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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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The 2nd International Workshop on Database Technology and Applications (DBTA2010)$ p: E1 ?# E# y. X- k% Y' M, D
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)
/ a# S0 j. C5 h' g! t11月27-28,2010,武汉,中国
& f9 f/ X. R' g$ C1 Ohttp://www.icdbta.org/
( \/ B: `' F2 e
0 c! \6 w* g4 r. a' W% T, n论文提交日期: 2010年8月18日
; A8 z* G) _& N论文录用通知日期: 2010年9月 16 日/ m( B, P, D' F! ^! V
论文修订版本提交日期: 2010年9月22日+ `3 a  B; O1 {* g; P: ^& h
论文注册日期: 2010年9月28日
: r; t! ^1 x9 \% |; l- _& Y8 W% ^  ]论文提交系统: http://www.icdbta.org/dbta2010/submission/
0 Y- C- a4 o) ~会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)" m5 m( p7 R8 m( s" J
IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)
1 Z4 D7 R/ }% \( Z8 g- |
% e$ ]9 y; V+ V; 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。
! D; R5 N* ~% {7 Z! c' E- h. o% n
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:: j& S. r2 `0 s! C- \  k
1 G4 b! m! w: M: j
1. Database and Related Issue
- M3 `6 u  E5 z$ e- I, wTemporal Data
& R- Z5 r  r9 eScientific Databases+ S% v' G, S( J+ d! x
Business database software7 |9 h- T7 l+ G  H; g9 ]
Computer data processing 3 [' ]$ y: \2 v! y$ J- j6 D
Data processing services 9 {+ T: G3 G" o8 \2 @/ ~
Data processing supplies
2 U' ]8 v* D/ y$ ]" oData processing systems
) i6 i! ?! ~  w1 U0 oMetadata Management
% s$ [2 v6 q( c  ?9 Z; D0 cMobile Data and Information
, Q% `  R3 F" m# T** Databases
- Y% K/ D- l2 x( E4 a" FWWW and Databases% T4 h' L5 q' L( R
Workflow Management and Databases
2 Q4 P& B" d4 a; F0 EXML and Databases
6 q( A; \$ A2 E2 o' t2 Y  x0 M** Databases
5 k  }: h4 H. ?% M! s3 G9 C/ [Data modeling and architectures8 h4 ?; f# i2 V; u6 m. z
Data streaming, data provenance and data quality
* o; u6 _9 v0 m. OData Security, privacy, and data integrity 3 ]6 G; o! B/ |6 b! o* q# M
Web Data and the Internet
2 w/ `: l7 \5 y! O8 S6 e* Y! O: `XML and databases, web services
" N1 [" ]) M* [Semi-structured data, metadata
, h! [6 l' o* p8 W. v3 t* P! `" }e-commence
$ n: x* t) z8 s5 W  v: y- E
. a' d, X0 r8 T  {) w; H2. Data warehouse and Data mining0 S2 l2 o3 ]+ h& |* W8 K; Y; |
Grid/Parallel/distributed data warehousing% k# l# g1 a. \8 M" ?4 c! Q7 w; B: W
Web/** data warehouses4 c$ a' z: A% y: t
Data warehousing and the semantic web% [  R. K& F% t/ e% U
Data warehousing with unstructured data+ K8 I& h; ]8 S3 ^- ~4 D
Integration of Data Warehousing* J; ?! j9 F6 a2 [. q
Data and knowledge representation
% c0 |: @, b* aLanguages and inte**ces for data mining% `0 O& p5 D* ^9 F! C
Data integration and interoperability
7 \7 Q3 Y  Y, B+ N1 ^0 AData extraction, cleansing, transforming and loading
+ c* s) P1 P" SData mining and information extraction" }- R1 R$ x9 H4 j; `0 v- T
KDD Process and Human Interaction+ `/ r: P5 g( D  p3 `, _
OLAP and Data Mining
: t9 m8 }5 L7 cParallel and Distributed Data Mining3 i1 f+ ?' l3 _# M+ L; C
Physical database design and performance evaluation
7 s/ R9 Q! l- t; P6 K7 s5 E$ HQuery processing and optimization2 T/ a3 L0 ^2 i3 z4 @$ j" {, i
Reliability and Robustness Issues# Y" E- n1 `* e' S' b7 I- J# B
Semantic web and ontology
" Q; G$ E! ~5 f0 sSoftware Warehouse and Software Mining; o. c9 G( N2 }3 J' w  z0 Z
Social and mathematical statistics
  O, z& ?( I! q; p- m- E8 NNovel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) 5 {& V, R) A" w& W/ N+ P
Developing a unifying theory of data mining 2 X! Z6 `% i. f$ G) h2 x
Mining sequences and sequential data
, }: L+ ~' o2 l9 K1 d) gData pre-processing, data reduction, feature selection, and feature transformation ' ?( ]6 [3 W$ o
Quality assessment, interestingness analysis, and post-processing
3 `# w% U: j) b) U2 a% KMining unstructured, semi-structured, and structured data
7 V6 J+ N/ o0 l: Z! ?& g  iMining temporal, spatial, spatio-temporal data
: S2 u8 S2 v- w* ?6 H; vMining data streams and sensor data
) B& X; D0 v- SMining ** data$ ^3 ^; ~* v6 A  p& P: M3 f
Mining social network data
( s6 Y4 ?7 t, u0 F" x4 fHuman-machine interaction and visual data mining
- \/ q& z9 S# ~6 t- MData mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc), W# V1 A. P( W0 ?' n1 \9 S6 A
Knowledge Acquisition & Management
4 C: l% C/ `& _# r/ N+ FKnowledge Modeling
$ u1 y( w! ~0 H9 iKnowledge Processing9 P: [, w. N9 {7 C; B
Integrated KDD applications and systems 1 s( y4 @7 d, V2 i
Business Process Intelligence3 \$ N9 a8 X2 f( G& c4 n" d, v
Cluster Analysis and Knowledge Base system
/ Y" a2 T; A7 x3 T6 c) WInformation systems technology0 p4 R; s3 \7 T; ^+ d/ x" t6 r
Other related technology about data mining, A' j! y- ^; w! |( x8 `/ r
! m) R& }; N+ R1 {6 |
3. Computer Science and Related Technology ; M) D/ s2 L1 ], |5 T. n. Q
Image and signal processing 5 t9 U6 |5 \3 u( R8 ^
Artificial Intelligence , d/ q; A3 s. v. A5 E, r+ Y8 N
Software engineering ! N% ?* E0 R! B9 _
Systems Engineering
. P0 B4 n+ W' V0 n" gComputer Graphics ) ]3 e- B8 _+ v' R! X
Computer Application
7 k3 z, [9 V/ X: q# E" LControl Technology - r+ u- n: I7 U0 r/ `
Network Technology . a* S4 Z( e1 U. I4 ]4 V1 H
Network security $ m  H! F" R6 m/ d2 g. O( D
Numerical and symbolic computation
" Z6 l0 U# U' w+ R" L" b: ZComputer Modeling and Simulation8 n: X; r9 G  u- M
Communication Technology 8 K' _6 g4 U3 P
Algorithms and data structures
" s: a6 Y9 ^( _7 W# dComputer Education0 ~, s) j, P7 r( s0 @. k3 D5 e& i
Other Advanced Technology
2 E1 W9 i$ E8 j  V  T: T) l8 z3 g" x# @3 M+ p5 g
======================================
! E  E: D4 W- P! n: `DBTA2010会议联系秘书处7 q6 V/ |4 g9 J! a

2 l, I: x; B( R& b  K邮件: dbta2010@vip.sina.com, info@icdbta.org
1 \9 e3 `- y  {电话: +86-15102769170
! z6 s6 I: M) p4 z( Z======================================
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