第二届IEEE数据库技术与应用国际会议-DBTA2010
The 2nd International Workshop on Database Technology and Applications (DBTA2010)第二届IEEE数据库技术与应用国际会议-DBTA2010(DBTA2009已全部EI Compendex检索)
11月27-28，2010，武汉，中国 第二届IEEE数据库技术与应用国际会议（DBTA2010）将于2010年11月27-28日在中国-武汉召开。第一届IEEE数据库技术与应用国际会议（DBTA2009）全部收录的论文已经被EI Compendex检索。DBTA2010将由美国IEEE出版社出版，收录的论文将全部被EI Compendex和ISTP检索。会议优秀论文将被推荐选入EI或SCI收录的国际期刊专刊发表。
欢迎研究员、工程师、教师和学生踊跃投稿，会议论文主题由以下三个领域构成，但并不局限于：
1. Database and Related Issue / 数据库与相关领域
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 /数据仓库和数据挖掘
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 /计算机科学和相关技术
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
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