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The 2nd International Workshop on Database Technology and Applications (DBTA2010)
2 L+ _: {; q, B B$ A: _ 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)/ r; g$ h4 O# @" `* E# H
11月27-28,2010,武汉,中国 & ^# r; U& g# ~: S C7 y0 l) P
http://www.icdbta.org/ 6 g, w K3 r! Z, w
8 M# g7 ~6 E% T; F& `: ` 论文提交日期: 2010年8月18日
) i/ z& s+ X0 i1 I7 p6 I 论文录用通知日期: 2010年9月 16 日
, x4 b/ ?5 x3 z9 U' {" | 论文修订版本提交日期: 2010年9月22日7 y, }8 o/ v9 G4 W% E y
论文注册日期: 2010年9月28日
7 ^; k0 {; C4 | F" V 论文提交系统: http://www.icdbta.org/dbta2010/submission/ 7 @8 i( m# D% l
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc (只接受英文稿件)6 u+ T* V; g4 C
IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)- ~/ f' I3 k3 h6 Z+ p
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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。% P$ Q: o; H! V3 W, R
7 a; i# y% V) D% g9 E2 ~ 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 4 o4 P7 ^! m; j3 P7 V3 I
Temporal Data
1 Y2 E7 g. q. t) G" F4 ~ Scientific Databases
7 a& A" k+ o% F) l Business database software
1 e- y2 T, t/ {$ W1 Q Computer data processing / W/ M0 q( K% t
Data processing services
$ v# \" \+ P- a" Z) S. j; M Data processing supplies g* _5 ?* t7 F) ], `
Data processing systems
% W& ?5 T4 g4 M Metadata Management6 [0 Y; L' n8 C
Mobile Data and Information
5 ^: ~& K, F5 c' [* ? ** Databases$ {: F$ K8 N% X. r" K. n' f
WWW and Databases0 B. i# G( s$ V
Workflow Management and Databases
+ p; M* r$ ^2 h6 k& H; R. ?1 t% y XML and Databases y5 t3 l0 Y/ J5 G! D; h, ~
** Databases
# X4 U' c0 C3 Q a2 e/ b6 D Data modeling and architectures
6 b, y2 n; m$ R Data streaming, data provenance and data quality& @2 T* d- Z) ^; I+ v4 P5 y
Data Security, privacy, and data integrity 8 x, X" a& y' j6 ~! B( X1 {
Web Data and the Internet+ x$ F/ }3 k( m2 B0 o
XML and databases, web services
* j6 w( E( ^" B' @: z1 h# ? Semi-structured data, metadata
1 D/ W) l' N; h5 {: P4 m7 c. W e-commence. t% r3 {; i" j
$ K$ ~- X3 U7 m [0 h: Z+ N 2. Data warehouse and Data mining
8 r C( Y# z- w1 | Grid/Parallel/distributed data warehousing
* Q0 }6 m4 h3 R Web/** data warehouses
* H" c$ O" W6 d, T% z Data warehousing and the semantic web
, w2 y: ]/ D2 g% R Data warehousing with unstructured data
% {! l& X3 {; Z8 A: R Integration of Data Warehousing
7 T, ~+ ]1 v; |2 f: i* U- ^ Data and knowledge representation p$ R4 }8 Y% k5 S4 s# |
Languages and inte**ces for data mining
# ` m- h( h5 \) i0 F- h8 C Data integration and interoperability% u6 v/ G3 v' U7 g, M. D
Data extraction, cleansing, transforming and loading
. M# k; K: h" ~: z" J2 u! ]* v Data mining and information extraction
9 o l% z! ^* B) ^ KDD Process and Human Interaction0 E# Y- u' z8 K Y* ]
OLAP and Data Mining
+ h O* [1 ~9 J+ L% P4 d3 Q: s" ?( w Parallel and Distributed Data Mining' |* H" w1 s5 ?( d' I
Physical database design and performance evaluation
% L" [- J, j) w2 q$ w( z6 x Query processing and optimization
% c) i; [* W5 w) o Reliability and Robustness Issues# ~+ t1 k6 z/ K1 T# C& U+ j
Semantic web and ontology+ I, [" {' L) i. D7 i5 ]# e
Software Warehouse and Software Mining
% j% P8 S9 b- J+ T Social and mathematical statistics/ V8 P% P2 t, D
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) ! e0 J. y& d- o6 T( Z7 g
Developing a unifying theory of data mining 7 I. u7 t, {+ U
Mining sequences and sequential data* ^2 d- Z& F+ ` K* C6 O3 z& o
Data pre-processing, data reduction, feature selection, and feature transformation
2 F7 v& i' w. l Quality assessment, interestingness analysis, and post-processing $ @5 X6 o. i7 _* R# y
Mining unstructured, semi-structured, and structured data
& ^- E2 I' M7 R8 G5 w Mining temporal, spatial, spatio-temporal data
% V2 G6 P& y( V9 r Mining data streams and sensor data
9 U6 @; s% J+ v5 Z3 W Mining ** data
2 O' ^& u4 e2 d7 I% i Mining social network data" i: z) R) K* n& U+ ?
Human-machine interaction and visual data mining
0 @, o" r( w' k4 @" Q# ]" { Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)) V3 q1 R8 C, T2 q% Y3 d6 J
Knowledge Acquisition & Management, w& ^1 q3 }: i' C. n9 ]! V
Knowledge Modeling( O# q3 Q3 ^7 E) |! R, k( h
Knowledge Processing
: h3 I4 y) k5 t8 ? Integrated KDD applications and systems ) J& n3 g& D7 c7 T, F
Business Process Intelligence K! S8 z& j- t: n* W
Cluster Analysis and Knowledge Base system
& y, k: T! c4 I. T$ q3 a( Y8 e Information systems technology
5 X! h* T& U: w) E! w+ L b. J Other related technology about data mining
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3. Computer Science and Related Technology - t4 q* F. O: v' w
Image and signal processing
* J/ A8 I1 A& K( c0 T% ?& {' ^ Artificial Intelligence
* [+ \, R, {( M: F( M Software engineering
& F3 C9 ^4 l$ K) y [ {" E$ j Systems Engineering
! Z0 A, m. ?! H/ v Computer Graphics : |# L/ x$ e4 P: ~" A) h% B& M- t
Computer Application
& U, ?. l0 s0 V3 N6 H) x Control Technology & u# G/ [8 E- Q
Network Technology % ?9 N/ X" A* `5 s: G% q
Network security . T/ f/ x1 a6 R( {7 i. |. x9 }
Numerical and symbolic computation4 Z) |6 F- E8 Y9 |, V
Computer Modeling and Simulation
. y9 P+ f) L+ @( ^ k Communication Technology
# B6 O7 d9 }* f8 {* C1 F/ Z2 a Algorithms and data structures: [; `) P5 a* ?3 r0 }
Computer Education
8 Y/ D5 [. p8 M% q, m: K6 W* z Other Advanced Technology
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DBTA2010会议联系秘书处; O6 M9 s- l5 j- ~2 s) Q
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邮件: dbta2010@vip.sina.com , info@icdbta.org 7 V( i# f7 c- J$ P; ?
电话: +86-15102769170, E8 ?/ s) P( C/ Q: h P. L
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