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[英文期刊] 第二届IEEE数据库技术与应用国际会议-DBTA2010

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发表于 2010-5-12 16:42 |只看该作者 |正序浏览
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The 2nd International Workshop on Database Technology and Applications (DBTA2010)
# d/ r7 U: r& C. V) |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)
3 o. y" D; r( c; H& L2 `11月27-28,2010,武汉,中国
( D1 }) I9 K0 y' O$ x! I9 Whttp://www.icdbta.org/
) @4 H6 \7 b8 R* H
% X, V& G2 j$ U* r. \论文提交日期: 2010年8月18日/ c5 m- z4 @5 r1 x3 P
论文录用通知日期: 2010年9月 16 日& T4 x2 D' x& {8 V; T* {
论文修订版本提交日期: 2010年9月22日$ B5 k0 q0 P+ c
论文注册日期: 2010年9月28日
5 W7 w8 E5 H7 R3 C/ v, H论文提交系统: http://www.icdbta.org/dbta2010/submission/
1 s. S, z" b( a; V* \& j' q; L会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)& L* ]' J; x* [$ i
IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)
4 p" E) |7 X1 E7 E' N" W! {+ s) {  W9 \! g7 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。
/ Y! m1 r, `- v
! u, B1 b  d4 x7 V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:$ e2 A* ]9 Q+ L9 g* u
( W; M# \6 L& t# E- D: d$ {; K
1. Database and Related Issue
, P5 Q( z/ [- p% J# A9 N6 W0 v  u) ITemporal Data
2 E5 j. b* Y5 a+ eScientific Databases. e% F, l9 M: ~2 N& u
Business database software/ s0 u( f% d$ E
Computer data processing & t" m" j# {) J' h5 |1 h" W6 G  e7 ]
Data processing services : U- u0 S/ H5 g- r1 e
Data processing supplies
& d8 W" X' l. `" q- vData processing systems% u5 I9 q4 ^+ Q; e; f
Metadata Management
) f: U1 e/ k* e, ^  ?- J; lMobile Data and Information
2 e& e) W+ S% _' V4 {1 d* C** Databases* U. G5 s* T$ |- b3 r( i6 V. l
WWW and Databases2 R4 b( h6 D: |8 ^
Workflow Management and Databases# ]( z4 [0 j2 V& C, s- B: h
XML and Databases
9 t: K' m, a8 t, B** Databases( Q5 z: m8 d' ?
Data modeling and architectures
1 z$ F7 @! I8 r9 k( r" b. `" g0 @Data streaming, data provenance and data quality- L& U2 ~4 J0 A5 `  O6 f) {
Data Security, privacy, and data integrity ( ^3 l" c/ A+ W. @
Web Data and the Internet$ b, \# _/ I& o. X$ F' @
XML and databases, web services& f2 t+ Z+ u# {( Y; k# W
Semi-structured data, metadata4 i4 H' v: ^+ Y, T: Q' _" V3 f! P5 D
e-commence& j* @* L3 K% w$ [7 M1 [
! B4 i7 J0 V% r& H) M
2. Data warehouse and Data mining1 u7 W% W+ C6 @7 ^: F9 p! t
Grid/Parallel/distributed data warehousing
# t2 Q0 R. m% J, }  n, }Web/** data warehouses
6 j3 q5 E$ n0 G- EData warehousing and the semantic web
5 r9 t% @1 B3 E6 [. ZData warehousing with unstructured data9 `$ P. v& [# U0 {- I" P
Integration of Data Warehousing
/ I3 L) e* T6 J6 @2 N) A# FData and knowledge representation
* ^! C- e6 A. `" ILanguages and inte**ces for data mining; F/ l: ^$ g4 ?) R; k  q
Data integration and interoperability$ u4 T( x4 b: V$ @7 m) |/ c  c' I
Data extraction, cleansing, transforming and loading
* q/ y  m, f, n5 P: _3 ZData mining and information extraction2 {0 ?& e" f  t6 ^' a# q
KDD Process and Human Interaction2 g4 E0 W  S* h
OLAP and Data Mining* U/ k4 g. f$ P
Parallel and Distributed Data Mining
# R2 c: E5 i8 U! BPhysical database design and performance evaluation* q- @: K5 i; ^) x6 P* ~
Query processing and optimization
/ z% d7 H/ X5 E; f7 HReliability and Robustness Issues8 d/ n4 G* H4 M: C; ?  u
Semantic web and ontology
& K# |/ K1 {6 s8 xSoftware Warehouse and Software Mining
( m3 _2 b6 B# [$ \) CSocial and mathematical statistics' |& O# `1 e  @/ |$ d1 a3 u
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
7 d' [0 ?4 \' p1 ^% B( oDeveloping a unifying theory of data mining * j- K: k& U* c* c0 j# Z$ u
Mining sequences and sequential data1 e5 b- `( C1 W" c
Data pre-processing, data reduction, feature selection, and feature transformation
! Z0 C) a6 l) W4 g; g- ]Quality assessment, interestingness analysis, and post-processing 6 q) y' M  K; T. B8 L
Mining unstructured, semi-structured, and structured data: o2 M, c$ o- C7 }3 ?' v. g3 L
Mining temporal, spatial, spatio-temporal data
& X2 Z; t7 `6 X+ G; h2 t) \Mining data streams and sensor data8 D' j/ F. a7 k$ r5 c6 v
Mining ** data
1 x6 d) }6 N' vMining social network data
9 R2 y, O. z5 pHuman-machine interaction and visual data mining
. i6 W! h1 V- x. v( T4 HData mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)2 g5 X- l$ s3 M4 y, m) R
Knowledge Acquisition & Management/ r0 H, m% X% J0 A2 f
Knowledge Modeling7 R! @$ _/ N% j! c) K) p
Knowledge Processing
! @* M  }  S; m. j5 m4 |- KIntegrated KDD applications and systems
: c" ^; _  _3 t  H) c( ]Business Process Intelligence2 T9 ]: N* `# M/ l. w
Cluster Analysis and Knowledge Base system0 I! \4 h- `8 s% f
Information systems technology3 A- B  l0 r1 G+ @
Other related technology about data mining
' {" I5 z0 ?, ~$ ?  T5 a: S: a8 J1 {, A( Y2 j6 k( s
3. Computer Science and Related Technology
  _1 y/ u( l7 WImage and signal processing 7 s+ q: k1 B; q9 K+ l. W3 n$ [
Artificial Intelligence
- }; ^2 E  }: e2 \1 m3 G! ]Software engineering
0 g" O3 J- j( ]( Z) zSystems Engineering # S9 R' g3 E+ ~# U
Computer Graphics ) }( _* j+ H" D! \. g
Computer Application
$ y) D3 }+ c# H7 ^$ Y$ nControl Technology
2 U/ T  E" [# c8 a6 u* N, }. j% Y6 oNetwork Technology ! m- g( N/ u3 j  i) w" f
Network security
( J4 M5 @1 t' r5 h0 E7 v$ ~! }Numerical and symbolic computation/ g" y% g* S, H: W+ O4 r
Computer Modeling and Simulation' t- O5 e8 E$ c% [* w. S& s5 |
Communication Technology
) r+ i) Y$ G4 Q- jAlgorithms and data structures
' Q7 m" }" m2 }, KComputer Education4 J( y4 ~3 b1 u. ?9 ?# n
Other Advanced Technology
! g. c  i) z/ y; v* g" m6 `( T; F5 F- ^$ V- I
======================================
- P. f; J3 h& W! I: u/ \DBTA2010会议联系秘书处
2 P9 h5 ]' t' A( r7 e1 u  ?7 K; s' d5 T2 \- s' d
邮件: dbta2010@vip.sina.com, info@icdbta.org+ v8 x8 \+ m$ O$ ~
电话: +86-151027691701 K. e4 `" w" B
======================================
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