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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)
3 X4 x, R. Z1 i; S0 u6 z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)
! D( g$ i) E2 ~- m11月27-28，2010，武汉，中国 ; I; {& r9 m, b9 @. ?
http://www.icdbta.org/
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# o$ k' ?# d8 r$ k  K8 v( k论文提交日期: 2010年8月18日/ W) D5 |  b. i$ W2 [5 X* N7 M
论文录用通知日期: 2010年9月 16 日% \# ]# ~/ ^  J) D- p* G
论文修订版本提交日期: 2010年9月22日
$ A1 c2 n% i* M8 f5 q& D9 X论文注册日期: 2010年9月28日: ]9 o: y3 j: N
论文提交系统: http://www.icdbta.org/dbta2010/submission/( r' m4 q" H& n3 H7 [% Z
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc（只接受英文稿件）
/ Y; ~' `+ o8 ]4 V/ q: C/ v" uIEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc （录用注册后提交）( O% e. n- u: h( d

9 q4 ^& k, C9 E3 V5 I3 L- y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。, [# q: {+ p+ x6 [; ]5 Y" c' a

4 H6 k) p4 `) l) y, U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 # V) l4 P, O3 v: U
Temporal Data
6 k0 J" U4 [8 z# z; \Scientific Databases* D1 _  c( T, B" E4 H0 Y  \
Business database software
4 d+ m; K4 X/ G) n7 N5 X. L; LComputer data processing
1 {) v: r( {* I  M# e' qData processing services
7 R/ ^& }8 V! B* s4 Y3 PData processing supplies
% p" t; I  F" A9 K( B2 kData processing systems
" W6 o' s, D6 p* a- Y- RMetadata Management% l: p. r: _- e" n9 o
Mobile Data and Information
- Z, D2 ]7 {$ V# |# a& `** Databases
$ r: j7 X4 f, O/ X: k% p& M5 p8 sWWW and Databases
4 }  A# I( i$ T3 A9 s7 cWorkflow Management and Databases6 k* o8 L- v+ G( c( \
XML and Databases
* G4 r0 J! [$ A6 B  f** Databases
+ a" A% R1 d& r3 ?% G7 eData modeling and architectures! ~2 i: v5 o6 w3 R* P
Data streaming, data provenance and data quality9 V! Q3 t2 S# |9 b0 T! H
Data Security, privacy, and data integrity
0 i. h: Z$ z5 `# e2 D7 @Web Data and the Internet( n- {! x# L$ D  r2 f0 k( y
XML and databases, web services
, I7 W9 j$ x- m0 e* K* x, FSemi-structured data, metadata" k2 a" p/ c8 L1 `0 m7 ~
e-commence
8 R) k0 U2 f3 U0 g0 g  R9 `6 I: D
6 H7 x+ m1 l7 K( b3 c/ w2. Data warehouse and Data mining4 ?6 P/ R! `+ E3 l8 S5 n& F8 o
Grid/Parallel/distributed data warehousing& A( I( D$ p; o
Web/** data warehouses" F( h% B2 }7 B0 Q  T' M( ?
Data warehousing and the semantic web
" a9 y2 e3 y6 g  M& B* ^. G6 fData warehousing with unstructured data" g6 }; y4 F) T1 Q3 g
Integration of Data Warehousing
9 b. |3 ^4 y& r8 fData and knowledge representation! P0 l8 s4 q8 E8 P# H! e
Languages and inte**ces for data mining
% D# P) B7 E# \. E% Z5 S! `* Q1 o% E3 iData integration and interoperability
$ X4 B' [! T& `; c6 w! V4 M! H' wData extraction, cleansing, transforming and loading9 f% I; a" b/ b% c) d9 o
Data mining and information extraction
: r; w! \4 V' {+ HKDD Process and Human Interaction
9 G4 M3 D3 L( B6 B- HOLAP and Data Mining# E* e' g# p5 ^9 X
Parallel and Distributed Data Mining
5 ?5 w8 w  g" B. m) f& x# Z. }Physical database design and performance evaluation1 M4 K% G& `# G3 ~% T1 O/ L
Query processing and optimization
0 y4 s# S+ w# ~# BReliability and Robustness Issues) e# E- ]% {" c, u$ f3 F7 H7 b
Semantic web and ontology% F# d5 F& C$ O& I1 M2 n
Software Warehouse and Software Mining" x7 V* F$ [3 c/ A( ^
Social and mathematical statistics" |8 u, ?) o3 k
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
) M9 G3 p& O; b# {' nDeveloping a unifying theory of data mining
- e& G7 K) @- j: X" n8 UMining sequences and sequential data
( t( E4 N/ f! l, FData pre-processing, data reduction, feature selection, and feature transformation
! i, o& g3 E: V* ^% E: IQuality assessment, interestingness analysis, and post-processing
+ _* h8 i( V" Z% y# {Mining unstructured, semi-structured, and structured data
, g3 o1 R( m9 u5 v6 `, q: j; `; OMining temporal, spatial, spatio-temporal data) U% n4 \' ~  F, x" E
Mining data streams and sensor data. O4 Q: }4 `0 v" q6 D
Mining ** data
( D7 O2 P7 E  O" n; p4 s% L5 vMining social network data
9 X" H8 j0 g) H+ d3 D/ Q3 W) IHuman-machine interaction and visual data mining
: @$ z3 }$ n) L' t( oData mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)' d+ T' o- K/ C5 M
Knowledge Acquisition & Management) v1 I8 U4 G+ [/ L: ?  _0 O
Knowledge Modeling
: |3 J# Q3 x$ AKnowledge Processing2 L7 \& k8 F1 y7 N. ^
Integrated KDD applications and systems
: X  N- k5 @5 `7 K( d) NBusiness Process Intelligence
9 ~" V2 v* K; |4 i+ l0 qCluster Analysis and Knowledge Base system- C. j( n) ]  ]+ K/ t8 ]
Information systems technology0 X; ~9 K9 G5 }+ A5 [- Z2 q
Other related technology about data mining4 {8 g+ |% S' c" p7 v6 e
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3. Computer Science and Related Technology " _5 F1 m: {- y/ B
Image and signal processing
  T0 E3 ?2 U2 W+ ^9 d, vArtificial Intelligence 3 U9 r+ H9 b0 u" y; ~
Software engineering
# J8 a, \  R( P6 n$ E3 B4 JSystems Engineering ; G& K% E) q6 S
Computer Graphics
9 ?+ d  f  S- gComputer Application - ~- u! a! x5 u5 w3 _1 j7 }/ c
Control Technology . o* s, ~9 s, _) v
Network Technology
3 o: G2 p- X" }2 I0 }% l5 [Network security
4 r% s  i3 p6 `  ^& ^; WNumerical and symbolic computation/ [% V' u. J) F  T: d( D0 w
Computer Modeling and Simulation2 q' |1 k( c1 c1 X' o- u! P
Communication Technology & A' d' p0 Q# @( ?, j8 s) N
Algorithms and data structures& C" t! T! U& @$ }& q1 J4 V, Y- @
Computer Education
# R9 |6 [  _+ T  y7 q9 ~Other Advanced Technology' }7 s8 [' \6 b8 n' Z& @
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DBTA2010会议联系秘书处
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邮件: dbta2010@vip.sina.com, info@icdbta.org
2 Z) ?: h: B2 z% {# d电话: +86-15102769170
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作者: zdshitiaogou    时间: 2010-6-1 08:39
抢沙发了。。。。。。。。。。。。。。。。。。。。。。。。。。。。



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