Web and Big Data : Third International Joint Conference, APWeb-WAIM 2019, Chengdu, China, August 1¿3, 2019, Proceedings, Part II

Jie Shao

ISBN 10: 3030260747 / ISBN 13: 9783030260743

Verlag: Springer International Publishing, Springer International Publishing, 2019

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - 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.

Bestandsnummer des Verkäufers 9783030260743

Bibliografische Details

• Titel: Web and Big Data : Third International Joint Conference, APWeb-WAIM 2019, Chengdu, China, August 1¿3, 2019, Proceedings, Part II
• Verlag: Springer International Publishing, Springer International Publishing
• Erscheinungsjahr: 2019
• Sprache: Englisch
• ISBN-10: 3030260747
• ISBN-13: 9783030260743
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

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.