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Web and Big Data
Details
This two volume set, LNCS 10366 and 10367, constitutes the thoroughly refereed proceedings of the First International Joint Conference, APWeb-WAIM 2017, held in Beijing, China in July 2017.
The 44 full papers presented together with 32 short papers and 10 demonstrations papers were carefully reviewed and selected from 240 submissions. The papers are organized around the following topics: spatial data processing and data quality; graph data processing; data mining, privacy and semantic analysis; text and log data management; social networks; data mining and data streams; query processing; topic modeling; machine learning; recommendation systems; distributed data processing and applications; machine learning and optimization.
Includes supplementary material: sn.pub/extras
Klappentext
This two volume set, LNCS 10366 and 10367, constitutes the thoroughly refereed proceedings of the First International Joint Conference, APWeb-WAIM 2017, held in Beijing, China in July 2017. The 44 full papers presented together with 32 short papers and 10 demonstrations papers were carefully reviewed and selected from 240 submissions. The papers are organized around the following topics: spatial data processing and data quality; graph data processing; data mining, privacy and semantic analysis; text and log data management; social networks; data mining and data streams; query processing; topic modeling; machine learning; recommendation systems; distributed data processing and applications; machine learning and optimization.
Inhalt
Spatial data processing and data quality.- Graph data processing.- Data mining, privacy and semantic analysis.- Text and log data management.-Social networks.- Data mining and data streams.- Query processing.- Topic modeling.- Machine learning.- Recommendation systems.- Distributed data processing and applications.- Machine learning and optimization.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783319635781
- Herausgeber Springer International Publishing
- Anzahl Seiten 692
- Lesemotiv Verstehen
- Genre Software
- Auflage 1st edition 2017
- Editor Lei Chen, Christian S. Jensen, Xiang Lian, Xiaochun Yang, Cyrus Shahabi
- Sprache Englisch
- Gewicht 1031g
- Untertitel First International Joint Conference, APWeb-WAIM 2017, Beijing, China, July 7-9, 2017, Proceedings, Part I
- Größe H235mm x B155mm x T37mm
- Jahr 2017
- EAN 9783319635781
- Format Kartonierter Einband
- ISBN 3319635786
- Veröffentlichung 03.08.2017
- Titel Web and Big Data