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第二届IEEE数据库技术与应用国际会议将于11月在武汉召开

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The 2nd International Workshop on Database Technology and Applications (DBTA2010)# g6 s3 _2 A4 q/ M/ }! T% B( L
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)7 E  [1 i' T. r  A0 ]7 F
11月27-28,2010,武汉,中国 1 t  _% Z) _+ I+ ?
http://www.icdbta.org/dbta2010/
3 U1 R/ F2 z4 V/ k  G% e- h
3 F+ f. j/ V8 K4 a( }论文提交日期: 2010年8月18日- n9 m, H, N% m9 ^
论文录用通知日期: 2010年9月 16 日
1 G6 s' c/ @1 h论文修订版本提交日期: 2010年9月22日
  K( T( F; Z, Q* t6 ~论文注册日期: 2010年9月28日: }9 v4 F+ j. Y' Y" N5 G
论文提交系统: http://www.icdbta.org/dbta2010/submission/( h3 {" v) ?% }' o! B
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)- ^, @8 s( q1 B; H9 H
IEEE会议论文版权表:http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc(录用注册后提交)                                . y1 h( i, `: g! e; B; N( z

0 ~1 l8 G4 G1 f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。
: x& z  x# c$ t/ l: }# F  C% r" B
9 R+ J" G/ n3 x+ 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三个领域构成,但并不局限于:& m6 T" \! Y4 y$ f
1. Database and Related Issue / 数据库与相关领域
& u. U& ?8 @2 eTemporal Data+ M0 W* N: H9 ^7 C
Scientific Databases& [4 _% K& Z1 W9 L9 J
Business database software
/ |2 @1 X$ O' M8 x& ^Computer data processing + O. H7 S" z' S2 e* N
Data processing services
0 P( g  a0 I$ e# U: ^( \) ?Data processing supplies # w4 D* a; C/ n$ g5 n/ }3 v1 c
Data processing systems
% O, I" S6 {+ v5 p: A- ~% rMetadata Management
3 `1 h& z! W5 `& T/ Y* k0 U) sMobile Data and Information* b/ o1 ~: A- y5 X: z4 w$ G
Multimedia Databases
" n' A: \, y! |! J2 oWWW and Databases
9 w( m' J3 E% o6 s$ e, q0 vWorkflow Management and Databases
* I" ]! j; \$ N+ H+ zXML and Databases
8 U# _) a, U& a% D! j+ P: I3 jMultimedia Databases
8 q* g$ V7 {6 q- ~- a6 ]Data modelling and architectures/ e9 r9 c; @7 @9 b: l2 R
Data streaming, data provenance and data quality
& |2 B) ^; K9 `+ H2 L2 S. p& ]0 uData Security, privacy, and data integrity 1 ^  S4 m. M% P. m4 |- N
Web Data and the Internet# w8 I6 l% _3 n' z- @% _
XML and databases, web services
( Q# f; D( g5 `& sSemi-structured data, metadata0 n0 m/ x# p: M
e-commence
9 @: }0 \" r! }5 j# ~* X
! {% a" y. w+ g4 U* G2. Data warehouse and Data mining /数据仓库和数据挖掘
2 k& j6 ]! O. o1 i, y  F- }7 R. ?Grid/Parallel/distributed data warehousing
  C4 f: _, O* n7 B. h. m* B3 m& F  yWeb/multimedia data warehouses
/ S2 c3 L0 j3 E  b8 i" L) B+ qData warehousing and the semantic web6 i! f9 \' t+ s! M4 K
Data warehousing with unstructured data% ^0 q/ Z9 N3 F4 y2 j
Integration of Data Warehousing
0 h' g6 E" g1 S# h6 lData and knowledge representation
; |/ g; e6 _/ N" d" ~Languages and interfaces for data mining+ ~& I5 v) m9 {8 v1 S$ M2 s6 \
Data integration and interoperability
  I' i, s/ p- N, zData extraction, cleansing, transforming and loading* B4 _% Z: T7 N" b3 J, H5 i
Data mining and information extraction
# K3 x+ s; J) Y6 WKDD Process and Human Interaction% A: T! i! L: N. c
OLAP and Data Mining! L5 E, i  N: E( n# f. ~  h
Parallel and Distributed Data Mining
" C0 [: J7 \/ I& `( sPhysical database design and performance evaluation2 v! d: t9 J5 a4 k: ~' Q
Query processing and optimization# V9 F. i3 q' R$ o
Reliability and Robustness Issues8 ?$ s% o3 N: p. W& F
Semantic web and ontologies" J+ T- q2 I/ ^% y6 I
Software Warehouse and Software Mining
9 C3 V' O6 c0 Y! D, @+ _1 KSocial and mathematical statistics5 z8 I, t0 g4 M8 R7 a  A, Y
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
6 D! Y" t/ F# k' kDeveloping a unifying theory of data mining
, C# M' H6 d- i+ W1 e1 P) z3 fMining sequences and sequential data" P4 ^; z, v/ h4 D; T% s
Data pre-processing, data reduction, feature selection, and feature transformation
$ X: X4 t4 X- l9 }# hQuality assessment, interestingness analysis, and post-processing
4 e% v$ W" n' _2 ]Mining unstructured, semi-structured, and structured data9 X# _" C( E0 S, X
Mining temporal, spatial, spatio-temporal data( Q9 P9 h( U7 U
Mining data streams and sensor data1 T/ w$ N2 `7 ^* l8 ^
Mining multimedia data7 e* C) B' y1 C  g( h' [
Mining social network data
* ]" a: c) B: Q8 m8 I2 y( {3 l/ R& DHuman-machine interaction and visual data mining , ^- M0 j7 _0 H7 J
Data mining applications(bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
, v6 m) |4 s: D! h1 zKnowledge Acquisition & Management0 B! _" }2 a% F7 ?" f( I7 }0 k# o3 E
Knowledge Modelling
4 W3 x4 k; R* Y2 K" Y4 I: dKnowledge Processing
6 L4 p- K( [2 r, j( P. oIntegrated KDD applications and systems
/ d* M6 w+ }/ n1 G9 EBusiness Process Intelligence
' `4 E3 e3 I" L# u9 G1 `Cluster Analysis and Knowledge Base system0 L/ V/ ]4 {5 I5 t
Information systems technology' Z0 ~5 E) s' k; ~& I- |& x
Other related technology about data mining
$ g( B6 m  G- m2 n2 D4 c3. Computer Science and Related Technology /计算机科学和相关技术
8 F. x4 Y: p  _4 Y+ E8 o6 dImage and singnal processing % {! c2 D( x# f/ ~, k; |  y
Artificial Intelligence # v% p! C6 m; v  }" n# ^- Z" e
Software engineering
! J, R+ _1 c8 {& S, l! CSystems Engineering $ q5 o+ |, e4 U/ I1 b  t- k
Computer Graphics
" R3 @# @5 w; M7 \Computer Application 6 t! V' o7 C& v& B, p4 s
Control Technology & s6 O1 Q$ H' G# f
Network Technology 0 {2 F& K, x2 B; V' V
Network security $ t% X5 X: F3 x  D+ w+ o
Numerical and symbolic computation
, R4 U- H- S$ p, ?( YComputer Modeling and Simulation
9 S0 a9 k/ N6 H7 z- m( xCommunication Technology / F0 i6 e" [% F4 A$ I4 M  `
Algorithms and data structures
8 q9 }: t# X) A+ M5 O+ b0 VComputer Education9 R. k  p8 [( P
Other Advanced Technology$ G3 L& x& J# P
======================================5 R8 t' s4 t- ?: d
DBTA2010会议联系秘书处
4 A4 ~3 H" R" [( w% c% l2 l
1 Y0 V/ R5 C+ a* C  r3 a/ u* R  S; Q邮件: info@icdbta.org, dbta2010@vip.sina.com7 {, s6 G. r  g; H* H
电话: +86-151027691706 f* \8 l/ K& ^$ ?- L8 l" s* A
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