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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: 2010-03-22 14:32:08

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The 2nd International Workshop on Database Technology and Applications (DBTA2010) t 3(%UB

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) `A4QU,0 8h

11月27-28，2010，武汉，中国 xFsB?d

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: [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。
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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 U/1[~429
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 ADLa.{
Grid/Parallel/distributed data warehousing *O(/UVuD\
Web/multimedia data warehouses *f0.=?
Data warehousing and the semantic web .yK\&q[<
Data warehousing with unstructured data Wvut)T
Integration of Data Warehousing Ac5o K
Data and knowledge representation zJG x5JC
Languages and interfaces for data mining w+).pcG(*
Data integration and interoperability .gM>FUH3L
Data extraction, cleansing, transforming and loading eB<V%,%N#
Data mining and information extraction L#7)X5a__
KDD Process and Human Interaction !_XU^A>
OLAP and Data Mining lJ2|jFY9
Parallel and Distributed Data Mining dPH! V6r
Physical database design and performance evaluation Uf7F8JZmM
Query processing and optimization +2;#9aa I
Reliability and Robustness Issues )MD*)O
Semantic web and ontologies F653[[eQ
Software Warehouse and Software Mining G)tq/`zNw
Social and mathematical statistics Z!*8JaMT
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) hVT=j ?~
Developing a unifying theory of data mining DK@w^ZW6JA
Mining sequences and sequential data yv!''F:9F
Data pre-processing, data reduction, feature selection, and feature transformation UALg!M#
Quality assessment, interestingness analysis, and post-processing }QWTPRn
Mining unstructured, semi-structured, and structured data Ry8WNVO}R
Mining temporal, spatial, spatio-temporal data FfD ,cDs
Mining data streams and sensor data DmXDg7y7s
Mining multimedia data [/+dHW|
Mining social network data 6uCk0 B|
Human-machine interaction and visual data mining 9?g]qy,1)
Data mining applications(bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc) U<gUX07
Knowledge Acquisition & Management 8CnI%_Su
Knowledge Modelling h87L8qh9
Knowledge Processing GqIvvnw@f
Integrated KDD applications and systems OU)p)Y_z
Business Process Intelligence A5.'h<
Cluster Analysis and Knowledge Base system j?f,~Y<k
Information systems technology ,rH)}C<Q+
Other related technology about data mining /v bO/Mr
+]S;U&vQ
3. Computer Science and Related Technology /计算机科学和相关技术 /8$1[[[
Image and singnal processing w}U5dM`
Artificial Intelligence R@7GCj
Software engineering 0'q(XB`i=
Systems Engineering _Y ><ih
Computer Graphics 8JtI&aH-L
Computer Application vHI"C %
Con .. Wy^[4|6
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