第二届IEEE数据库技术与应用国际会议-DBTA2010

power2010

The 2nd International Workshop on Database Technology and Applications (DBTA2010)
% t! k7 r' j0 H6 C$ T/ a. U; k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
8 D" h# H. K/ @+ N8 v! E, rhttp://www.icdbta.org/

- s1 u3 g! s) ~+ F论文提交日期: 2010年8月18日
; R8 F/ A& l9 |9 V论文录用通知日期: 2010年9月 16 日
2 ~8 z5 j9 B$ A1 e" l论文修订版本提交日期: 2010年9月22日
9 h7 q! C; `8 |- z论文注册日期: 2010年9月28日
% W+ G  m& `! A+ V$ g8 M, P: U  m% J0 y论文提交系统: http://www.icdbta.org/dbta2010/submission/
/ b" ^( L/ q6 i8 z) S) w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）

# L0 ^& ]7 C' f! M! X* ^  r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。
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8 \& Z  y5 q& Z( @' N; j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：
6 w% ^$ T. o# Q. b  D! \$ b3 H
1. Database and Related Issue
Temporal Data
Scientific Databases
Business database software
Computer data processing
2 t/ V# D! _8 z+ W3 S  L. NData processing services
Data processing supplies
Data processing systems
' m! `  ]3 @! l& Y+ c5 uMetadata Management
, n4 e. ^! y. {9 H7 |- t7 B; \6 g2 jMobile Data and Information
** Databases
WWW and Databases
# ^) O0 q5 O) \  }( dWorkflow Management and Databases
' i2 q" r& S, s/ V9 uXML and Databases
** Databases
* k& Q2 [  _( m1 G8 R6 h% HData modeling and architectures
) A8 F+ a& Z! z; v' M/ dData streaming, data provenance and data quality
7 X, ?% r6 y2 n6 h3 B$ o% GData Security, privacy, and data integrity
0 C( g" w6 M! wWeb Data and the Internet
( ?  ]; ?6 b7 q, I: j# kXML and databases, web services
: i- a/ z5 b- }Semi-structured data, metadata
e-commence
2 L/ C' H$ r; b  n. e
  w- Z: X& |7 H) o8 J  @2. Data warehouse and Data mining
Grid/Parallel/distributed data warehousing
! i$ X' V5 u+ Q  F- Y; BWeb/** data warehouses
Data warehousing and the semantic web
6 z$ |; y8 E0 B% MData warehousing with unstructured data
( Q, |5 p. v4 }& |: Q+ e8 P" OIntegration of Data Warehousing
) F+ ^% j9 v% W0 h5 U! {3 a, p$ rData and knowledge representation
5 f) @5 {7 X) A1 n& `2 u6 k0 jLanguages and inte**ces for data mining
9 o1 u* B6 o8 Z7 O3 Q. [7 }3 n" S4 }Data integration and interoperability
' \6 ^0 ~4 X% _; G2 Z% gData extraction, cleansing, transforming and loading
( X; q6 A" T+ f. ^: z2 F, _: I* U6 lData 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
4 Z! h+ g4 H% `1 [8 N# HSocial 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
$ L; w6 k) g( B1 z$ Q0 UMining sequences and sequential data
9 W; u$ l* ?" H- c8 j; y4 ~/ {. nData pre-processing, data reduction, feature selection, and feature transformation
Quality assessment, interestingness analysis, and post-processing
) d8 B* F9 v/ Z9 e2 D6 G2 gMining unstructured, semi-structured, and structured data
Mining temporal, spatial, spatio-temporal data
Mining data streams and sensor data
4 U; D9 ?" J/ R! k  @( A! M' cMining ** data
Mining social network data
0 b# A% l* w9 x4 z( d' ?Human-machine interaction and visual data mining
  [, C  q- M- P4 w9 }/ y/ tData mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
Knowledge Acquisition & Management
7 v! u( r4 x% S) H: rKnowledge Modeling
2 _  r$ S: t, A4 X% C  e+ \. S) {, FKnowledge Processing
$ Q7 d+ J9 C( ?: _7 yIntegrated KDD applications and systems
Business Process Intelligence
6 c/ p1 h9 ^( s5 h% I- t0 HCluster Analysis and Knowledge Base system
Information systems technology
$ ~5 F1 C% G# U) M$ YOther related technology about data mining
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3. Computer Science and Related Technology
Image and signal processing
7 N0 n& \; a, V* d0 `Artificial Intelligence
3 ^! L1 E: y% @& T/ o0 a, ~Software engineering
Systems Engineering
Computer Graphics
$ Y6 ?% ]0 I$ M: b# \Computer Application
' x3 S) f5 o  xControl Technology
  C& x% r+ x' f3 cNetwork Technology
. Y; J# a& e& Q' JNetwork security
Numerical and symbolic computation
Computer Modeling and Simulation
7 \. z+ k; W/ HCommunication Technology
( a: F( B- i! M% K- c- ^3 OAlgorithms and data structures
Computer Education
Other Advanced Technology

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1 U$ |+ H6 r9 L- s2 \7 YDBTA2010会议联系秘书处

邮件: dbta2010@vip.sina.com, info@icdbta.org
电话: +86-15102769170
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