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The 2nd International Workshop on Database Technology and Applications (DBTA2010)9 c. @1 x! w, a: Q
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)
" _$ b! J. e: E; s11月27-28,2010,武汉,中国
3 ^: U; e% T F7 Dhttp://www.icdbta.org/
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论文提交日期: 2010年8月18日# X9 `$ i# ?# |& ]8 t
论文录用通知日期: 2010年9月 16 日
1 K6 l. Q5 M& y4 g论文修订版本提交日期: 2010年9月22日' j( j l$ Z0 q4 w# K7 d
论文注册日期: 2010年9月28日- U( K' `$ }/ L! ]! O7 B5 S; z
论文提交系统: http://www.icdbta.org/dbta2010/submission/
$ S' e* g j' j: R, U会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)! `5 b) x6 @; x$ p; s; ~, s
IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)
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6 f. X& L0 @6 P( U# 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。& |, H. {! |0 ]. y- Q
. I% a7 V; Z0 G2 z7 d0 {* q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
+ q- \8 U: R# m) K" j" tTemporal Data
! J. X3 W: q0 W$ {3 X3 H# z! }Scientific Databases
, p* R# q5 D) U) h' l6 @3 TBusiness database software5 o9 S5 Y2 ^/ z/ G7 \6 H* j
Computer data processing
% Q _+ x9 g* Z6 p3 Z5 `% b* t- AData processing services
2 ^: m$ C: L6 ]0 A0 @ _0 \) cData processing supplies " h: V8 m, _& Q8 M; z
Data processing systems
. Y4 p% F+ P( ^) t0 eMetadata Management+ W- u( m+ X3 ?, L6 G1 t
Mobile Data and Information
( T& d$ e9 x, [1 d$ i, e9 p: Z** Databases) j2 S. j* F1 o3 f9 Z& A1 ?- [4 d) z
WWW and Databases! h8 |1 t; g$ l8 k7 \+ N) E5 Z
Workflow Management and Databases6 u- S% @6 W; h7 d
XML and Databases
) s6 y" `6 p4 C5 U+ J+ z. E: |) ~** Databases2 O+ T+ t) [, I- h% e
Data modeling and architectures
7 z; B; M! i; z% gData streaming, data provenance and data quality
u0 l2 Z1 e) A$ T& nData Security, privacy, and data integrity " j M# ] a/ P* t% u, V
Web Data and the Internet
; f2 _7 W0 E$ U3 {6 ~XML and databases, web services! u1 ]( |9 H, x6 e- p' N0 L
Semi-structured data, metadata3 ?" v% l! T* b" I4 D0 \" z
e-commence
% N. ` w* @- h7 t6 _$ a! }+ V
& z& _4 q& U9 A8 S3 R2. Data warehouse and Data mining
' B0 S% G1 u/ W$ ?1 AGrid/Parallel/distributed data warehousing/ L7 @8 p1 {# }* s! j( [, Y1 Z0 k
Web/** data warehouses
) Z5 W! x( H; ^8 E$ ]$ s( f$ t- hData warehousing and the semantic web
8 ~. `! S6 z4 ^& B* U, fData warehousing with unstructured data0 @5 b! [0 D! [* B
Integration of Data Warehousing
; D* _7 i# v+ z. B% V6 JData and knowledge representation
; z X8 m* r8 a# ^' G" I# Y7 eLanguages and inte**ces for data mining
2 o l# u7 P9 V4 T. \Data integration and interoperability1 }1 `* l8 Y. a* L+ q! [6 k9 [
Data extraction, cleansing, transforming and loading
# b' M/ N- f# _# L/ O9 EData mining and information extraction' D/ }6 d1 X$ s9 c
KDD Process and Human Interaction& C; h+ Q2 b9 j- o3 s* N
OLAP and Data Mining
7 Y4 Q& X. @; |) m/ P: ~# c" zParallel and Distributed Data Mining7 h7 c0 n$ s. K% K1 V; b
Physical database design and performance evaluation
2 c7 S8 l8 L0 F) ]& SQuery processing and optimization6 K4 b! ?3 K% ]! E8 E5 Y
Reliability and Robustness Issues
' t3 y6 _* e! i6 pSemantic web and ontology, J) a* T6 |/ }+ `. o! X$ V
Software Warehouse and Software Mining
. g2 ?# A7 V7 ]+ P$ l l2 j) tSocial and mathematical statistics1 k. c0 P7 S& G$ C/ r
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
$ e" k" K- ~% [: DDeveloping a unifying theory of data mining " Q& |3 E+ H8 i. C/ {
Mining sequences and sequential data& P( J' t( e7 `, U" D) K5 P
Data pre-processing, data reduction, feature selection, and feature transformation 4 Q+ P, a) ?/ P( i& D' I* d
Quality assessment, interestingness analysis, and post-processing 4 M+ K1 j( r: D- ^9 R; Y% K' r; W$ P
Mining unstructured, semi-structured, and structured data7 s: m- p7 n& q C* K' C c
Mining temporal, spatial, spatio-temporal data
+ }$ A& ?9 ]' ]$ [ @Mining data streams and sensor data: d( J5 |: {- \6 a
Mining ** data8 H2 x( T6 C, i0 A) q9 q
Mining social network data
: m# r* K, @: @: H2 D, l: ^- lHuman-machine interaction and visual data mining 2 Q, e. V" z5 Y) F
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)$ p/ ]; m. M' k9 F8 M' t5 b$ r* s6 {
Knowledge Acquisition & Management/ m0 D3 [! Z) _; v- [, T) B8 I
Knowledge Modeling1 h& q2 j: n0 _
Knowledge Processing' c2 R+ x7 ?* M6 L. i4 [9 b
Integrated KDD applications and systems
0 C2 C4 S2 L; T: f7 o# cBusiness Process Intelligence- R- f$ G# u: w P) x# }7 X
Cluster Analysis and Knowledge Base system# ]) m$ d; {2 D/ m7 i. P
Information systems technology
, b( Y' U4 l' O" J1 Y3 KOther related technology about data mining0 ~- b8 F! f& G
% Q- f7 m, W5 c6 K6 R! z3. Computer Science and Related Technology : e& d N3 ?/ h" }3 M
Image and signal processing + r( L5 b) S, o, Q% W
Artificial Intelligence
0 H4 P% D' i/ X) R, ~. g0 D ^Software engineering
0 q" i7 Z* h6 L, S0 N' _Systems Engineering
) j3 O1 f1 U" z- @' N8 K( M) vComputer Graphics
' K" F0 |7 w( N( P& S$ n% l: _Computer Application
+ P, U' `$ d: `8 A# g' U) eControl Technology / s" q2 u: L3 d- O, X/ c, U
Network Technology
. \% P' ]9 B& b; k# F/ L& x( wNetwork security
( z3 a \5 I% C: G& Z: fNumerical and symbolic computation; \8 R, i: c1 B" J6 u
Computer Modeling and Simulation# K d$ h+ D1 ]" W8 ]
Communication Technology 9 v( \& W6 [# M, }7 Z; V
Algorithms and data structures
" D9 ~7 c* s4 \2 l4 ZComputer Education: d3 E, i- `3 F- x: L) Y/ o
Other Advanced Technology
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DBTA2010会议联系秘书处+ n8 E- Q4 S7 \# B g5 ]! E2 _
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邮件: dbta2010@vip.sina.com, info@icdbta.org/ v; Q! X! T$ @7 z4 {1 O1 p7 L
电话: +86-15102769170# a5 I# P% a3 u" F; s5 }
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