • Image Processing • Informatics • Information Services • Neural networks • Ontologies • pattern recognition • Probability • Problem Solving • query processing • Recommender Systems • Research • Search Engines • Semantics • Signal Processing • Social Networking • text processing • World Wide Web |
| ISBN-10 | 3-030-26071-2 / 3030260712 |
| ISBN-13 | 978-3-030-26071-2 / 9783030260712 |
| Zustand | Neuware |
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