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标题: 第二届IEEE数据库技术与应用国际会议-DBTA2010 [打印本页]
作者: power2010    时间: 2010-5-12 16:42
标题: 第二届IEEE数据库技术与应用国际会议-DBTA2010
The 2nd International Workshop on Database Technology and Applications (DBTA2010). [- A; }/ b" L. K6 `. g+ C
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)( T& m  M+ Q- F0 e0 A  H
11月27-28，2010，武汉，中国
( X( M( P  W' x; }+ Jhttp://www.icdbta.org/
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论文提交日期: 2010年8月18日: j+ @* l& g) P! ]8 W: F3 M
论文录用通知日期: 2010年9月 16 日
- H6 D9 a; e5 ^+ G; ~' @论文修订版本提交日期: 2010年9月22日
8 o! t4 G3 u8 P# A! o! Y- r* e论文注册日期: 2010年9月28日
: w% g# ^  b. f) y论文提交系统: http://www.icdbta.org/dbta2010/submission/$ ]7 D/ m, _7 c5 R
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc（只接受英文稿件）3 ~! d; y4 m/ p% C
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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! }6 ^6 R# M  B  y% H5 B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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9 Y" @+ G2 `: r9 X" B4 L& x( @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：
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1. Database and Related Issue ( l7 e' {6 U/ m5 y& P/ `; N
Temporal Data
: v* [9 J8 o, _* RScientific Databases
- M8 ~1 b; s6 l, p6 b" \Business database software
2 d6 U; w: T- c3 f! e: pComputer data processing
5 n- d. c1 l$ z$ MData processing services ; u% V1 i; u9 P3 J
Data processing supplies 8 {, h; j2 h7 r$ ?
Data processing systems6 i: C  \9 n1 Z5 `% R/ W
Metadata Management
' t' I& @) h- t7 ]) |8 cMobile Data and Information
$ e% b6 @' G& C/ ]** Databases( L1 o& H9 f6 s/ w. e) [3 V
WWW and Databases
; b1 i1 m1 O+ sWorkflow Management and Databases) {% E- P# X" D* s
XML and Databases3 k2 ?, @2 @' [" G5 A  y' t
** Databases6 a7 e3 K3 u! f2 o& d# K, w4 e
Data modeling and architectures
* S  d' L8 a7 j, T6 BData streaming, data provenance and data quality
) ]( f- Q$ X# K4 |0 jData Security, privacy, and data integrity , C/ S7 s& Q4 o& `% z3 V& {1 {
Web Data and the Internet9 }8 Y9 X9 J' h  N7 W
XML and databases, web services
- y; ~+ i' A; R$ Q2 OSemi-structured data, metadata8 f6 R( s- u" [1 }2 R0 a$ @
e-commence$ m$ H- Z5 g0 y5 x4 D* L
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2. Data warehouse and Data mining
; ]  U6 a% ^6 k+ s* [Grid/Parallel/distributed data warehousing
; s  i# k0 j) V- F( Y, {$ bWeb/** data warehouses6 }; a+ J( {/ U0 p- E7 W6 r
Data warehousing and the semantic web
7 h* @$ v6 q& P4 u# ^Data warehousing with unstructured data
7 |# B! Z. v- M2 q& l! f7 Y. Z9 ]; CIntegration of Data Warehousing+ V" E) `  l* j1 q9 ~
Data and knowledge representation
3 b6 A$ C, a& _  b5 e2 N0 Y: P' ~Languages and inte**ces for data mining
+ K4 X8 }8 U# V, ^! J$ y+ kData integration and interoperability; x9 a, O" t: g5 K
Data extraction, cleansing, transforming and loading
4 A" _& L$ d7 p" ZData mining and information extraction  N: Y0 k) |( U5 Q6 w+ a, f8 i
KDD Process and Human Interaction
7 D9 R6 o" V( Z+ h( C# Q' j( i' \  nOLAP and Data Mining
3 ?: k' Z+ H' \* v. Z( UParallel and Distributed Data Mining( U6 [' @/ w! ?/ i) r# G7 F+ A
Physical database design and performance evaluation
2 \$ }7 _- x/ |/ d  V" |Query processing and optimization5 K+ C0 o( O: `! f8 b
Reliability and Robustness Issues' k5 Y# F) B5 o! n" K
Semantic web and ontology& z2 n8 ~$ y0 U( U/ V$ [
Software Warehouse and Software Mining" D5 j) T- }6 D% H9 P" H
Social and mathematical statistics4 W  {7 p9 `3 p/ L
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
7 y; t9 x( a! N( T! nDeveloping a unifying theory of data mining & n9 I" S# b' z( q( ]
Mining sequences and sequential data
$ l6 K6 l  z; v6 `# f3 i- L+ VData pre-processing, data reduction, feature selection, and feature transformation
1 B, r" Y. q6 R5 S8 H3 PQuality assessment, interestingness analysis, and post-processing
1 r4 I0 Q: ?: p  L$ b, {, mMining unstructured, semi-structured, and structured data
/ c; y/ y  _, x! uMining temporal, spatial, spatio-temporal data
. A! b, Z  X5 G! y7 c5 ]* TMining data streams and sensor data
0 s- d/ F1 y4 {/ ^Mining ** data
! _! \  @8 r5 x3 ?# o- DMining social network data# O- }0 D6 t! X0 }; I. r- j: G
Human-machine interaction and visual data mining
9 t2 K4 M% I/ \! \Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)" _. J9 `! K5 I) I  C
Knowledge Acquisition & Management; @( u9 M: Q6 O1 a
Knowledge Modeling0 g% a+ w. h( w) {0 B
Knowledge Processing
* X+ T: d0 }7 n4 _8 XIntegrated KDD applications and systems ( y6 X  \, N& E# a2 r
Business Process Intelligence( p* A% c0 Y! U, l3 G
Cluster Analysis and Knowledge Base system
4 i! }  n9 [% d# `6 [: K  p( OInformation systems technology
4 Z2 D+ j$ y4 ]3 u. ]Other related technology about data mining
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# J% q/ v3 N8 l* G8 U) M2 E3. Computer Science and Related Technology
' C6 s5 e- _; `$ FImage and signal processing
8 F- x( I, X, y( w6 eArtificial Intelligence
# C, Y1 S. T3 ]; V% i; F- z4 LSoftware engineering - w1 [1 ^7 u( z6 A% {+ K
Systems Engineering : O, J( i0 W9 S5 v! x0 I
Computer Graphics 2 c( T8 s+ L; e, p* ?
Computer Application
' E  g8 o) L- d  w4 F4 NControl Technology : Z1 n8 R& x+ |: Y( O
Network Technology 0 M1 V& J' P, g1 @
Network security 0 j* X: o7 ~- }
Numerical and symbolic computation
# |9 s, r1 l. h/ t' E+ M% y/ xComputer Modeling and Simulation
- F) _2 }, F7 a! O! @' |8 YCommunication Technology
, ~& T" J/ g) ?6 K0 @) a$ @- DAlgorithms and data structures1 I. m$ @5 U6 o' u9 m" @% W! G
Computer Education  f8 [* U5 n% p
Other Advanced Technology
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" k* H" f6 b9 J$ G8 `  D" i; `DBTA2010会议联系秘书处" Z* c8 R+ x* L) u
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邮件: dbta2010@vip.sina.com, info@icdbta.org
+ @3 N( \- e' z/ |电话: +86-151027691708 ~* S3 {# ?) G3 e( E% g
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作者: zdshitiaogou    时间: 2010-6-1 08:39
抢沙发了。。。。。。。。。。。。。。。。。。。。。。。。。。。。



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