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第二届IEEE数据库技术与应用国际会议将于11月在武汉召开

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The 2nd International Workshop on Database Technology and Applications (DBTA2010)2 O! B  ~* M; P1 R0 H; _4 o
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)
- ~4 [7 t7 x  X0 L11月27-28,2010,武汉,中国 5 B; V9 X9 q4 S9 c6 B* Z& M. m
http://www.icdbta.org/dbta2010/3 [+ V) a5 a, \) q) [1 }

5 n! S7 z$ T$ H7 g9 i6 a6 x论文提交日期: 2010年8月18日2 q6 W9 G" v( [# @
论文录用通知日期: 2010年9月 16 日
" S' p, n& N  ]/ K; c" V! @5 z* y论文修订版本提交日期: 2010年9月22日& L' }5 _& ~) G3 h( ?
论文注册日期: 2010年9月28日
! U- b! a$ C6 _, M6 Q论文提交系统: http://www.icdbta.org/dbta2010/submission/$ x1 O% I6 N6 D* |3 T9 U% p- a0 A
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)
, q. S# J4 q3 _" g2 q3 GIEEE会议论文版权表:http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc(录用注册后提交)                                : z7 m8 K: Q! k' K. g, n/ H

" D8 C5 k' A# K7 n2 K* 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EI Compendex和ISTP检索。会议优秀论文将被推荐选入EI或SCI收录的国际期刊专刊发表。* d. [. d+ ^; O7 v  I4 V
  ?8 q. _$ K  d% O% V- g
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三个领域构成,但并不局限于:: F5 Z( G5 f2 q% B! h7 K; y
1. Database and Related Issue / 数据库与相关领域4 A" n% D9 C" h# `" N$ m8 z& v
Temporal Data- T+ {( z  p" A
Scientific Databases
* T  V7 O6 z+ [Business database software
7 Z' S: A2 s, V7 _3 [3 H. e  }+ uComputer data processing
- |) r* ^9 g  j- r- fData processing services 1 ?) w2 M/ M/ a+ S
Data processing supplies
9 F& d) t# n. h1 ?3 w, BData processing systems- W( U1 f' Q7 G1 C
Metadata Management
6 X/ [7 c3 ?, y8 A9 D! q$ QMobile Data and Information% ~  j7 G7 z4 V
Multimedia Databases' {' }, h9 ?/ ~& R+ {
WWW and Databases
, l: v5 W6 G" f) H7 _# i, CWorkflow Management and Databases
" C9 ~3 c* O! X$ ~& h( ?  G5 i) g. vXML and Databases  Y. V0 Y5 }, ?$ d  r( h1 n9 `% t5 a
Multimedia Databases: I; s* Q/ f+ X- ~- W  _0 T
Data modelling and architectures
1 p5 p( a- a+ AData streaming, data provenance and data quality
# \; w2 F# A3 v' F. y' cData Security, privacy, and data integrity 6 \2 U  N& o2 e# x. ]1 I* T' U
Web Data and the Internet9 q4 \% c; {$ f$ A# l2 q0 Q" Q
XML and databases, web services
' t$ @; e, a- Y' [: k$ T$ h" ySemi-structured data, metadata
1 H" J) ]. N6 b9 c4 \e-commence; w: W2 A  `7 M/ k: ^

) m9 b* Z3 F! U/ r8 E0 _2. Data warehouse and Data mining /数据仓库和数据挖掘; T" G) c: J1 o2 `3 p# u
Grid/Parallel/distributed data warehousing
- }  I; f2 |5 q6 j% R. nWeb/multimedia data warehouses
- q" @9 E1 ~0 @( {) G8 x; XData warehousing and the semantic web. w5 E" [4 U; t4 t1 t/ V0 J) h; E
Data warehousing with unstructured data
, K+ B- o5 M/ |$ UIntegration of Data Warehousing
* v# R6 r& S( w% m- v9 uData and knowledge representation0 b2 S& }; [* n
Languages and interfaces for data mining
& e* L1 `2 R% jData integration and interoperability( F5 G4 O1 q7 C6 ?8 x- w
Data extraction, cleansing, transforming and loading/ M! |- E& Z; b8 }: v9 \' t9 Z
Data mining and information extraction
# g: V1 ?, {* p5 R, n9 vKDD Process and Human Interaction
/ ~9 @. D" s& i; w5 q. y) AOLAP and Data Mining
7 J+ d" p$ a: D  z" ~' d: O; p9 pParallel and Distributed Data Mining' ~8 k7 T2 |  {+ W5 l- h% ^
Physical database design and performance evaluation
; O0 m7 I: h& QQuery processing and optimization
8 C2 b# t) E3 DReliability and Robustness Issues# q& z$ S& x; }
Semantic web and ontologies
1 c" n4 L, s: S7 Q( G' @8 cSoftware Warehouse and Software Mining7 A! v& W% u/ g' F. t" N
Social and mathematical statistics! n; [2 k/ j' V7 ^( j3 r2 R4 G1 U
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
2 s0 }* W0 \8 q4 ^1 ]9 G: M) DDeveloping a unifying theory of data mining
2 ~9 _  e" }+ Z8 Q1 G) Z, f2 ~Mining sequences and sequential data
. ~! z" d( h( h; L2 e1 [/ ^+ Y' hData pre-processing, data reduction, feature selection, and feature transformation
- ?# u# W' @: NQuality assessment, interestingness analysis, and post-processing " t0 Z4 g* b9 ]5 N& I
Mining unstructured, semi-structured, and structured data. W/ N/ K# F0 i( i
Mining temporal, spatial, spatio-temporal data
. [* a) a9 [4 g' f+ FMining data streams and sensor data
: O4 V0 W: j( N3 X% }Mining multimedia data% N: X# Q# d/ G6 j# D4 Q
Mining social network data/ O2 C. V0 U! a
Human-machine interaction and visual data mining
0 `  J0 a0 U5 s2 F( H% U, iData mining applications(bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
# @2 i. U  n* n* {) v/ b' CKnowledge Acquisition & Management
" _4 A0 ~8 {) [Knowledge Modelling
, D. w/ X* n- j) l' ?Knowledge Processing
5 z5 h. c% ]# W$ t) C: tIntegrated KDD applications and systems
0 d1 F! O. ^2 m7 w3 l5 ~( XBusiness Process Intelligence* Q$ j. T. \, y" J" ]/ s% {1 {
Cluster Analysis and Knowledge Base system
# H; ^+ }# j  n# Q7 ~, f2 mInformation systems technology% o, U: H, [2 d/ `
Other related technology about data mining
8 L6 z" w$ w, o( Q* J5 O5 `3. Computer Science and Related Technology /计算机科学和相关技术. ?/ w2 m& N0 d; N) r) J
Image and singnal processing & H/ h& U9 z2 [6 g" w
Artificial Intelligence # N+ e, C6 N8 y& m' |* U
Software engineering
$ A: Y, f! i* pSystems Engineering
& j4 G- n5 R) B+ n& b0 {" LComputer Graphics
- N8 U) D- }/ k( PComputer Application
0 G0 O8 o4 ?/ t# [& M$ f  lControl Technology
, C$ M3 E# c) U% b, @) WNetwork Technology
( O3 j+ T* j+ b: G, a0 @! uNetwork security . j+ b- t! h9 X4 ~# N# w
Numerical and symbolic computation
$ f% y/ |- D, q% u9 B0 T! oComputer Modeling and Simulation; y: {( P: s% d: Q% W6 c! O
Communication Technology
# p( d* `5 F0 c6 J& N. RAlgorithms and data structures
* i- U: k* {- iComputer Education% d- j- Q9 g% g* {' O4 P- M
Other Advanced Technology
! O! F3 C) B- g, ?, d; }======================================
7 X  O7 s2 J/ a+ z- jDBTA2010会议联系秘书处& @7 E& i; X% g$ W1 X
; c5 T5 e. P# t& n& V
邮件: info@icdbta.org, dbta2010@vip.sina.com( H# A, h4 E# a0 s1 K: Z& h
电话: +86-151027691704 q. g) t4 M9 C; g6 I( c/ L
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