DBTA 2010 - The 2nd International Workshop on Database Technology and Applications

The 2nd International Workshop on Database Technology and Applications（DBTA2010）serves as a forum for researchers, industry professionals, and academics interested in Database, Data warehouse, Data mining and Computer Science with the goal of fostering interaction.The conference was sponsored and supported by Hubei University of Technology,Huazhong University of Science and Technology,Harbin Institute of Technology and Wuhan University, IEEE Harbin Section,Research Association of Modern Education and Computer Science. The DBTA 2010 Proceedings will be published by IEEE Press, and all papers accepted will be included in IEEE Xplore,and arrange for indexing service(EI Compendex and ISTP). The best papers presented at the conference will be selected for publications in some International Journals which are indexed by SCI or EI.

The best papers presented at the conference will be selected for publications in the following International Journals:

Journal of Computers ( ISSN 1796-203X, EI Compendex)
Journal of Multimedia (ISSN : 1796-2048, EI Compendex)
Journal of Networks (ISSN 1796-2056,EI Compendex)

Authors are invited to submit original unpublished manuscripts that demonstrate recent advances the following areas of interest, but are not limited to:

1. Database and Related Issue
Temporal Data
Scientific Databases
Business database software
Computer data processing
Data processing services
Data processing supplies
Data processing systems
Metadata Management
Mobile Data and Information
Multimedia Databases
WWW and Databases
Workflow Management and Databases
XML and Databases
Multimedia Databases
Data modelling and architectures
Data streaming, data provenance and data quality
Data Security, privacy, and data integrity
Web Data and the Internet
XML and databases, web services
Semi-structured data, metadata
e-commence

2. Data warehouse and Data mining
Grid/Parallel/distributed data warehousing
Web/multimedia data warehouses
Data warehousing and the semantic web
Data warehousing with unstructured data
Integration of Data Warehousing
Data and knowledge representation
Languages and interfaces for data mining
Data integration and interoperability
Data extraction, cleansing, transforming and loading
Data mining and information extraction
KDD Process and Human Interaction
OLAP and Data Mining
Parallel and Distributed Data Mining
Physical database design and performance evaluation
Query processing and optimization
Reliability and Robustness Issues
Semantic web and ontologies
Software Warehouse and Software Mining
Social and mathematical statistics
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
Developing a unifying theory of data mining
Mining sequences and sequential data
Data pre-processing, data reduction, feature selection, and feature transformation
Quality assessment, interestingness analysis, and post-processing
Mining unstructured, semi-structured, and structured data
Mining temporal, spatial, spatio-temporal data
Mining data streams and sensor data
Mining multimedia data
Mining social network data
Human-machine interaction and visual data mining
Data mining applications(bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
Knowledge Acquisition & Management
Knowledge Modelling
Knowledge Processing
Integrated KDD applications and systems
Business Process Intelligence
Cluster Analysis and Knowledge Base system
Information systems technology
Other related technology about data mining

3. Computer Science and Related Technology
Image and singnal processing
Artificial Intelligence
Software engineering
Systems Engineering
Computer Graphics
Computer Application
Control Technology
Network Technology
Network security
Numerical and symbolic computation
Computer Modeling and Simulation
Communication Technology
Algorithms and data structures
Computer Education
Other Advanced Technology