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The 2nd International Workshop on Database Technology and Applications (DBTA2010)( @& |- [3 H9 s" j) m
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)
) e7 t8 _3 K( t. S7 m5 X9 B+ J* D11月27-28,2010,武汉,中国
$ P7 G! E% v" u! {7 ~2 k" bhttp://www.icdbta.org/6 _7 _- j; N& J z$ B
' Q$ a F3 g- v$ s4 F8 T论文提交日期: 2010年8月18日
1 M& ~# }9 a9 c论文录用通知日期: 2010年9月 16 日
: w" J. D5 e$ j, v" Q% w论文修订版本提交日期: 2010年9月22日
& W% g; F* U- R论文注册日期: 2010年9月28日2 H7 b1 B1 A/ f+ v" @6 _
论文提交系统: http://www.icdbta.org/dbta2010/submission/. [; f! C$ Q0 O; R- ~3 B0 G
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)* [# T1 N9 |; F$ v3 t) F) E
IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)/ J6 K& T! a n9 U0 W9 C- j2 |3 v
% g# [3 N( O, k9 v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。
& d5 o2 M! ^3 ?# N' N6 j
. e& E& j1 Z* _7 A. P( x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:( b! S5 Y% q, \9 `6 Z: G2 ? ^& P. l
# {( Z [' H% A g' n" l( a1. Database and Related Issue
& n5 y8 K8 s- BTemporal Data
! X$ n5 F0 j7 O3 u/ ]* S: ^* s% QScientific Databases
0 o! [, G( o4 I. F1 w) I/ U( H3 eBusiness database software
0 f, x, u" W, Y8 mComputer data processing
R# y4 L, P1 Z6 F! hData processing services
- A: _$ ~ @: tData processing supplies & ]9 f1 B+ ]% G! t
Data processing systems3 a% O1 s* s# x( d8 h0 W( [2 e
Metadata Management8 Q- e9 d, K& w$ ~
Mobile Data and Information
7 q' Y7 J' ?4 `0 f; h, [** Databases8 l# o) f9 ^: L
WWW and Databases z5 B8 w( ^% {: V4 ]" K3 I& B: |. z
Workflow Management and Databases
; `+ ?5 y7 I; c6 G/ D2 K* QXML and Databases
2 h- _! z! z; W4 R% K- U/ ~** Databases2 u( ^: }5 K" H$ t0 w
Data modeling and architectures
2 S# U2 s+ @6 @- K! AData streaming, data provenance and data quality3 {5 Q9 } q4 _( f+ }
Data Security, privacy, and data integrity % Q u6 p9 Z f! W, N5 D# _' j3 X
Web Data and the Internet( b% v. N+ T2 Z, I7 s3 @
XML and databases, web services
) e7 w. R, d% K g- N) ]+ X/ ]Semi-structured data, metadata' O K1 G" ~' A- D& g& s
e-commence
8 Z3 D' ~$ k- d4 m
K/ K m6 w/ r, x, w# U2. Data warehouse and Data mining
8 |' \$ N# z% `2 ]# ~Grid/Parallel/distributed data warehousing
+ B# n& g% e; g" D9 K/ u7 bWeb/** data warehouses
4 V& p( B( X; v8 rData warehousing and the semantic web1 r7 @5 B" _8 i' K
Data warehousing with unstructured data
. z! l( X, x* f6 s, ^9 n! t- z' y! M; U$ MIntegration of Data Warehousing
/ n e4 _4 R" H9 u) OData and knowledge representation; |4 a" a9 K, J9 C+ m2 }$ n
Languages and inte**ces for data mining+ d. f. h% z& {5 p3 Q* a
Data integration and interoperability) z0 B! j$ b3 R: e4 X, w c; a* f
Data extraction, cleansing, transforming and loading9 `$ V9 s$ E/ L2 X# V- f
Data mining and information extraction" f$ d) n9 n" }+ o+ _
KDD Process and Human Interaction
" B' K* C5 d# d' p) IOLAP and Data Mining
# M! U/ m @$ N# C$ G2 HParallel and Distributed Data Mining3 p7 T: n2 ?) r8 A3 B
Physical database design and performance evaluation1 J) [% n2 c6 {: e' _! [
Query processing and optimization( K9 }' j7 ~0 c3 {' R; ^
Reliability and Robustness Issues0 Q3 Y$ S8 M( O" B" l! i y+ g
Semantic web and ontology) i3 \- X- e9 {. U" D
Software Warehouse and Software Mining
! z7 \" J3 X# h, E4 M+ m0 T) ?Social and mathematical statistics9 N% F# ^) Z$ i. Z0 _
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) , n; `6 J0 o3 e }/ ]
Developing a unifying theory of data mining
0 T2 X" m; O3 TMining sequences and sequential data
, k; c/ K2 V8 ]/ j) O- q2 kData pre-processing, data reduction, feature selection, and feature transformation ! V7 C) f' ~4 o% P" q* r8 a
Quality assessment, interestingness analysis, and post-processing & q2 l: c3 g9 s1 ?
Mining unstructured, semi-structured, and structured data
5 u2 a; B n% \/ L, \/ P6 }Mining temporal, spatial, spatio-temporal data7 q- g* s5 W1 v0 o
Mining data streams and sensor data$ i3 {' W- W7 }5 S g
Mining ** data
; @, K, k& C1 `* J1 N( _Mining social network data5 ^' L- h* i6 y$ T& L. x
Human-machine interaction and visual data mining & j- s' f- I+ ~9 ]9 D' F, r
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
4 G2 k$ U- }/ j: F) GKnowledge Acquisition & Management- c4 ?: N! Y- P0 x$ I1 ^' r
Knowledge Modeling. X/ w& U8 y4 e0 r. s" S# W: r1 C% E
Knowledge Processing
) w. }5 I o7 f/ e% f: AIntegrated KDD applications and systems
/ a! g+ H, c" \* s7 T/ e) e/ {Business Process Intelligence3 Z- r9 _ q) U- d; d8 D* L+ r
Cluster Analysis and Knowledge Base system; X; v4 O+ V5 c' }. _4 c) \, o
Information systems technology' ^$ ]7 `* C2 K6 M7 }
Other related technology about data mining4 f+ B8 Z5 x" ~# S, [
( ?3 |& B8 l4 ~
3. Computer Science and Related Technology
$ I$ g+ A5 h1 @/ ~4 i& m3 J7 A7 LImage and signal processing 8 E0 a5 T7 v$ o/ N# |3 X( T1 j( {
Artificial Intelligence $ r1 I/ i0 ^; l+ p4 Y
Software engineering " J1 C K, L1 @0 {. K0 F2 D& m
Systems Engineering # X9 f: [1 Z- t1 N+ c8 s9 K
Computer Graphics
, U% |' E4 ^5 F" w9 x$ u4 EComputer Application * E. d" @7 b& W) E7 n4 k# ~
Control Technology
2 M3 `9 ~- Z5 A: kNetwork Technology 5 D9 G9 Z. {+ K: r6 {& u3 M! i" D
Network security
) Q) P' e" c, C7 G: x& BNumerical and symbolic computation! \8 s* ~5 F4 {# ^$ m
Computer Modeling and Simulation* `# p8 k) Q( Y1 Z
Communication Technology 3 E Z3 }& ~$ k! v
Algorithms and data structures+ e6 i3 R, u/ A6 D r# H8 C7 m
Computer Education, t7 b e! H% L# O" J- _( n6 |
Other Advanced Technology
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DBTA2010会议联系秘书处2 ?& F* V! E$ t; l8 W- e
% S4 m2 N+ Y+ |& z8 E; I5 a# Q0 O6 |邮件: dbta2010@vip.sina.com, info@icdbta.org7 z1 i% e# b$ \, T& x9 l, J/ z8 _% ?
电话: +86-15102769170( o: y+ S2 I& w
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