第二届IEEE数据库技术与应用国际会议-DBTA2010

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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

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: [url]http://www.icdbta.org/dbta2010/instruct8.5x11.doc[/url]（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。

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

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

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

Image and signal 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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DBTA2010会议联系秘书处

邮件: dbta2010@vip.sina.com, info@icdbta.org

电话:
+86-15102769170

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