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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)
& p8 z  {6 f7 e6 m$ t' p6 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)! {4 i  D9 @) l
11月27-28,2010,武汉,中国
* m3 z/ F/ {& C+ e- a6 A$ b. t; xhttp://www.icdbta.org/7 w1 G7 w3 d, B8 t  L

# \# N. ?2 M6 b8 ^8 n0 W8 R论文提交日期: 2010年8月18日( D" J6 q  b, E( n
论文录用通知日期: 2010年9月 16 日; E* U  U* q; v0 h2 a8 @1 |3 s
论文修订版本提交日期: 2010年9月22日3 E1 t# x+ F- x/ l
论文注册日期: 2010年9月28日
7 B. ~1 G1 o( K$ @论文提交系统: http://www.icdbta.org/dbta2010/submission/# x/ i6 @! S" @4 b5 Q# P
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)+ Z% x1 B1 j- z, `5 J4 @0 O
IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)/ N" C, t- Q8 B7 f

$ e/ c- V9 y6 s: i9 d7 p4 |" n, K9 W! E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。5 g& x$ ^7 ^) ^8 p0 C' h5 i6 b, l$ ^& E
3 P. i" H# r2 ]- M$ O
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:1 d4 I1 C! j  d( u$ ?. D! L

1 s9 w3 U. O  P, g# T1. Database and Related Issue
4 `, z# M) O& L0 y" STemporal Data8 z5 t+ \9 X+ k1 K' ?, g) D$ m
Scientific Databases& ^! t3 _, \' U7 @; `/ O7 X6 C
Business database software
3 M0 d  j' b$ I7 Q& ?Computer data processing + |  @1 l: L6 P: y; K$ U9 A* z
Data processing services
0 X, R' B0 r8 B+ i& gData processing supplies
' `# q" N' |7 I+ v6 \  x7 W) Z( R- lData processing systems5 P/ m! ^# Q- b/ o: I
Metadata Management
3 F9 v- F. U3 W9 _: d; ]' ^Mobile Data and Information
* |4 a# S3 C! }+ K/ Y** Databases
4 l5 @+ v8 H( K, u% yWWW and Databases
: X1 P5 E* f( w, D5 d1 t0 I0 F4 J) B1 ?Workflow Management and Databases
4 z# u2 r1 K) z/ LXML and Databases# R' B3 ^6 g* `% r  L0 H7 [; W0 r
** Databases
+ H7 H3 L2 q7 U! x3 @3 fData modeling and architectures9 Q. L6 z# `: Y$ r: G
Data streaming, data provenance and data quality
8 g( X) O% I3 S/ F6 X2 k  o+ x: cData Security, privacy, and data integrity
+ R* L( C8 W, \Web Data and the Internet
5 M9 M- f. ~. R, r: [XML and databases, web services) Q9 s6 @( n5 A3 m# P! r" B- P
Semi-structured data, metadata
. A4 P2 I7 T: }! B$ U, Q7 W; ge-commence* _: @/ O' ^1 s4 U. K3 m, c
8 O# m7 m- }: @- N: ~
2. Data warehouse and Data mining
  p% u  G6 m) f. Q  v( oGrid/Parallel/distributed data warehousing
+ }3 M: R; K+ |4 c7 H9 qWeb/** data warehouses
( ^  x) N* U: `4 }3 r- W/ PData warehousing and the semantic web: p* ^* T# ?* X! y
Data warehousing with unstructured data
$ O7 S$ Y* X1 @  e6 BIntegration of Data Warehousing2 Z4 w) }* K' s7 V! b. l3 h
Data and knowledge representation0 W# @: \( Y( ]# c1 _7 I! C! y/ ]
Languages and inte**ces for data mining
+ C2 Z( K' s/ QData integration and interoperability: X2 g. F1 A4 Y) K& v  P1 d$ c
Data extraction, cleansing, transforming and loading
1 a4 t9 |: h1 r8 e" h* R4 T3 hData mining and information extraction3 l  H$ X7 t, Q3 W8 x7 p
KDD Process and Human Interaction
* o/ y! ?$ ^' T" w) X4 R8 j/ MOLAP and Data Mining% {2 f% J( q7 l& F
Parallel and Distributed Data Mining# Y; t7 J* _& K, q7 m: I8 b
Physical database design and performance evaluation
/ x' J; l1 K. P! M" G0 }( CQuery processing and optimization0 A* m8 Z; D3 ]* M7 y/ j, Z
Reliability and Robustness Issues
7 h) d. X  }: ~2 \2 ZSemantic web and ontology
  t6 F3 w& K9 k& p: s, YSoftware Warehouse and Software Mining! A2 G" S- h* v$ O
Social and mathematical statistics
4 `7 ?8 f+ ^+ c4 n6 Q, \* ZNovel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) ' q3 t! J- \1 c8 g# @+ t' I0 `
Developing a unifying theory of data mining
0 y: s2 g0 T% Y$ v7 ZMining sequences and sequential data
) C! R, C( y( o4 E5 }0 X+ e2 }Data pre-processing, data reduction, feature selection, and feature transformation 5 H3 X. M: M2 E
Quality assessment, interestingness analysis, and post-processing 8 q0 r! V0 }) b+ ~+ g( s
Mining unstructured, semi-structured, and structured data
" v" i, j2 ~. I" h: I9 B8 h# oMining temporal, spatial, spatio-temporal data6 k  x9 q6 V& C
Mining data streams and sensor data" N: N. ^/ A) ~% r
Mining ** data
- i  [) O% u, `0 W$ M+ C5 q4 j' rMining social network data
$ y! ]; r5 A6 C: m: NHuman-machine interaction and visual data mining
0 W- e' A3 G" ~0 B2 D8 uData mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
5 M  X1 [0 F+ \" oKnowledge Acquisition & Management  \6 U  M+ s1 r
Knowledge Modeling- F' z* K  }, q6 j3 o8 g9 \3 X6 o
Knowledge Processing
5 Q  O, W' \/ VIntegrated KDD applications and systems
6 i0 i8 b5 b" }4 ^; |Business Process Intelligence! V+ Z3 ^- _" {" F+ r( m
Cluster Analysis and Knowledge Base system/ M6 `7 v4 T' `* p+ a% q
Information systems technology& O0 s) L4 G1 I! d  y2 T
Other related technology about data mining. |0 \# [6 R& w& d" j6 q. T$ x5 _2 f
. Q( K/ i% ]: t/ z
3. Computer Science and Related Technology ) K/ k& p, d! @9 O# a: q
Image and signal processing
2 L8 f, x* {& k% U* _Artificial Intelligence 0 H, x0 o$ J4 e; Q4 K
Software engineering * S/ C, \1 h9 w; e' i, z  _
Systems Engineering ' w' {. c9 e9 @! R
Computer Graphics , {& _1 A8 ^; ]/ l& _
Computer Application ) _$ W' \4 y, G( f3 b! n  \
Control Technology / G( n; ?9 x* q" `) o) J
Network Technology
1 H) ]! z+ X) [7 n$ k* NNetwork security 1 N2 }- N" u( N, k' h
Numerical and symbolic computation
: Z8 |3 K2 u4 \! }  aComputer Modeling and Simulation
0 @  w- h0 q) X# h1 CCommunication Technology
5 M7 C9 |& h) g. kAlgorithms and data structures
6 `' v$ {$ X; |! `1 M6 k2 MComputer Education
. W" r) U) Z# C  HOther Advanced Technology
0 i0 ~' g& ^& Q* {8 D" W
' G9 V! q$ f6 h+ ]6 y0 d======================================4 W9 Y! Z# z" G8 l/ V
DBTA2010会议联系秘书处
2 R' i0 ], H' d% m' G0 h- R
3 @+ D% x( O1 }* I" q$ P邮件: dbta2010@vip.sina.com, info@icdbta.org/ c9 K8 Q& E0 l6 _, ?$ q1 Z. G
电话: +86-15102769170+ C& n7 z. c" b- \2 P5 u
======================================
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