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[讨论] 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)5 d* _" @- c& y, Y0 j/ X; i
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)
! K3 n- p% Y1 M. P( m- `11月27-28,2010,武汉,中国
# k* C1 k& _# H, `. W: |http://www.icdbta.org/dbta2010/
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论文提交日期: 2010年8月18日
8 A% F% M9 h* Z9 {2 x论文录用通知日期: 2010年9月 16 日% w; ~" [% G5 @# D& T
论文修订版本提交日期: 2010年9月22日
" K7 ^7 C' y# w* A论文注册日期: 2010年9月28日
) N7 V- }$ d7 l( K0 u论文提交系统: http://www.icdbta.org/dbta2010/submission/& t4 |5 w1 ]# }7 b0 w5 N0 g
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)
7 g, r6 t4 t: Q. l% Q  X* `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。5 L) a7 Z. {0 K! L# o4 J
& Z/ E* y( {. r5 M( J5 M( S
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:
. ]6 \5 G0 _0 [0 d, |. V3 ~1. Database and Related Issue / 数据库与相关领域
; H! }) w- e; Y3 _Temporal Data
& @  I# O/ T3 S  IScientific Databases
, T. a. D" w1 W! TBusiness database software
* C; G& b5 l0 ~8 BComputer data processing ) j1 G: U& O& N8 s4 ^" [
Data processing services % |; M8 \7 h0 H7 S4 s
Data processing supplies
& ^5 X+ @7 I: r; t8 iData processing systems
: b5 A0 F( K1 o1 k& e6 n: qMetadata Management1 l: G( R! a/ P; s0 j: {
Mobile Data and Information$ S/ o& G/ V" _# d5 s
Multimedia Databases
; t% |  z  B/ H! }, lWWW and Databases1 @& ]  a* \5 E1 _5 H
Workflow Management and Databases
( o. k7 O' O: Q" R+ P% XXML and Databases
) \/ Q" P# t0 X; \5 lMultimedia Databases
1 u5 ]% v! X9 H& FData modelling and architectures  i' B) R( K6 ~) q+ e( D3 e5 M* G  d; Y
Data streaming, data provenance and data quality
+ ]3 H- s! j5 ?Data Security, privacy, and data integrity , n( C& k1 E; T% {  @: ^# }
Web Data and the Internet
, M5 ~0 F) c/ e0 N4 lXML and databases, web services
/ R  i0 M4 X! Q$ ~( f  j* W& |Semi-structured data, metadata
0 `/ B; |& t6 I3 O9 G  B% fe-commence" X$ c  p5 C- p6 j  n8 ^

% V* v, m. j0 I3 Z2. Data warehouse and Data mining /数据仓库和数据挖掘- g+ m( G0 ^5 w' T' `: r
Grid/Parallel/distributed data warehousing1 o# M8 v$ l- ^* [# z2 u
Web/multimedia data warehouses
# V  l2 k* U  E+ [4 UData warehousing and the semantic web# b0 N6 s. X3 F9 E
Data warehousing with unstructured data
2 _  Q* ]' [$ J) kIntegration of Data Warehousing
( z' d3 P8 s+ k. U+ c4 _- J! @+ S% sData and knowledge representation; S7 a. U) X; L$ G# Y
Languages and interfaces for data mining# J$ O7 B+ n" S) C, y
Data integration and interoperability* C$ B/ U* Y; q* f; X! ^
Data extraction, cleansing, transforming and loading
( w& z8 ?# ?% LData mining and information extraction
0 {+ r6 k6 K7 E7 \( k* x3 @KDD Process and Human Interaction% P: O8 |( ~4 h* S1 }' Q* `- T- q
OLAP and Data Mining
" O, \6 h# Z4 Z- CParallel and Distributed Data Mining
# a' @1 }& H! p" HPhysical database design and performance evaluation6 U1 o% |! |" H% G( s
Query processing and optimization
; @3 ^3 I$ J# T) s1 }Reliability and Robustness Issues
6 N0 z: b' n; \Semantic web and ontologies% g0 T2 C' ?( H- u" k
Software Warehouse and Software Mining
/ q1 R" J2 M) E: w' BSocial and mathematical statistics
' Y& W9 a; Y: p+ _" ?6 l1 g# xNovel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) 3 D" k8 n+ z+ Y6 v
Developing a unifying theory of data mining
, `( B- @' q$ W! Y9 C' Q: o  lMining sequences and sequential data
# ^, ]; n: |5 F9 X5 n- h& g9 ]Data pre-processing, data reduction, feature selection, and feature transformation , p* [+ W$ M  y& k6 c
Quality assessment, interestingness analysis, and post-processing 0 p8 Z. c: y) o* J$ r8 I1 [
Mining unstructured, semi-structured, and structured data0 Y2 k! |, X, U: K4 B
Mining temporal, spatial, spatio-temporal data! Y5 y6 q- h3 N6 A5 d, d
Mining data streams and sensor data
# v+ E7 v" C  I0 x" H) H; W) B9 }# PMining multimedia data
( H% `1 D* C& X3 N$ C  X3 I5 q* eMining social network data8 x9 q1 r5 r7 D# [; s. J/ Y: N  u
Human-machine interaction and visual data mining
7 C0 M+ a1 m2 `4 U' I3 NData mining applications(bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc). k: t) N& W0 O4 T4 m
Knowledge Acquisition & Management+ E. b6 n+ c- b- ]. e5 @7 a
Knowledge Modelling* u3 Y& |- m8 K9 P: U7 V1 u
Knowledge Processing1 X& m& P, F8 R3 Q+ F
Integrated KDD applications and systems , z, I! Y) `3 u' C8 d
Business Process Intelligence4 G) I% E: J2 l+ |' Y3 O/ k
Cluster Analysis and Knowledge Base system
  T) `& N7 @/ G0 r2 WInformation systems technology
6 _9 m  F$ |1 D( J2 {  LOther related technology about data mining" x. P# d  G! X' z8 z
3. Computer Science and Related Technology /计算机科学和相关技术( @+ g: F  U# G3 G1 o
Image and singnal processing : {. K# ~: R# t- L. a2 v) k
Artificial Intelligence
) O4 A1 E, P* sSoftware engineering
. u* y4 M) Q$ C! BSystems Engineering
6 a( A% {1 ^% Q/ A2 RComputer Graphics
& s4 A9 Q  L3 Z( d' tComputer Application
* B2 l; B+ h" q! {7 }/ I7 [' TControl Technology 4 A4 M6 l) p" m. g; \9 t/ }
Network Technology 9 k- b$ k. }5 a+ w  o
Network security
: g# E3 i9 x) z! d2 oNumerical and symbolic computation
$ c9 }6 }$ l, tComputer Modeling and Simulation
7 h+ f6 c, q6 b( {; _1 h$ uCommunication Technology + ]) R5 m0 n7 p: R3 u. j: @8 V
Algorithms and data structures# @3 k! d4 v7 J) X
Computer Education
6 ~+ U- V$ M) J9 [Other Advanced Technology
" L! d! \/ }4 x. _3 X======================================
1 m7 u5 h, Q6 p& a/ C2 B6 I5 ?DBTA2010会议联系秘书处
5 Z, m6 Z5 C' E5 @2 E. N6 Q" e  j* _  _  b6 F
邮件: info@icdbta.org, dbta2010@vip.sina.com. A: b- g. H5 Q  ^, X" J  N
电话: +86-15102769170
: Z3 s. K4 j, h1 Q: A, f======================================
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