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The 2nd International Workshop on Database Technology and Applications (DBTA2010) K0 T9 }! Q0 C! w, V+ w, A( G' `
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 z! x8 P! {* P- U4 G
11月27-28,2010,武汉,中国
( o1 e: n2 h) ^http://www.icdbta.org/0 M. G& Y; i, b$ A( r1 A) A) ?
/ z. v o+ l+ X$ ~论文提交日期: 2010年8月18日
; o0 T$ Z; L" S; j- x3 [+ N% L论文录用通知日期: 2010年9月 16 日. _/ G$ E- ?1 S I
论文修订版本提交日期: 2010年9月22日
! K ]4 R' V* q- H$ j+ o论文注册日期: 2010年9月28日' _* w4 z* Z) M0 q' w1 ^ s1 ^3 l
论文提交系统: http://www.icdbta.org/dbta2010/submission/
( m( F- D# N( f* Z+ h会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)2 A5 X, w: H B' K! \; V
IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)3 W% @% C) R5 d' F8 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。
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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:" b4 | y5 H! Z* a `8 j* P! q
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1. Database and Related Issue
! ~7 x" \' X( lTemporal Data8 K% Y3 \( w Z1 c) J# v$ f# z
Scientific Databases
; v" k I0 R& }/ ?( F7 J KBusiness database software, ?3 c* R0 G0 O# N' c
Computer data processing
: V$ `5 U r7 x) Q" f8 [Data processing services + f9 G( ?/ ?' @$ j, C+ S4 q
Data processing supplies 3 q) A9 i. I+ r* G6 N) p. C* Q
Data processing systems
, V2 A/ ?1 u3 x7 T- P2 T) UMetadata Management
# G% D1 H$ ?8 C nMobile Data and Information( t3 p) ^4 o+ z
** Databases0 I# x1 U* x5 I, b4 ^ w% _. f
WWW and Databases/ l$ R Q: \7 M8 e r- t( k
Workflow Management and Databases% d( B, F: o8 }3 T* E5 w) I
XML and Databases
3 x9 n, M4 r. e** Databases; ]8 Q9 V7 {3 W: ?
Data modeling and architectures
& v: S+ k& k6 |# qData streaming, data provenance and data quality
" `0 |. |" \" J% I' H& o- m" l$ xData Security, privacy, and data integrity
3 V K4 \9 A3 k' t) rWeb Data and the Internet
. \2 X1 ]- _) O4 SXML and databases, web services
! s5 w, T7 R: }( f" I, DSemi-structured data, metadata2 ^8 L/ u8 B. L8 J' {: B8 v/ B
e-commence' K1 O. U% g9 e# W4 g" }, ]0 A
0 l3 c6 h4 ~; J8 W+ T. H2. Data warehouse and Data mining
, G8 j0 Q" w( v! H: J& aGrid/Parallel/distributed data warehousing
, f- v# ` G3 M+ R# ~Web/** data warehouses
" r' r5 [# E% e' DData warehousing and the semantic web. ? ]6 p" j. Y- |+ O g
Data warehousing with unstructured data
- a" X3 W6 k7 _ hIntegration of Data Warehousing8 Q# A$ X; d7 r, r; _
Data and knowledge representation0 g: _& K6 p+ M( c; e0 Z
Languages and inte**ces for data mining& [; s. ^- |; T; n: b
Data integration and interoperability6 C5 Y8 M: W; }0 t
Data extraction, cleansing, transforming and loading# l4 G9 G1 ^% Z- R, e
Data mining and information extraction$ g8 \) H. k2 z T3 C( L
KDD Process and Human Interaction
( |5 d7 s# ^( P* `% R; L* tOLAP and Data Mining+ F3 P3 \1 n4 h2 Y" s' B/ d) H
Parallel and Distributed Data Mining4 j" _& m! [, c# P+ |
Physical database design and performance evaluation
) Z$ g1 i" A, x2 K' R- JQuery processing and optimization* _% S, E6 l5 \! Y8 L/ F. Z1 |
Reliability and Robustness Issues
2 w: y& E8 b) Y" A2 QSemantic web and ontology) b! D5 ~& n. E* g) o2 N. }" H
Software Warehouse and Software Mining7 G8 E- V; L; r3 Z: Z% B5 M
Social and mathematical statistics
/ J, N/ q1 k- @4 P! {& o; pNovel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
3 Q+ m8 ]/ G5 j; N3 bDeveloping a unifying theory of data mining
6 g0 Y1 x, Z3 K3 i D+ @0 L; IMining sequences and sequential data
0 C- `! x( ?5 W" wData pre-processing, data reduction, feature selection, and feature transformation
- q" B/ K0 [( M& q) I- \% }Quality assessment, interestingness analysis, and post-processing 0 \: E0 s: P9 e- Y1 p4 Q. ?6 Q
Mining unstructured, semi-structured, and structured data! ] E" h) `% I& `; @! S. r2 ]
Mining temporal, spatial, spatio-temporal data
}( u8 h# L1 @6 T5 ^6 z9 wMining data streams and sensor data
, U, U& O2 Y" v5 C: SMining ** data
3 H' c; h+ A- z& ^2 n; o6 F% fMining social network data
) s% _9 C# O; l _5 _! C3 f" b) CHuman-machine interaction and visual data mining
8 w; t( Z8 v4 i I" g9 m2 LData mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)7 y3 s, }4 e9 {, | c
Knowledge Acquisition & Management- P+ a" i, ^: r- ?# o" a
Knowledge Modeling: V: x8 p* B; v8 Y$ l- F4 f3 S
Knowledge Processing# A# x) j" b" a" y% h# r# b) g4 A
Integrated KDD applications and systems ) L% E @* i$ A1 ~. {- s1 G! K( O: k
Business Process Intelligence: v% R) {5 C# g+ E3 P( Z& G
Cluster Analysis and Knowledge Base system) }9 U, }4 }3 T6 S' }" {3 D
Information systems technology
* ?4 e% ?8 N$ \: BOther related technology about data mining
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3. Computer Science and Related Technology
) Y1 ^2 R" i9 ?; e, ?) l1 ZImage and signal processing
( b' D% R7 Z- P7 W; B: \/ ? Y: uArtificial Intelligence / p3 H7 I( |- w* |# k8 f d8 l
Software engineering
) i3 ~* L! }, `% ]4 P4 l" nSystems Engineering $ u3 B/ `1 L' T' l- X$ `
Computer Graphics
" X0 N( E( I0 p/ Z0 P, x7 i7 LComputer Application
! ?& U; P0 L' C* dControl Technology
2 m1 E7 a& m- X+ L* U# @$ T7 dNetwork Technology
: X7 \( ~0 s$ k }0 g5 m$ \Network security , s& z/ L _+ ^
Numerical and symbolic computation
2 o" Y2 B3 s/ W, F0 q# {2 j1 }Computer Modeling and Simulation
/ v, v4 [; C5 m, u ^Communication Technology 8 l. y% m [4 k/ z7 o( z8 J3 C
Algorithms and data structures
: R) J5 C( U% h6 E+ V1 |Computer Education
* q# _0 Z% |# ]& O; @& H2 h4 b+ Z! IOther Advanced Technology
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DBTA2010会议联系秘书处
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邮件: dbta2010@vip.sina.com, info@icdbta.org+ @: }: y. B/ J: y* |3 j8 {
电话: +86-15102769170
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