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The 2nd International Workshop on Database Technology and Applications (DBTA2010)
( r9 ?% V1 ]7 g, ]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)
2 P, s' u7 ]& E5 m11月27-28,2010,武汉,中国 , N% z. b" r/ o' }3 o
http://www.icdbta.org/
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论文提交日期: 2010年8月18日6 I- g& P2 y6 O% Z. j
论文录用通知日期: 2010年9月 16 日
2 s6 a% V3 Q7 t论文修订版本提交日期: 2010年9月22日# x6 H0 d7 R0 g- E! G3 ?
论文注册日期: 2010年9月28日8 W' X5 X* s x/ u, s' t! S
论文提交系统: http://www.icdbta.org/dbta2010/submission/2 v' S# k. x0 ]9 @9 F: P' {
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)+ b1 w' o7 s, E$ e' e
IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)" @8 n9 f" ~& k+ k% J8 N6 R. V) Y+ s
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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。+ W c) v6 \& y5 t) C
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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领域构成,但并不局限于:1 P' n* H& V! U. B
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1. Database and Related Issue % V! V& v. g3 B7 o4 `, |0 E
Temporal Data' e- T0 d( w0 a5 O y
Scientific Databases
; i$ Q9 s/ V0 O! H, U4 A: b' A2 fBusiness database software8 e! g+ E- q6 [: J. Z. I+ ~
Computer data processing
) }( s; v# R" Q S6 dData processing services 0 v9 b* `+ l7 _2 ?( D
Data processing supplies 7 e$ i+ C) `7 y- ~/ p+ N( [
Data processing systems
' Y, S3 s9 V1 a* g" c5 VMetadata Management
/ ?5 |. B# q) }* S) J4 t& E+ }Mobile Data and Information
% f# S' l6 _; l, w5 I0 t** Databases5 M( ~* n' ?& q% l4 o ?
WWW and Databases
( }' @: n! l) ^ L8 k fWorkflow Management and Databases
' C% q: f) m' c" Y* i1 \ \6 bXML and Databases
3 r% z! g$ T9 w2 U4 m6 J- l4 l** Databases" _* k+ C- ^1 E2 o0 h6 e
Data modeling and architectures" }6 _0 m* ~+ d' i
Data streaming, data provenance and data quality
; |" j6 K& J' ^. h* b! YData Security, privacy, and data integrity / E7 v0 u) H* { s6 q
Web Data and the Internet
9 M6 J. _0 W! N7 ]XML and databases, web services' A0 F3 q- i, W5 ~" W' k" H( a* _
Semi-structured data, metadata* F% B1 [9 t P+ k% S' Z) \9 A" G6 ?
e-commence) w% E: Q1 Y1 \* y) j A& {. j
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2. Data warehouse and Data mining }2 y6 \3 t: e. E b9 ^
Grid/Parallel/distributed data warehousing, R( r' U/ G8 ^. r! W0 J+ ]7 b
Web/** data warehouses
( M! w' p9 U0 o& F9 yData warehousing and the semantic web
( x% i( w/ A2 b1 DData warehousing with unstructured data
% _1 R5 y) j" v" U: \3 W) XIntegration of Data Warehousing
& a6 H: o5 x% F9 K, r) q/ ?Data and knowledge representation" ]" V7 {. K( O
Languages and inte**ces for data mining
$ a0 q. G$ V$ }; DData integration and interoperability0 |/ c6 |3 |5 p: _9 i
Data extraction, cleansing, transforming and loading/ T- I, c, `( X; k! u* Y+ B' K
Data mining and information extraction* K, L; M9 f) V6 j9 q2 k- d
KDD Process and Human Interaction" v. A3 Y% N; p9 x. p
OLAP and Data Mining
! F3 `4 s+ H' c& MParallel and Distributed Data Mining
) v' ^8 P2 {4 T& W7 cPhysical database design and performance evaluation
; u. ~' T9 [' `+ hQuery processing and optimization
2 L) k! ], u. {; x: P; eReliability and Robustness Issues* r7 \. \( W7 c4 G7 F
Semantic web and ontology+ U0 }' J0 k( D Z
Software Warehouse and Software Mining
4 V- \( e' w3 q. g V8 ESocial and mathematical statistics8 I4 d" L" D0 b' |% q8 l
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
( e$ B* e- ?4 p& v9 \# P$ BDeveloping a unifying theory of data mining
" f, I" z7 `6 r% t# M6 RMining sequences and sequential data
! s; A1 V3 W. W, j2 W! r6 l- XData pre-processing, data reduction, feature selection, and feature transformation 2 a1 u2 t( S5 `# q, b8 x6 ~
Quality assessment, interestingness analysis, and post-processing
t# E' _* w6 V; A8 h0 R; M {Mining unstructured, semi-structured, and structured data4 _& T3 e' E" t9 G6 v- ^0 {
Mining temporal, spatial, spatio-temporal data
0 v8 [( K: a$ O* wMining data streams and sensor data- z- a% Z! D+ ~1 ~& u6 T) |+ h
Mining ** data* D. p2 T2 u! J
Mining social network data; q3 Z; a. W* d$ q6 Z
Human-machine interaction and visual data mining
, |2 L, {) @* E; A1 TData mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
' D4 ?% J' w' H: E; i" @. @4 \Knowledge Acquisition & Management
- X: c" R; T/ r( p: [% KKnowledge Modeling
- a" e' b4 o: S' Q7 tKnowledge Processing; `6 v( ?" @+ P% E& a( \
Integrated KDD applications and systems
$ I$ v5 W9 P& E( ABusiness Process Intelligence }. S4 e* x& M' M
Cluster Analysis and Knowledge Base system x; S1 q" v: i6 y/ t/ Q
Information systems technology. w. \1 M& E. C
Other related technology about data mining9 K4 U. h- `" E
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3. Computer Science and Related Technology
3 r3 L8 R; u3 mImage and signal processing
$ A* Q7 Q7 @( B" @) J) J' LArtificial Intelligence
- `; Z6 g3 ~6 J) q. vSoftware engineering
0 i( o" f6 q& w- GSystems Engineering % u. g0 C1 q5 g8 g3 _
Computer Graphics
0 C% x, S$ Z/ eComputer Application ) {8 K% R9 Q2 p' C
Control Technology - z9 V/ O1 B0 ?1 h
Network Technology
; _& S) R$ J. J+ F0 @Network security
6 I+ Q4 s1 t( [3 ^! K- y9 MNumerical and symbolic computation# I1 L. G# r( {
Computer Modeling and Simulation/ p. S- D6 w/ H/ {/ |. b
Communication Technology
# h& O1 k2 B5 ZAlgorithms and data structures
4 u0 P" D) l9 d( b5 L. t" v; p! x qComputer Education
, Y6 _7 ]1 q+ Z& g2 o+ XOther Advanced Technology$ b6 t5 R$ ?# w
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DBTA2010会议联系秘书处* j; F4 d& u4 k& r( Q
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邮件: dbta2010@vip.sina.com, info@icdbta.org
$ `8 j; l# ~" B+ b* z0 V) M7 N7 y2 X/ p电话: +86-15102769170( j: f! r6 D- a* O
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