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Web and Big Data : Third International Joint Conference, APWeb-WAIM 2019, Chengdu, China, August 1-3, 2019, Proceedings, Part I / edited by Jie Shao, Man Lung Yiu, Masashi Toyoda, Dongxiang Zhang, Wei Wang, Bin Cui.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 11641
- Information Systems and Applications, incl. Internet/Web, and HCI ; 11641
- Language:
- English
- Subjects (All):
- Information storage and retrieval systems.
- Artificial intelligence.
- Algorithms.
- Computer science-Mathematics.
- Discrete mathematics.
- Social sciences-Data processing.
- Artificial intelligence-Data processing.
- Information Storage and Retrieval.
- Artificial Intelligence.
- Discrete Mathematics in Computer Science.
- Computer Application in Social and Behavioral Sciences.
- Data Science.
- Local Subjects:
- Information Storage and Retrieval.
- Artificial Intelligence.
- Algorithms.
- Discrete Mathematics in Computer Science.
- Computer Application in Social and Behavioral Sciences.
- Data Science.
- Physical Description:
- 1 online resource (XX, 433 pages) : 133 illustrations, 102 illustrations in color.
- Edition:
- 1st ed. 2019.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2019.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- 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. .
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-26072-9
- 9783030260729
- Access Restriction:
- Restricted for use by site license.
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