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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)9 K5 }5 B: o- Y0 H5 D3 \8 N. @8 g
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)2 d: H' f- b) A: a
11月27-28，2010，武汉，中国 - X  ]$ {0 V) ^4 s( k6 H! w
http://www.icdbta.org/
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论文提交日期: 2010年8月18日6 @6 o4 x4 X2 t# a2 h- n/ q
论文录用通知日期: 2010年9月 16 日
# \# Y( }& P/ J" I4 m$ O1 t; b/ v0 H论文修订版本提交日期: 2010年9月22日8 C2 f# x; r$ h9 L3 ]6 ], }5 G* o
论文注册日期: 2010年9月28日! U* s. c; u4 I# F/ }8 P7 n
论文提交系统: http://www.icdbta.org/dbta2010/submission// z6 z! T7 ^2 F9 `5 W% |2 A
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc（只接受英文稿件）
# ^* |+ G$ @! k7 \/ {2 c' X9 H7 y/ tIEEE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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: L1 O1 ~! l. A8 b4 \: a8 T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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$ ^3 U# G" `6 p, v3 G+ w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：9 f) l3 k0 y% I/ s, K* e
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1. Database and Related Issue
- K  o, Z/ k8 V+ n' L8 xTemporal Data" h2 k0 M  o. R& _" ~* z' y+ m- m" \
Scientific Databases
; B! O+ K: C& L' e/ V  [* sBusiness database software1 c* U, m/ z' [, Z9 A4 W
Computer data processing
: F0 q5 m4 K; M3 dData processing services 6 D8 v  \# r0 h2 m
Data processing supplies # h9 w# u: k# T  c( y7 ^$ o
Data processing systems
7 K/ \/ j# B! ]* O+ C4 D( t) NMetadata Management
& O6 B4 P: Z: h$ Y1 `. vMobile Data and Information; A& m8 s$ `- T) D4 Y
** Databases
7 K- f& I6 a7 i7 w4 i* SWWW and Databases0 o1 ]6 ^% H0 v& S7 n4 G5 p  e
Workflow Management and Databases8 f2 X6 x3 A' `
XML and Databases: Y3 }* `6 d! u) ~# {
** Databases
, w% g$ Z* E- Y3 }& YData modeling and architectures7 _( W. P, B  H* F( t
Data streaming, data provenance and data quality0 X( I6 R! v( E4 t- E3 K7 A& T0 O
Data Security, privacy, and data integrity . U+ [! X7 _1 h! Y
Web Data and the Internet- U- ~6 k' M$ z4 C' d4 h2 `; {, B
XML and databases, web services( h( g$ z) K. Y& ^" g
Semi-structured data, metadata+ r, v1 S, k  ^0 N' T& j- x2 A1 ^
e-commence- D( u5 n/ Q5 \& f+ o2 p  L+ P8 d
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2. Data warehouse and Data mining  I+ [4 p8 i) ^' X
Grid/Parallel/distributed data warehousing  A% m* J: v2 t3 l1 @* y- _
Web/** data warehouses5 p; J) `# t" m. n3 e7 p: ^
Data warehousing and the semantic web( x' A" l8 v& Q* o9 s
Data warehousing with unstructured data0 L6 H  R( v# n) N, R4 T
Integration of Data Warehousing' a& l7 n$ y* Q3 \# i2 |
Data and knowledge representation" I5 }4 G8 s' q& M
Languages and inte**ces for data mining7 a1 f/ |( F1 G
Data integration and interoperability8 v& n6 {  K: N* X; D
Data extraction, cleansing, transforming and loading
4 c1 n2 T+ b& L4 r6 xData mining and information extraction2 `1 x) p& C, n3 n6 Y( u: `9 w
KDD Process and Human Interaction
2 u/ F! {4 H: E% MOLAP and Data Mining
5 K3 G# s- Y; O% [2 GParallel and Distributed Data Mining: j' T3 }) `* q, w( e. Y
Physical database design and performance evaluation
+ {2 n4 k. t* f5 N2 Z/ CQuery processing and optimization
! e! K4 E7 N/ V2 t* o% _Reliability and Robustness Issues" n% g, M# w5 Y) D/ U- E3 l
Semantic web and ontology1 [0 P; n4 ^% M+ M/ ^) g$ A; O
Software Warehouse and Software Mining. h+ [$ C7 m0 y3 x0 p  Y& X+ u; s7 k
Social and mathematical statistics% u5 n8 D4 e$ w6 ~* U; r
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
; {: M3 q6 D) |Developing a unifying theory of data mining
) e9 N1 w& L$ PMining sequences and sequential data( B- P9 h' s' B5 l
Data pre-processing, data reduction, feature selection, and feature transformation
0 y& h; a2 m' h$ D2 [* ~9 u( KQuality assessment, interestingness analysis, and post-processing
( p* T0 n( U0 N9 mMining unstructured, semi-structured, and structured data
& S) e! \9 @8 Q5 Y- UMining temporal, spatial, spatio-temporal data3 {3 z' M5 f; `
Mining data streams and sensor data4 g' K1 s3 ~9 A* c
Mining ** data
3 v$ l+ D8 |& }, sMining social network data
, r& b+ T+ J1 P3 l$ Y6 g% S5 t# xHuman-machine interaction and visual data mining
- P4 ]- A% p5 {$ M* M; BData mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc), K8 {( U2 D! f4 ~* a/ r
Knowledge Acquisition & Management1 ?7 V3 }0 ?/ D# w4 j- z, O
Knowledge Modeling
6 s9 L& O% v* E3 c% P' Z, E5 ]Knowledge Processing
; ~* o+ v8 T  S  H" t- KIntegrated KDD applications and systems
5 S% q8 C; A! B& \# g  mBusiness Process Intelligence& `9 q+ g0 g, K$ x( |
Cluster Analysis and Knowledge Base system# Z3 Y( q0 j9 Z2 }3 K8 i
Information systems technology. V; W; I( H; g
Other related technology about data mining
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$ s5 L  B% [4 c9 ~6 L6 L3. Computer Science and Related Technology 9 L5 W7 W. ^" M
Image and signal processing . Z2 K5 m5 z, P  u* {% p
Artificial Intelligence
, Y; j" u& f4 t" L- p) zSoftware engineering % i) l5 O: P* s2 g9 b
Systems Engineering # g/ j# \4 L$ r. u' ]# U7 m
Computer Graphics
9 R2 d) R( I4 Y' |Computer Application % i- R$ H6 P$ p5 L( C% H$ U, |
Control Technology
* @4 O  p; _8 b* c9 ?$ {Network Technology % J: _/ M+ Z% x* y- x2 N6 p7 A
Network security 4 C* O+ M) A7 e
Numerical and symbolic computation
/ B" c9 S. c  tComputer Modeling and Simulation
7 }) w% C. V# g8 \$ vCommunication Technology - u9 u$ I+ j9 Q( i4 z( N; `, M) x; H
Algorithms and data structures
! ?$ a- o; F9 `$ I2 I5 qComputer Education
& D; s. t9 ~0 m& [; vOther Advanced Technology3 e( v9 w2 I$ t" Z- ]6 e' [# H* h
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9 C1 E9 w9 O+ q! d) F+ z0 v5 ]5 Y3 `DBTA2010会议联系秘书处
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邮件: dbta2010@vip.sina.com, info@icdbta.org, Q  S% \. p# U- s/ S9 Z9 I) |
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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