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Core Database Technology
* Access Methods
* Active Databases
* Advanced Search, Query, and Approximation
* Authorization and Security
* Concurency Control and Recovery
* Constraints
* Database Administration and Manageability
* Databases and Grid Computing
* Database Benchmarks and Evaluation
* Database Languages and Models
* Fuzzy Databases
* Image, Text, Multimedia Databases
* Object-oriented and object-relational databases
* Optimization and Performance
* Parallel and Distributed Databases
* Real-time Databases
* Reliability and Robustness
* Replication, Caching, and View Materialization
* Scientific and Statistical Databases
* Semi-structured Data and XML
* Sensor Networks
* Spatial and Temporal Databases
* Streams and Stream-based Processing
* Views and View Management
Infrastructure
for Information Systems
* Data Mining and
Knowledge Discovery
* Data Design
* Data Quality
* Data Transformation and Integration
* Data Evolution and Migration
* Data Warehousing
* Data Semantics
* Information Retrieval and DB
* Heterogeneous DBMS (Interoperability)
* P2P and Networked Data Management
* Meta-data Management
* Novel/Advanced Applications
* Bio-Informatics
* Digital Libraries
* On-Line Analytical Processing
* Profile-based Data Management
* User Interfaces & Visualization
* Workflow Management
* Database Services and Applications
* Embedded DBMS
* Mobile Data Management
Industrial Applications
and Experience
* Application Areas
* Bio-Informatics/Life Science
* Developing Countries
* Digital Libraries/Document Management
* Electronic Commerce
* Engineering
* Enterprise Data Management
* Enterprise Resource Planning (ERP)
* Environmental Management
* Finance
* Geographic Information Systems
* Government
* Home and Personal Applications
* Humanities
* Medical Systems
* Telecommunications
* Business Process Engineering and Execution Support
* Industrial Strength Systems based on DB Technology
* Unique Experiences in using DB technology
* Designing & Implementing Systems in the above Areas using DB Technology
* Reporting Pitfalls and Difficulties
* Adapting DB Technology in industrial setting to industrial Requirements
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