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The 2nd International Workshop on Database Technology and Applications (DBTA2010)
8 K3 g. s# [- j# {0 o# L" 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)% ?1 o% o# O4 e4 j. \- A l% H
11月27-28,2010,武汉,中国
! Y4 ^: ~ b! Y5 Lhttp://www.icdbta.org/
% T d& e% e: P
) I8 m5 [- U9 P论文提交日期: 2010年8月18日
* p) V( g# J+ o* ^1 P: n论文录用通知日期: 2010年9月 16 日
3 I, D9 ?5 \" h* z6 F% G# g论文修订版本提交日期: 2010年9月22日 a# Z% g7 K; o4 f, H7 Y8 @ }: y
论文注册日期: 2010年9月28日
' F) q1 C6 L g Y z论文提交系统: http://www.icdbta.org/dbta2010/submission/* F; ^$ H, z! L- F" y
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)
' b, o/ ]& ?' m. P( E6 h! l$ d3 VIEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)" H J" O# G. x. J8 D" l ~
8 A q. Z; {1 X0 d: x; C/ R
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。
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0 ? \. Y- t- Y: f2 S/ [* R% `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:
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1. Database and Related Issue 8 [9 D1 B7 F% n$ A6 p/ _7 p
Temporal Data! E6 h3 G) N4 Q8 A4 M5 q
Scientific Databases& a2 H/ J# Z7 g6 D, z9 n
Business database software
0 P, a+ A6 \: d1 YComputer data processing 7 q) m5 d Y z+ ~8 P9 G3 i4 o
Data processing services
1 @, k. n/ j# i6 ]0 RData processing supplies
4 D9 `& S$ @. o7 q# r9 KData processing systems% |9 x* D% S# L# ?% ]6 e
Metadata Management
: J3 c" \& B' x' F0 q: C' ^) fMobile Data and Information( ?. l& {; W2 ^7 f; }
** Databases) i! Y: m" V2 h7 L
WWW and Databases
; a) q7 d; H2 c' U% y" B7 fWorkflow Management and Databases8 E7 e2 R% D& D( _' _* N3 m
XML and Databases0 u) R Q, G' L* {
** Databases8 `) e; L! u$ q! \$ A
Data modeling and architectures% z" ]) t; `$ x% Y9 X1 i9 S
Data streaming, data provenance and data quality2 m$ ?& x+ [% A/ X- d: Y
Data Security, privacy, and data integrity
! v- V8 Q: N4 \2 z. w! [ ?Web Data and the Internet% _" e) r/ M. M" F F! L1 _8 {
XML and databases, web services* n0 c' M" W1 d6 Y
Semi-structured data, metadata- Y P9 o+ R9 L1 G" }5 S9 w
e-commence. }8 {) |# n8 }/ s2 `
. V9 _% j" }$ }
2. Data warehouse and Data mining
# B* [9 I, N+ v3 gGrid/Parallel/distributed data warehousing
" Z- E- |/ @3 V. @% X- w# nWeb/** data warehouses
5 x/ y+ t/ T1 j" q! }0 y% d8 x( P" y$ mData warehousing and the semantic web- `' F6 D# M5 a- s0 G% g
Data warehousing with unstructured data
6 h+ b) Z* w4 S" ^ G* VIntegration of Data Warehousing
0 A" e0 J! \8 N+ n$ Q3 p+ h/ NData and knowledge representation" p/ s! p/ B$ @
Languages and inte**ces for data mining
! ]$ L h8 j, H! i+ O+ ~5 B0 wData integration and interoperability
/ f! L M/ k) i WData extraction, cleansing, transforming and loading" p$ i: {* D) L' ?
Data mining and information extraction
1 F' r) J! ~3 P) a9 K5 r* |KDD Process and Human Interaction
6 e$ L- w) Z$ u( lOLAP and Data Mining0 S6 Q" k+ k1 E- h0 [) c2 ]0 M2 e
Parallel and Distributed Data Mining
" A+ w7 L6 a( R; h2 F+ HPhysical database design and performance evaluation' q8 h+ B f% ]3 [. t' ?$ W
Query processing and optimization2 n, U2 @5 S# O" K1 `# @
Reliability and Robustness Issues8 R& v, y/ a3 T1 v
Semantic web and ontology
( u2 Y5 |1 K, m7 k1 q8 _" HSoftware Warehouse and Software Mining
* K4 v9 ^: F# q- V6 l1 hSocial and mathematical statistics
9 O3 g+ \8 C4 t0 N: mNovel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) ( J2 U- x: O1 d7 b# J
Developing a unifying theory of data mining
" M$ A, s( o9 U0 J6 WMining sequences and sequential data5 z$ Q& e/ z' u: H J% R. J8 w
Data pre-processing, data reduction, feature selection, and feature transformation 8 z% q! \" w: j8 B' v; X/ S2 S; I
Quality assessment, interestingness analysis, and post-processing
8 h- L1 R+ r5 G# qMining unstructured, semi-structured, and structured data O, S* F* S3 N8 k* @7 n
Mining temporal, spatial, spatio-temporal data4 \/ ?6 a' Z# A a0 e
Mining data streams and sensor data
( H( X; ]$ H* z9 X3 JMining ** data+ T. J7 `) L+ d2 }
Mining social network data
, c) \6 _: H' F. @0 b" s* O% V3 cHuman-machine interaction and visual data mining $ ]9 f, _4 p, {" y3 q
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc). R) C9 L6 }- L, g F0 x8 B
Knowledge Acquisition & Management
: L6 a* o0 ?9 w& C( U' XKnowledge Modeling
1 J+ f: b9 v5 P, V4 X# yKnowledge Processing# I4 }7 [; U, \( C o
Integrated KDD applications and systems
4 G/ P" q! i2 {: A3 Y1 EBusiness Process Intelligence. R/ K1 r# ~" J4 _# t* |
Cluster Analysis and Knowledge Base system
# \* v# p' d/ A6 NInformation systems technology, C( ?) d0 P7 w$ G% K1 P
Other related technology about data mining$ B9 J2 H0 j. l$ B" ]" p; R2 o0 [' x
' k9 k E$ |2 @! ?
3. Computer Science and Related Technology
6 x$ f& ]) T" w* JImage and signal processing
* V$ V4 M$ w, y$ ~& i4 DArtificial Intelligence ' U: v3 R7 |9 T
Software engineering
' s& w0 m) c6 s* i6 L4 ~, f1 A. O0 o3 fSystems Engineering / T) Q- i' t. `% Z9 l! v3 t
Computer Graphics
$ S* D8 R: R `! K1 @* FComputer Application
9 D; ?# S* V [Control Technology
. w# r( I! k+ n$ ZNetwork Technology / S( y! y0 U9 I2 `) Y) n$ u& @7 a; d
Network security : _/ [$ N, T* _! _" H! T
Numerical and symbolic computation8 o" o k8 Y1 X; X% }# M
Computer Modeling and Simulation. M) |8 i* w" N' U
Communication Technology + ^; m& Q- G/ S# ^
Algorithms and data structures
$ Z) t9 g% B% I% h6 z- R6 aComputer Education, Y; o, T. f* j% L/ |! w( x
Other Advanced Technology" M$ ^$ N6 i: ^, p
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8 K7 m! _8 ~6 u' Z& kDBTA2010会议联系秘书处
2 Z8 n" h; F- h. J* x
2 a V' N$ m$ C, Y邮件: dbta2010@vip.sina.com, info@icdbta.org
) [+ E' b J$ D: ~, S; M电话: +86-15102769170& \9 A' D9 `5 a8 `7 f8 H! Z
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