Open And Novel Issues In Xml Database Applications Future Directions And Advanced Technologies
Download Open And Novel Issues In Xml Database Applications Future Directions And Advanced Technologies PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Open And Novel Issues In Xml Database Applications Future Directions And Advanced Technologies book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Open and Novel Issues in XML Database Applications: Future Directions and Advanced Technologies
Covers comprehensive issues and challenges discovered through leading international XML database research.
Database and Expert Systems Applications
Author: Pablo García Bringas
language: en
Publisher: Springer Science & Business Media
Release Date: 2010-08-18
This book constitutes the refereed proceedings of the 21 International Conference on Database and Expert Systems Applications, DEXA 2010, held in Bilbao, Spain, August 30 - September 3, 2010. The 45 revised full papers and 36 short papers were carefully reviewed and selected from 197 submissions. The papers are organized in topical sections on Web, Semantics and Ontologies, Information Integration and Process Modeling, Streams and Multimedia Databases, Data Management Algorithms and Performance, Decision Support Systems and Performance, Data Streams, XML Databases, Programming Language and Cooperative Work, Query Processing and Optimization, Data Privacy and Security, Temporal, Spatial, and High Dimensions Databases, Semantic Web and Ontologies.
Data Warehousing and Knowledge Discovery
This book constitutes the refereed proceedings of the 13th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2011 held in Toulouse, France in August/September 2011. The 37 revised full papers presented were carefully reviewed and selected from 119 submissions. The papers are organized in topical sections on physical and conceptual data warehouse models, data warehousing design methodologies and tools, data warehouse performance and optimization, pattern mining, matrix-based mining techniques and stream, sensor and time-series mining.