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[讨论] 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)
  I- _) ^' X* E6 o% O$ p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)0 Y0 _/ |- Z  C! g
11月27-28,2010,武汉,中国
- \5 \$ w3 e3 C7 Yhttp://www.icdbta.org/dbta2010/
" X- a& N8 ?2 W+ ~* W% q. [
: E; L$ W  g0 ~7 q: {- q% F3 e! c4 A+ {论文提交日期: 2010年8月18日
7 f6 ]& w+ ]& E( s' O论文录用通知日期: 2010年9月 16 日
7 P1 r* B5 p( ?! j+ z+ T, L& Z论文修订版本提交日期: 2010年9月22日
- a+ d: M* E( ~- E  ], u. U论文注册日期: 2010年9月28日
* I: y  i/ d# i2 Z% H论文提交系统: http://www.icdbta.org/dbta2010/submission/
! w9 w! P" N% t% N7 D  B4 V会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)
! r2 W7 B9 z8 t7 nIEEE会议论文版权表:http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc(录用注册后提交)                                ) r# C' _& F3 V
- \. r. b# n6 l
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。; {- Q9 q( R; h
& ?, ?  ]# u& r6 V& H: A
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:
. R. ^( v; o: V: D1 @: G1. Database and Related Issue / 数据库与相关领域
# m/ W7 d# V" \. j$ E' DTemporal Data' c6 [2 j) J! @8 }- J
Scientific Databases
, d  x5 m$ t$ N  o  w& LBusiness database software
* |& W- n+ {" `' C1 vComputer data processing
& q6 p$ Q% \' W! d- g- }Data processing services
; c8 J  j- m; @6 tData processing supplies
8 O) e5 V( _8 W3 OData processing systems9 |$ `" T; f0 Q
Metadata Management
) B7 @  ^0 ~# x6 Z: K: OMobile Data and Information
. v& l* Y0 t( \% zMultimedia Databases$ L, b' q% A7 |3 m8 J
WWW and Databases
" {, L4 ]" b' r1 WWorkflow Management and Databases+ ^$ }- K% G( {7 M$ }
XML and Databases
4 T% X; R' r* M& i# JMultimedia Databases* F; z- s% D5 i
Data modelling and architectures) A) g  G2 m  L. B
Data streaming, data provenance and data quality& O' g' b4 M& x( ^2 {% w8 Z
Data Security, privacy, and data integrity / K8 ?: `( J: H! s& Y
Web Data and the Internet* d" l- }% f$ T. `9 `  x$ O4 W
XML and databases, web services
7 W/ Q! r. S; I* h( gSemi-structured data, metadata% K: k: u' ]' s# m, ?6 w2 m7 x
e-commence& y1 r7 u0 e, e; N' f% q6 n% D9 b  Z
9 Q" Y  n* S1 T# ~- i% x
2. Data warehouse and Data mining /数据仓库和数据挖掘
) _: G8 I* d2 n3 G6 ~  U) GGrid/Parallel/distributed data warehousing, E* d; v# c+ z& m3 m0 L
Web/multimedia data warehouses
! \- K. ?) T  l1 I1 v4 VData warehousing and the semantic web
2 Z& I+ N* I  [* F) tData warehousing with unstructured data: f4 a; {) h! M$ M" b
Integration of Data Warehousing! H( J2 }% d5 q
Data and knowledge representation6 {+ @; L- T; q- G& ?+ v1 p+ e
Languages and interfaces for data mining
7 T& C  T) y) q% ^Data integration and interoperability* d; j& F  i2 Z; u$ L, h1 q
Data extraction, cleansing, transforming and loading, D$ s/ \/ V  A
Data mining and information extraction0 ]2 u# ?- T- h5 d# u2 P+ A
KDD Process and Human Interaction
) T, d9 s6 t8 ^, c; qOLAP and Data Mining
, w+ t- C& K5 M8 t, x' D, DParallel and Distributed Data Mining2 |) `- ]/ ~5 T! ^& x1 [7 x' k
Physical database design and performance evaluation
9 C, b5 g% l& tQuery processing and optimization; k  ?+ F  }: y" d3 |
Reliability and Robustness Issues
( ~5 `: t5 ?! g9 V) i- V# ]Semantic web and ontologies  _! R; E1 ^: l- v, D. ]- X" y, D
Software Warehouse and Software Mining
% `3 Z  k9 \& ]- W! wSocial and mathematical statistics
  e; w, k- {9 v0 B$ w# \8 ]. O: X. l8 FNovel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) $ a) k8 {( B0 C0 Q7 A- O9 J
Developing a unifying theory of data mining
5 Z2 T+ Q( ^! c6 {+ ]Mining sequences and sequential data7 {7 y4 Z- l% Y
Data pre-processing, data reduction, feature selection, and feature transformation
! ]! _. z* r& n2 @! T$ ~0 o) c4 NQuality assessment, interestingness analysis, and post-processing 2 z! Q5 o% p! P3 H9 W0 l  h
Mining unstructured, semi-structured, and structured data
0 s6 O) P0 u! S8 ^( k3 gMining temporal, spatial, spatio-temporal data# {! g: H4 ^2 w% R4 Z
Mining data streams and sensor data
& J% X' `2 J* C8 _* Q, qMining multimedia data
% [0 n+ |# W5 L# p. {Mining social network data
; q: ~3 g! v( |Human-machine interaction and visual data mining 1 T" l6 F( G+ k/ D
Data mining applications(bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
2 r9 A: D% X- mKnowledge Acquisition & Management7 L" D; U- d0 }  |' ~
Knowledge Modelling, |9 f% o  ~: I* J7 [  w/ H+ R
Knowledge Processing% Q, R8 ~+ _4 G( I
Integrated KDD applications and systems " g6 B( ?/ r- E8 i1 s9 G
Business Process Intelligence2 o; ~! p- r6 L+ N9 ^
Cluster Analysis and Knowledge Base system6 H$ @7 u# V7 g, u! F4 q2 {& Z
Information systems technology7 D  Y  ^: W1 ^" P
Other related technology about data mining
& i9 ~# ?" G% o4 t3. Computer Science and Related Technology /计算机科学和相关技术
/ z$ i$ }  P$ r. ~' tImage and singnal processing
* P% X% z& F4 ^2 h7 [Artificial Intelligence
9 ~' a3 ~0 i; p1 Z" Z, D! g$ kSoftware engineering 8 O" r) u: W% J& Z6 s
Systems Engineering
" G/ X7 F, d' kComputer Graphics : k+ F7 T" \' r2 q  i8 I9 N% ?
Computer Application
( O- Q, x0 [( k3 [8 |+ AControl Technology 1 J3 x/ h" {. ?3 m  L# d, ]6 [7 H
Network Technology ! v; f+ D' s( ?
Network security ' N- K# a5 z$ }
Numerical and symbolic computation" r2 G5 `0 s8 M0 \- f5 r
Computer Modeling and Simulation
5 B) T) A! L. [0 f, S( FCommunication Technology
8 O6 [. A( Z* \( i) ?2 @2 cAlgorithms and data structures
; F; |7 @) q4 j8 i) x2 p7 SComputer Education
+ ^- v; Z8 b- k: h- x' f5 e0 tOther Advanced Technology
  l: d2 X: }& Y2 r, U! h======================================2 x7 a1 _# P$ h- f
DBTA2010会议联系秘书处
- r/ W8 R* P# r+ }* L' ~( G% t
: }; r* I) P8 I2 Q6 R邮件: info@icdbta.org, dbta2010@vip.sina.com
4 f0 K' R: `# ~7 F: E电话: +86-151027691704 q" W7 K- e. m% `7 B; b: d0 e
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