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Database Systems for Advanced Applications : 21st International Conference, DASFAA 2016, Dallas, TX, USA, April 16-19, 2016, Proceedings, Part I / edited by Shamkant B. Navathe, Weili Wu, Shashi Shekhar, Xiaoyong Du, X. Sean Wang, Hui Xiong.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 9642
- Information Systems and Applications, incl. Internet/Web, and HCI ; 9642
- Language:
- English
- Subjects (All):
- Database management.
- Data mining.
- Information storage and retrieval systems.
- Application software.
- Computer engineering.
- Computer networks.
- Database Management.
- Data Mining and Knowledge Discovery.
- Information Storage and Retrieval.
- Computer and Information Systems Applications.
- Computer Engineering and Networks.
- Local Subjects:
- Database Management.
- Data Mining and Knowledge Discovery.
- Information Storage and Retrieval.
- Computer and Information Systems Applications.
- Computer Engineering and Networks.
- Physical Description:
- 1 online resource (XIX, 551 pages) : 163 illustrations
- Edition:
- 1st ed. 2016.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2016.
- System Details:
- text file PDF
- Summary:
- This two volume set LNCS 9642 and LNCS 9643 constitutes the refereed proceedings of the 21st International Conference on Database Systems for Advanced Applications, DASFAA 2016, held in Dallas, TX, USA, in April 2016. The 61 full papers presented were carefully reviewed and selected from a total of 183 submissions. The papers cover the following topics: crowdsourcing, data quality, entity identification, data mining and machine learning, recommendation, semantics computing and knowledge base, textual data, social networks, complex queries, similarity computing, graph databases, and miscellaneous, advanced applications.
- Contents:
- Crowdsourcing
- Data Quality
- Entity Identification
- Data Mining and Machine Learning
- Recommendation
- Semantics computing and Knowledge Base
- Textual Data.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-32025-0
- 9783319320250
- Access Restriction:
- Restricted for use by site license.
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