The 2010 International Conference on Database Theory and Application
Oleh : DTA 2010
Sabtu, 3 April 2010 (09:14 WIB) dari IP 125.160.112.164

http://www.sersc.org/DTA2010/

DTA 2010 will be the most comprehensive Conference focused on the various aspects of advances in Database Theory and Application. Our Conference provides a chance for academic and industry professionals to discuss recent progress in the area of Database Theory and Application.

The goal of this Conference is to bring together the researchers from academia and industry as well as practitioners to share ideas, problems and solutions relating to the multifaceted aspects of Database Theory and Application.

All accepted papers will be included in the conference proceedings: LNCS/CCIS series (indexed by EI and others) published by Springer Verlag (confirmed) or IEEE CS proceedings (pending). And some papers selected will be included in some journals.

Topics of Conference

The main topics include but will not be limited to: (Excellent surveying works in these areas are welcome, too.)

Advanced databases (object-oriented DB, web-based DB, multimedia DB, temporal and spatial DB, deductive and active DB, etc.)
Biomedical and healthcare data mining privacy
Classification and Ranking
Clustering
Cryptographic tools for privacy preserving data mining
Data and Knowledge Visualization
Data integration and interoperability
Data management for ubiquitous and mobile computing
Data mining and information extraction
Data modelling and architectures
Data provenance
Data quality
Data security, privacy and trust
Data streaming
Dynamic Data Mining
Heterogeneous databases
Inference and disclosure control for data mining
Integration of Data Warehousing
Interactive and Online Mining
Intermittently connected data
KDD Process and Human Interaction
Mining Trends, Opportunities or Risks
OLAP and Data Mining
Parallel and Distributed Data Mining
Physical database design and performance evaluation
Privacy and security when mining outsourced data
Privacy preserving data aggregation and integration
Privacy Preserving Data Mining
Privacy threats due to data mining
Query processing and optimisation
Reliability and Robustness Issues
Scientific Databases
Security and privacy in spatio-temporal data mining
Semantic web and ontologies
Semi-structured data, metadata
Software Warehouse and Software Mining
Temporal Data
Text Mining
Trust management for data mining
Web Data and the Internet
XML and databases, web services
Data Analysis
Social and mathematical statistics
Others

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