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The 2nd International Workshop on Database Technology and Applications (DBTA2010)
7 h$ V1 @+ N, b) t& |# w* h N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)
9 W8 }+ S9 F2 E1 x& u6 u11月27-28,2010,武汉,中国
: S7 r; c( C1 M$ M( thttp://www.icdbta.org/
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论文提交日期: 2010年8月18日
: m a7 U( i# X1 I论文录用通知日期: 2010年9月 16 日; K$ E. r6 [* G+ k$ b, j. G
论文修订版本提交日期: 2010年9月22日! F/ E4 v) H @4 K2 o5 _6 g
论文注册日期: 2010年9月28日. s- ?2 ]% y8 k
论文提交系统: http://www.icdbta.org/dbta2010/submission/+ _8 y% o6 }8 u( V
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)
% Z9 J1 o5 C: \ i- m/ {0 qIEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交), J. [& a' j& d6 c7 z% x8 I
( u7 }% D" c, f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。
$ F& k* E& o: D7 `
5 Y. _3 N7 u) W$ z' e0 i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 S) D1 U; O; E1 A! k& q# u, ?Temporal Data- J' J9 q$ \# g8 l$ R; H
Scientific Databases0 ] |, x Y. X# Y! u
Business database software3 W' k5 v0 C, @# i5 g( x% U c* e
Computer data processing
" @! J! L9 @% ~% s, q5 ^9 SData processing services $ f0 l4 ]% w. D0 b+ p" g
Data processing supplies 0 \: o Y7 _; a ~9 _8 h5 ]: c7 Y
Data processing systems% z# ~7 ~4 h& [ l! E' `% Y, w3 F
Metadata Management1 L, R# I2 c" N8 \
Mobile Data and Information5 |, ]0 ]0 Z# T& O0 y
** Databases0 }! g- f; D, w
WWW and Databases2 P# ?/ S* X" I9 Y e
Workflow Management and Databases3 k, m! ]8 ~( o' }& c. K, m4 a+ ^
XML and Databases
: e$ p5 I1 m$ E I/ G" m# N** Databases
2 Q; y/ F$ ]& n8 M3 ~- LData modeling and architectures
0 q) U& A+ |% S& }/ a6 bData streaming, data provenance and data quality
! O }8 Q6 u: U1 f. CData Security, privacy, and data integrity
# q2 k8 a3 z0 m8 S* H, }Web Data and the Internet
$ K7 f0 t) z+ w& IXML and databases, web services
, V" m" h' P# X7 h$ oSemi-structured data, metadata$ l# D) }! O5 Z: M4 l
e-commence( z" M" Y- k, y J
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2. Data warehouse and Data mining
8 Z' N- |# X" i9 `" Z0 ]Grid/Parallel/distributed data warehousing/ A1 b, g) Y: H/ L( T' y
Web/** data warehouses
& F; W8 B8 c: i' v C$ B6 oData warehousing and the semantic web
$ Z7 f! e- q6 l8 f3 p6 i ]; \* VData warehousing with unstructured data
: O& l, i; W4 jIntegration of Data Warehousing5 I8 i6 l1 e) V$ e* F. z. x
Data and knowledge representation
8 y6 B& T E( g3 v3 T' |- `, lLanguages and inte**ces for data mining
3 C' X! y* D' X S- h0 xData integration and interoperability
. j0 v2 N: Y& aData extraction, cleansing, transforming and loading
* w- ~, ]% v/ M& P4 e$ P# Z- bData mining and information extraction
. g# r; C1 Y* l9 f) R/ _KDD Process and Human Interaction3 [* y, F8 n6 i7 k* [0 M8 D
OLAP and Data Mining
, i7 @' f9 k7 t5 m" j0 NParallel and Distributed Data Mining8 x) S7 I7 P8 q& e- e
Physical database design and performance evaluation4 }$ j2 z, u4 |% J, {
Query processing and optimization
& v8 |1 _) C4 a" v1 x& \( h6 zReliability and Robustness Issues
1 I! _& K- w; Z0 y& E: gSemantic web and ontology
! x1 S+ ^4 ]& a7 s+ H( j @+ Y2 w/ GSoftware Warehouse and Software Mining
$ H& b( {( C# j- Q4 i- tSocial and mathematical statistics
2 h4 n8 U: H! u: u- i$ o9 H$ }Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) + _4 `- c3 r* A* ?" r
Developing a unifying theory of data mining
% D+ s6 ^/ q2 s$ \ t7 L2 w6 w* gMining sequences and sequential data
& y( Z+ ?) l# H( A( Z" }Data pre-processing, data reduction, feature selection, and feature transformation
! {' P* f3 S1 J2 a6 {) [Quality assessment, interestingness analysis, and post-processing ' N1 F$ J) ?5 D
Mining unstructured, semi-structured, and structured data, `; v( v: V3 y0 n; \+ l1 J0 I
Mining temporal, spatial, spatio-temporal data! a; e/ O6 ]- E" J. F
Mining data streams and sensor data
6 S' H9 s: r7 d" F, @Mining ** data" t) u6 V- w3 i# g! X {3 a9 P6 |
Mining social network data
+ B$ X1 A' M& Q- B) W5 D, UHuman-machine interaction and visual data mining
) u* c) j/ n! Z9 ?, ]% K+ DData mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
' f4 B; e- h! x |% ? BKnowledge Acquisition & Management% ^# V& F/ ~1 [) u7 S: u
Knowledge Modeling
/ k3 d. c/ [* p5 k; s2 \' }. Y/ p( M8 ZKnowledge Processing2 Q& C+ C% ]# ` A, r
Integrated KDD applications and systems + n A: q4 s5 ?3 X
Business Process Intelligence
8 C8 p: j6 K5 p8 CCluster Analysis and Knowledge Base system
5 r* v! b2 K" J. M$ S( fInformation systems technology' z+ M: C& ]$ y/ D- P4 u1 y
Other related technology about data mining
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3. Computer Science and Related Technology
) O3 g V) l x1 y. B: F4 C; F* K, a/ }Image and signal processing - z1 V, D9 T" I" g% B8 f7 Z# l
Artificial Intelligence
2 j# O; p; N$ n+ Z& K, |. BSoftware engineering
) H( z' D c5 Q% ISystems Engineering 9 m. s* s1 A7 W. _- O" ?( \7 Y
Computer Graphics * r6 ^0 R1 D U' R- \* B
Computer Application
3 ]1 p' f$ }) ?) N' TControl Technology 4 W5 r2 K* `) s/ ~* a( l! @5 T
Network Technology 0 R& E. v# D0 h/ g
Network security h+ q+ Z# ~' m& q
Numerical and symbolic computation
' }" q8 X1 g$ }) u2 {8 a2 kComputer Modeling and Simulation
5 V2 W' ?5 d# i2 i6 KCommunication Technology
2 M0 P2 L1 u$ c2 h$ I ~3 i- YAlgorithms and data structures- Q1 A& X+ ?! \7 |# a+ M/ R) c
Computer Education+ ?4 n: E K( V, T
Other Advanced Technology
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DBTA2010会议联系秘书处1 v5 B% d) ?& o6 h. |
5 s8 _! s \7 `. C$ @邮件: dbta2010@vip.sina.com, info@icdbta.org
" i: W; H4 ?2 v" O8 ^6 Y: {电话: +86-15102769170
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