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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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第二届IEEE数据库技术与应用国际会议-DBTA2010
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power2010
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注册:
2010-03-01
登录:
2011-06-16
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发表于: 2010-03-22 14:32:08
— 本帖被 tensor 从 【互助速问速答有求速应】 移动到本区(2010-03-23) —
The 2nd International Workshop on Database Technology and Applications (DBTA2010)
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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
)
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11
月
27-28
,
2010
,武汉,中国
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http://www.icdbta.org/dbta2010/
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论文提交日期
:
2010
年
8
月
18
日
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论文录用通知日期
:
2010
年
9
月
16
日
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论文修订版本提交日期
:
2010
年
9
月
22
日
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论文注册日期
:
2010
年
9
月
28
日
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论文提交系统
:
http://www.icdbta.org/dbta2010/submission/
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会议论文模版
:
[url]http://www.icdbta.org/dbta2010/instruct8.5x11.doc
[/url]
(只接受英文稿件)
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IEEE
会议论文版权表:
http://www.icdbta.org/
dbta2010
/IEEECopyrightForm.doc
(录用注册后提交)
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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:
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1. Database and Related Issue /
数据库与相关领域
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Temporal Data
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Scientific Databases
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Business database software
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Computer data processing
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Data processing services
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Data processing supplies
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Data processing systems
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Metadata Management
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Mobile Data and Information
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Multimedia Databases
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WWW and Databases
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Workflow Management and Databases
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XML and Databases
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Multimedia Databases
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Data modelling and architectures
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Data streaming, data provenance and data quality
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Data Security, privacy, and data integrity
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Web Data and the Internet
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XML and databases, web services
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Semi-structured data, metadata
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e-commence
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2. Data warehouse and Data mining /
数据仓库和数据挖掘
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Grid/Parallel/distributed data warehousing
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Web/multimedia data warehouses
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Data warehousing and the semantic web
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Data warehousing with unstructured data
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Integration of Data Warehousing
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Data and knowledge representation
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Languages and interfaces for data mining
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Data integration and interoperability
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Data extraction, cleansing, transforming and loading
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Data mining and information extraction
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KDD Process and Human Interaction
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OLAP and Data Mining
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Parallel and Distributed Data Mining
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Physical database design and performance evaluation
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Query processing and optimization
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Reliability and Robustness Issues
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Semantic web and ontologies
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Software Warehouse and Software Mining
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Social and mathematical statistics
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Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
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Developing a unifying theory of data mining
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Mining sequences and sequential data
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Data pre-processing, data reduction, feature selection, and feature transformation
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Quality assessment, interestingness analysis, and post-processing
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Mining unstructured, semi-structured, and structured data
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Mining temporal, spatial, spatio-temporal data
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Mining data streams and sensor data
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Mining multimedia data
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Mining social network data
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Human-machine interaction and visual data mining
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Data mining applications(bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
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Knowledge Acquisition & Management
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Knowledge Modelling
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Knowledge Processing
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Integrated KDD applications and systems
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Business Process Intelligence
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Cluster Analysis and Knowledge Base system
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Information systems technology
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Other related technology about data mining
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3. Computer Science and Related Technology /
计算机科学和相关技术
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Image and singnal processing
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Artificial Intelligence
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Software engineering
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Systems Engineering
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Computer Graphics
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Computer Application
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