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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: 2010-5-4 16:05
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)5 R8 |% g7 x4 ]
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)
3 \: [' S9 R+ z4 I' ~8 B2 @, I11月27-28，2010，武汉，中国 ! A5 |% F7 B' k/ g
http://www.icdbta.org/* V- }4 o4 l# J

/ ^! C) M' M0 k# [论文提交日期: 2010年8月18日
( h( @* [# O) w! Y" h$ \. b5 G论文录用通知日期: 2010年9月 16 日
3 g, T- W  j( x7 n! {0 @/ O论文修订版本提交日期: 2010年9月22日
  b# i9 j( w2 X# W2 E论文注册日期: 2010年9月28日
# K+ \6 q2 R5 _) w3 i论文提交系统: http://www.icdbta.org/dbta2010/submission/. D: o5 o2 ?: S5 R
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc（只接受英文稿件）+ `( b* J* A' r, `4 V
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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# E. \% o; b7 k8 D, ~/ P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。- B+ X) d1 Q+ E* Y: a
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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：2 ^" _+ P8 o; h; `5 l7 ], Q

" W/ p$ N; B2 `+ o, O1. Database and Related Issue 9 Q' C: j% G( N+ m+ U6 m$ r
Temporal Data- c# Q& I; f  {4 G
Scientific Databases
# Y0 v: M) k, Y8 d# G# Y- x6 J, JBusiness database software
, |& b' x6 t( S- J  BComputer data processing
$ p4 v, u0 F$ q$ t1 ~) i/ }: x4 A: |Data processing services
7 F5 u3 N: U" I! dData processing supplies
) i1 W3 j, q. |" o6 JData processing systems
4 h5 N/ s' u* _3 m- H# X4 F- }Metadata Management
: u# U1 T% w% x7 k& t  cMobile Data and Information' h% w6 P8 ?+ l' _# f
** Databases# j- Y3 h( Y; l' c% S, M
WWW and Databases" ?; y/ V. p9 F% m5 d. @' ?1 |$ W
Workflow Management and Databases9 s& r$ R6 Y- x
XML and Databases
7 b+ u8 O4 y0 K- i$ G** Databases
, o; W% i. H- U, `+ o/ yData modeling and architectures
5 M7 u# u/ k7 {. V7 e- a+ H: gData streaming, data provenance and data quality/ S4 |7 Q- P1 n& _& r) C
Data Security, privacy, and data integrity
3 d: Y: ?  [  A4 R" _Web Data and the Internet
& t" @& P1 A& n* _2 h8 ?XML and databases, web services  C: u% }; S! q4 D8 E: j. f" W
Semi-structured data, metadata2 t; x- t/ C& H3 f: M
e-commence  T: _$ x, o7 k  V, K# V
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2. Data warehouse and Data mining4 ^+ L: i" I( ^4 ^- |
Grid/Parallel/distributed data warehousing
3 m1 J6 e- t7 {9 o9 [7 o+ p! gWeb/** data warehouses
4 z& R4 m2 O$ x/ ~! XData warehousing and the semantic web+ x  d( g: B6 v6 T
Data warehousing with unstructured data6 \6 h5 S" X- J# w0 X: X
Integration of Data Warehousing
% v9 t/ [5 y( fData and knowledge representation
4 _: u! f4 t3 R0 u+ S) V* u: bLanguages and inte**ces for data mining
' D/ T  Q$ @# z8 [7 N2 AData integration and interoperability
* x1 u2 T; ^8 |. k! d$ [: JData extraction, cleansing, transforming and loading; m6 h" Y9 x) e4 q4 @  U& T; U
Data mining and information extraction
6 W, y  }5 j. ?KDD Process and Human Interaction6 q4 W* b3 r- T
OLAP and Data Mining' u# j7 N1 u  H' b
Parallel and Distributed Data Mining
2 u4 C8 S  ~& fPhysical database design and performance evaluation4 R1 }0 u) |5 I6 x2 u4 y
Query processing and optimization
. _( _. S6 |5 p' |( L# ^7 W) x9 q2 eReliability and Robustness Issues
3 J' u) l% p) k$ dSemantic web and ontology* W8 d4 W" b; x! V5 X, S4 }+ H
Software Warehouse and Software Mining
8 K: E  d  x6 D" F- CSocial and mathematical statistics: v" S0 n; d3 E3 B, ^* k7 C, ?, d' P
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) 3 Q$ q5 W; m  [, w" b* y8 _
Developing a unifying theory of data mining
) X$ N( N# k8 t# D8 ?9 b* DMining sequences and sequential data" f7 R8 G* Z2 J! G" H
Data pre-processing, data reduction, feature selection, and feature transformation
  r  z& y% [+ k$ H" g. O* _0 A, F6 vQuality assessment, interestingness analysis, and post-processing
# Z% o* l& H) E  \  q% H. Z# ?Mining unstructured, semi-structured, and structured data
5 m/ s. d' x; C$ }( nMining temporal, spatial, spatio-temporal data1 E: ~3 t! P9 T# P  V
Mining data streams and sensor data+ k2 C% E4 \- D8 |0 K
Mining ** data
, X( Z) H' x( Y4 K" y, w% LMining social network data
/ S  x' `7 }& `% \Human-machine interaction and visual data mining 7 S* T8 i$ H$ D2 @3 C2 v5 [
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
( D" w7 d1 `2 z3 z4 z8 dKnowledge Acquisition & Management
& y4 o4 O  w) x6 F6 TKnowledge Modeling
" F/ v  A6 @. d; [7 zKnowledge Processing$ e4 i$ L* T% r, d
Integrated KDD applications and systems
1 K* y2 b  J) z1 a  c0 N) }Business Process Intelligence
# N# v. K0 d! l4 E  V1 N8 GCluster Analysis and Knowledge Base system
4 R- e$ H  l1 }8 p' O0 x( {6 vInformation systems technology4 G1 U2 e, ^1 V
Other related technology about data mining7 @5 q: Z, @; i4 L& v
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3. Computer Science and Related Technology
+ X" G* P& }' i/ w9 ]Image and signal processing
( ]" |& f; J+ S2 l) rArtificial Intelligence . c/ [  d1 ]7 ^- Q7 f- f# b
Software engineering $ N  b3 w' C5 {& G6 \) t, Z" t
Systems Engineering
2 L% M7 ^! M0 r% {' c( `Computer Graphics
1 w0 t1 B9 N* |$ c8 FComputer Application / j# P# Y6 S. S; x/ m, @9 f1 \8 g$ D
Control Technology
! S) Y. m0 I8 o, F+ jNetwork Technology 4 ]8 Z$ v5 m" M* I3 h
Network security # y5 S* J5 A: A  w
Numerical and symbolic computation8 F8 }5 ^/ R5 R3 [/ L" d7 m
Computer Modeling and Simulation: Y# a4 C0 c0 w0 W/ S! Y2 ?$ y
Communication Technology
1 L: m0 E( `: x: O9 TAlgorithms and data structures. f( b4 n& g* J+ }0 s3 C1 z+ M
Computer Education  m4 U% x# h" T+ {. h
Other Advanced Technology- ]+ S" J8 W+ J
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3 q4 ?4 b/ r* c+ GDBTA2010会议联系秘书处! [3 {0 s- F) G# L, w1 j7 j4 m( M% O  [
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邮件: dbta2010@vip.sina.com, info@icdbta.org
% a. X: |+ }) m5 x" `7 {1 }电话: +86-15102769170
+ k3 }5 U) S; u( h======================================
作者: 数学者    时间: 2010-5-9 13:35
逛逛~
作者: liuxn_2005    时间: 2010-5-11 19:36
顶一下！！！！！！！！！！！！！！！！！！！！！
作者: wuyemin    时间: 2010-6-7 03:11
好东东~~~~~哇哇哇哇~~



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