Database systems for advanced applications [electronic resource] : 21st International Conference, DASFAA 2016, Dallas, TX, USA, April 16-19, 2016, Proceedings. Part I / Shamkant B. Navathe, Weili Wu, Shashi Shekhar, Xiaoyong Du, X. Sean Wang, Hui Xiong (eds.).
2016
QA76.9.D32
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Title
Database systems for advanced applications [electronic resource] : 21st International Conference, DASFAA 2016, Dallas, TX, USA, April 16-19, 2016, Proceedings. Part I / Shamkant B. Navathe, Weili Wu, Shashi Shekhar, Xiaoyong Du, X. Sean Wang, Hui Xiong (eds.).
ISBN
9783319320250 (electronic book)
3319320254 (electronic book)
9783319320243
3319320254 (electronic book)
9783319320243
Published
Cham : Springer, 2016.
Language
English
Description
1 online resource (xix, 551 pages) : illustrations.
Item Number
10.1007/978-3-319-32025-0 doi
Call Number
QA76.9.D32
Dewey Decimal Classification
005.74
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.
Note
Includes author index.
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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 30, 2016).
Added Author
Series
Lecture notes in computer science ; 9642.
LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.
LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.
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Table of Contents
Crowdsourcing
Data Quality
Entity Identification
Data Mining and Machine Learning
Recommendation
Semantics computing and Knowledge Base
Textual Data.
Data Quality
Entity Identification
Data Mining and Machine Learning
Recommendation
Semantics computing and Knowledge Base
Textual Data.