Data Management Technologies and Applications
5th International Conference, DATA 2016, Colmar, France, July 24-26, 2016, Revised Selected Papers
Published on 4. July 2017
Book
Paperback/Softback
XI, 179 pages
978-3-319-62910-0 (ISBN)
Description
This book constitutes the thoroughly refereed proceedings of the Fourth International Conference on Data Technologies and Applications, DATA 2016, held in Colmar, France, in July 2016. The 9 revised full papers were carefully reviewed and selected from 50 submissions. The papers deal with the following topics: databases, data warehousing, data mining, data management, data security, knowledge and information systems and technologies; advanced application of data.
More details
Series
Edition
1st ed. 2017
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
47 s/w Abbildungen
XI, 179 p. 47 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 11 mm
Weight
300 gr
ISBN-13
978-3-319-62910-0 (9783319629100)
DOI
10.1007/978-3-319-62911-7
Schweitzer Classification
Other editions
Additional editions
Chiara Francalanci | Markus Helfert
Data Management Technologies and Applications
5th International Conference, DATA 2016, Colmar, France, July 24-26, 2016, Revised Selected Papers
E-Book
06/2017
Springer
€53.49
Available for download
Content
A Scalable Platform for Low-Latency Real-Time Analytics of Streaming Data.- Identifying Conversational Message Threads by Integrating Classification and Data Clustering.- Towards Efficient Multi-domain Data Processing.- Approaching ETL Processes Specification using a Pattern-based Ontology.- Topic-aware Visual Citation Tracing via Enhanced Term Weighting for Efficient Literature Retrieval.- Maturing Pay-as-you-go Data Quality Management: Towards Decision Support for Paying the Larger Bills.- Generic and Concurrent Computation of Belief Combination Rules.- Log-based Model to Enforce Data Consistency on Agnostic Fault-tolerant Systems.- Improving Performances of an Embedded Relational Database Management System with a Hybrid CPU/GPU Processing Engine.