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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/dbta2010/ 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 ====================================== DBTA2010会议联系秘书处 邮件: info@icdbta.org, dbta2010@vip.sina.com 电话: +86-15102769170 ====================================== |
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