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Web and Big Data : First International Joint Conference, APWeb-WAIM 2017, Beijing, China, July 7-9, 2017, Proceedings, Part I / edited by Lei Chen, Christian S. Jensen, Cyrus Shahabi, Xiaochun Yang, Xiang Lian.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 10366
- Information Systems and Applications, incl. Internet/Web, and HCI ; 10366
- Language:
- English
- Subjects (All):
- Application software.
- Information storage and retrieval systems.
- Database management.
- Artificial intelligence.
- Computer networks.
- Data mining.
- Computer and Information Systems Applications.
- Information Storage and Retrieval.
- Database Management.
- Artificial Intelligence.
- Computer Communication Networks.
- Data Mining and Knowledge Discovery.
- Local Subjects:
- Computer and Information Systems Applications.
- Information Storage and Retrieval.
- Database Management.
- Artificial Intelligence.
- Computer Communication Networks.
- Data Mining and Knowledge Discovery.
- Physical Description:
- 1 online resource (XXVIII, 662 pages) : 217 illustrations
- Edition:
- 1st ed. 2017.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2017.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-63579-8
- 9783319635798
- Access Restriction:
- Restricted for use by site license.
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