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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)
6 S4 B! U$ g% A) ?( S+ ~, e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); I. G  b0 C4 K2 d/ r
11月27-28,2010,武汉,中国 ( E/ `! M3 ?# i6 A5 f: z( L
http://www.icdbta.org/9 B2 A  h: K: j: u

, H! n! r3 W% |4 Z# s! d/ N论文提交日期: 2010年8月18日* }2 q; N1 G& h9 i$ P
论文录用通知日期: 2010年9月 16 日2 h, p* |- }  E% [, V
论文修订版本提交日期: 2010年9月22日
6 `' P" @& P. S8 A6 Q! G7 R0 M论文注册日期: 2010年9月28日1 ^. }0 [; s' ]9 J9 Q/ ?2 C: f
论文提交系统: http://www.icdbta.org/dbta2010/submission/
* l7 F; e* M% p# r; k  h' j  E( M会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)
. P+ u7 a  D' Y0 k1 T% G- DIEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)# d! u) |% z) B4 g8 V8 ?) ]

2 |9 H5 X5 D2 @# F' X7 n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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0 D/ @4 ~: r+ j( R! ~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:( O4 |4 }( s# Z! b8 Y, f, i
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1. Database and Related Issue
% u' o1 K) x5 y2 FTemporal Data! M3 y* Q0 m5 P7 _8 I1 b: G
Scientific Databases
+ z# |4 S' Q: N6 c$ p" hBusiness database software
* v0 ?# p: p1 R4 wComputer data processing
0 T! R9 [+ |) w- o% n0 Z" N. YData processing services 9 ?' c; `8 B* C6 D
Data processing supplies
0 ^( V0 A1 I3 Z" X- c: rData processing systems
  }4 [! N! J. ?, OMetadata Management; D0 v$ s' V/ c% a( L- C. |
Mobile Data and Information
5 P& E4 u/ p" `** Databases
: [2 Q9 o# A4 g6 F! vWWW and Databases2 z% K) f0 a# h0 U! k* F
Workflow Management and Databases
' s5 v% O6 K2 L+ N- H8 k0 KXML and Databases
- C+ }9 C& {9 D# g4 S" V' a2 c** Databases
" F' G( |3 L2 A+ Y. F5 D5 @Data modeling and architectures" D" E  R1 Z8 h. m: \7 E. e7 Z; @
Data streaming, data provenance and data quality
* G+ F' |: Z1 `, q; L) b2 P; QData Security, privacy, and data integrity ( |: h, r( O% @. G* R4 q( |. M
Web Data and the Internet" Z+ G( k2 f$ ?" T3 F* B9 e
XML and databases, web services
9 H6 q" M1 y% S( I8 b! E4 j8 ESemi-structured data, metadata
& e, u( |: n! L, W* Se-commence
7 S3 H# t9 l6 J' ]
3 ?9 c. Q4 c0 n( k& Y* E7 H2. Data warehouse and Data mining5 ?5 t; @  Q7 g6 L
Grid/Parallel/distributed data warehousing8 x. u% B; l" a: w: ?) `
Web/** data warehouses9 B! a0 T5 y4 h8 L
Data warehousing and the semantic web
( q3 w2 V; i( s$ u8 `! j8 L4 lData warehousing with unstructured data( k2 I2 Y' o( g2 _1 u4 R  _
Integration of Data Warehousing$ h- k0 P: F% r- p
Data and knowledge representation2 |, R/ B1 w  Q/ ]& ~
Languages and inte**ces for data mining
% J" C9 t/ u8 z1 @Data integration and interoperability
6 w% G5 ^& L- [" ?3 t: n+ YData extraction, cleansing, transforming and loading
/ Y8 i$ b2 P6 y6 k9 F; nData mining and information extraction
, U% {7 q7 {+ s% Q9 X# t& \KDD Process and Human Interaction
5 S& b% n# S8 f4 r$ T4 |) S" r/ lOLAP and Data Mining
- M, B$ `% s" B9 n( I& n# b. {Parallel and Distributed Data Mining
4 b0 f( x6 A; yPhysical database design and performance evaluation8 }& s; \1 u; ]3 _0 D
Query processing and optimization8 t. ?, W1 @& n. A3 b2 x8 ~
Reliability and Robustness Issues! s& k6 A/ U3 f" m; X6 Q
Semantic web and ontology2 b% T) I( R# V: a6 R% ?& }
Software Warehouse and Software Mining
6 W3 l, G7 u5 w: R9 `/ R- i& dSocial and mathematical statistics
! F6 p% h: @1 n& E3 cNovel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
: n  P6 v% F) c  H( ?% k4 qDeveloping a unifying theory of data mining
) g- J, K( {" K3 X$ v) jMining sequences and sequential data: M; T, a8 i' f( G
Data pre-processing, data reduction, feature selection, and feature transformation
; @4 X) E* b; s. i6 o8 bQuality assessment, interestingness analysis, and post-processing 8 {* V( V7 G% M; u' k( t- q8 \
Mining unstructured, semi-structured, and structured data
- t3 H& Z$ k4 [! y+ [Mining temporal, spatial, spatio-temporal data) {3 t  y6 {. Z9 l
Mining data streams and sensor data
  z9 ~4 o6 [6 P: I2 l: o9 tMining ** data
- P7 J3 L( O, [* w" n" S7 zMining social network data
8 x9 g1 M8 v9 _- s9 E9 v4 k; SHuman-machine interaction and visual data mining 1 Z) ]; r/ v; ~: M' Y+ N
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
1 V6 c: P! r# H$ Q3 q4 q2 r) qKnowledge Acquisition & Management& N# _, ]# Q0 J" Z6 E- i% G
Knowledge Modeling8 b" y) X( F# e% y
Knowledge Processing" r' `- ~! \6 A6 ?8 z
Integrated KDD applications and systems 3 g" S* r# ?5 x% ?- J* f
Business Process Intelligence
6 O" E8 J( @  K7 M. S+ O/ CCluster Analysis and Knowledge Base system
# N- O$ U! T7 T  j+ X' u) bInformation systems technology- K0 {0 p. a, v3 z6 w/ f3 F
Other related technology about data mining  M7 ?) _8 P- h7 Y. z5 ^

  l6 O: U: a4 K  w6 t3. Computer Science and Related Technology & [. `1 `0 {# X, f: c2 Y
Image and signal processing
0 l8 X' Q$ M5 @, ]9 b, @, r' b2 X+ u7 dArtificial Intelligence
7 s/ R3 @5 V6 q: W% \Software engineering , j% T) o- X0 f/ I! k1 O
Systems Engineering 1 K5 b) s; L8 B# Y3 ~
Computer Graphics 7 F  M. @2 ^: P% s- M5 \
Computer Application
$ C# m! I' n8 J+ t" g% f; T( IControl Technology
% F4 e  o$ d$ r8 T; kNetwork Technology
4 x3 ?1 F8 B0 q5 e" A+ i$ i0 |Network security + j3 q. z" |5 t' Y6 v; K
Numerical and symbolic computation
% \6 [4 Y/ |& q9 |Computer Modeling and Simulation
/ ]! Y2 i! j% k. }Communication Technology
* @- C! U# }! L. j" z0 jAlgorithms and data structures) T& x* L! }4 f! K& {! z
Computer Education
' \/ Q5 p  R* _Other Advanced Technology
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7 S1 @+ h" f1 J8 r5 Q+ K======================================
' E8 w  r! A7 D* z) YDBTA2010会议联系秘书处
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邮件: dbta2010@vip.sina.com, info@icdbta.org( G  F5 }1 ^2 _" R. D) J- L" J
电话: +86-151027691707 f  ?; z2 M9 `& q8 n
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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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