Franklin

Database and Expert Systems Applications : 28th International Conference, DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part I / edited by Djamal Benslimane, Ernesto Damiani, William I. Grosky, Abdelkader Hameurlain, Amit Sheth, Roland R. Wagner.

Publication:
Cham : Springer International Publishing : Imprint: Springer, 2017.
Format/Description:
Book
1 online resource (XXIV, 517 pages) : 172 illustrations
Edition:
1st ed. 2017.
Series:
Computer Science (Springer-11645)
LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI SL 3, 10438
Information Systems and Applications, incl. Internet/Web, and HCI ; 10438
Contained In:
Springer eBooks
Status/Location:
Loading...

Options
Location Notes Your Loan Policy

Details

Subjects:
Data mining.
Database management.
Application software.
Artificial intelligence.
Computer security.
Logic, Symbolic and mathematical.
Local subjects:
Data Mining and Knowledge Discovery. (search)
Database Management. (search)
Computer Appl. in Social and Behavioral Sciences. (search)
Artificial Intelligence. (search)
Systems and Data Security. (search)
Mathematical Logic and Formal Languages. (search)
System Details:
text file PDF
Summary:
This two volume set LNCS 10438 and LNCS 10439 constitutes the refereed proceedings of the 28th International Conference on Database and Expert Systems Applications, DEXA 2017, held in Lyon, France, August 2017. The 37 revised full papers presented together with 40 short papers were carefully reviewed and selected from 166 submissions. The papers discuss a range of topics including: Semantic Web and Semantics; Graph Matching; Data Modeling, Data Abstraction, and Uncertainty; Preferences and Query Optimization; Data Integration and RDF Matching; Security and Privacy; Web Search; Data Clustering; Top-K and Skyline Queries; Data Mining and Big Data; Service Computing; Continuous and Temporal Data, and Continuous Query Language; Text Processing and Semantic Search; Indexing and Concurrency Control Methods; Data Warehouse and Data Stream Warehouse; Data Mining and Machine Learning; Recommender Systems and Query Recommendation; Graph Algorithms; Semantic Clustering and Data Classification.
Contents:
Semantic Web and Semantics
Graph Matching
Data Modeling, Data Abstraction, and Uncertainty
Preferences and Query Optimization
Data Integration and RDF Matching
Security and Privacy
Web Search
Data Clustering
Top-K and Skyline Queries
Data Mining and Big Data
Service Computing
Continuous and Temporal Data, and Continuous Query Language
Text Processing and Semantic Search
Indexing and Concurrency Control Methods
Data Warehouse and Data Stream Warehouse
Data Mining and Machine Learning
Recommender Systems and Query Recommendation
Graph Algorithms
Semantic Clustering and Data Classification.
Contributor:
Benslimane, Djamal, editor., Editor,
Damiani, Ernesto. editor., Editor,
Grosky, William I. editor., Editor,
Hameurlain, Abdelkader. editor., Editor,
Sheth, Amit. editor., Editor,
Wagner, Roland R. editor., Editor,
SpringerLink (Online service)
Other format:
Printed edition:
Printed edition:
ISBN:
978-3-319-64468-4
9783319644684
Publisher Number:
10.1007/978-3-319-64468-4 doi
Access Restriction:
Restricted for use by site license.