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[会议信息]第二届IEEE数据库技术与应用国际会议-DBTA2010

离线power2010

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0楼发表于: 2010-06-10 17:26:40

— 本帖被 casey 执行加亮操作(2011-01-25) —

The 2nd International Workshop on Database Technology and Applications (DBTA2010) &=@R,

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) "x3_cA~

11月27-28，2010，武汉，中国 mS!/>.1[

http://www.icdbta.org/


论文提交日期: 2010年8月18日

论文录用通知日期: 2010年9月 16 日

论文修订版本提交日期: 2010年9月22日

论文注册日期: 2010年9月28日

论文提交系统: http://www.icdbta.org/dbta2010/submission/

会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc（只接受英文稿件）
IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc （录用注册后提交）


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ISTP和EI Compendex检索。会议优秀论文将被推荐选入EI或SCI国际期刊专刊发表。
8Bo'0

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领域构成，但并不局限于：


1. Database and Related Issue P8z++h

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 modeling 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 z}u

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 ontology
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 Modeling
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 eUx|_*`

Image and signal processing
Artificial Intelligence
Software engineering
Systems Engineering
Computer Graphics
Computer Application
Control Technology
Network Technology
Network security
Numerical and symbolic computation
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