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The 2nd International Workshop on Database Technology and Applications (DBTA2010). C) K8 F6 A4 P$ Z( U
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)( ]7 K5 X9 G8 Q5 [4 c! e, D
11月27-28,2010,武汉,中国 1 z- B4 c2 z) F6 P/ c$ T) u
http://www.icdbta.org/! v" F) l# b( I6 N) ~
$ J. g. @6 W6 {& C5 o! V% i E7 C( ^论文提交日期: 2010年8月18日# E, R, {' X0 H! v2 [
论文录用通知日期: 2010年9月 16 日% w v9 Q& ~# c# w* M
论文修订版本提交日期: 2010年9月22日1 l! w2 d2 v; P/ o
论文注册日期: 2010年9月28日
' E, D0 P% w) k4 M& Z论文提交系统: http://www.icdbta.org/dbta2010/submission/
K! v- N; s# [* k0 _2 M会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)) H% o7 N4 s' {0 Z( |9 H
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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' s9 C. e. v/ V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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6 _% B$ G: R9 w- [" }0 z3 K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:$ K N8 S6 V" Z9 k
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1. Database and Related Issue # [* Y+ \% I; ^' G5 v. d- ^
Temporal Data
- S/ r6 ?5 Q7 bScientific Databases/ @! m' R, ^6 M+ I
Business database software
" p# w) |. `! lComputer data processing 3 D$ Z+ V; L1 B# h8 l* n2 a# \1 T
Data processing services
+ x1 g/ L! v$ J8 ] j% YData processing supplies / L! O3 ]5 A9 e- U
Data processing systems: m I6 i0 s2 k" N; d
Metadata Management
& ~3 |7 T& O- E. h& [8 L/ X: lMobile Data and Information
( \( g8 A P3 S- h" d+ j** Databases
0 a; C4 ]6 X) s$ W% P( o- g0 v. }" \WWW and Databases
. a+ O- n1 r7 h$ j& b, gWorkflow Management and Databases2 W' Y, j5 b) |" d8 N. z
XML and Databases
2 B. L1 N- y, j- d! Y** Databases
* Q- w& ~: v& c; D; b2 i) w1 i$ Z fData modeling and architectures
" a+ R$ o) H9 \2 Y4 B5 ] H6 xData streaming, data provenance and data quality9 A7 R: R4 \% u. k* t
Data Security, privacy, and data integrity % S: L3 F% D' @5 X2 X
Web Data and the Internet. |. K6 t3 ~: {" Q. b$ r
XML and databases, web services
; S; D% o$ k; w+ F+ g" SSemi-structured data, metadata
- A, l N! F6 a& Re-commence
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2. Data warehouse and Data mining
/ i* v6 }( n# GGrid/Parallel/distributed data warehousing; q- A# Y' W, B
Web/** data warehouses
5 m" Q$ v1 F) Z' k/ ^8 H; w1 @2 Z' lData warehousing and the semantic web3 ~" C; d3 \& q/ d
Data warehousing with unstructured data
7 f$ e6 V8 Y0 }6 O+ F* \" M ]) }Integration of Data Warehousing. h; i4 A: O+ g! V2 u8 ?
Data and knowledge representation
& J! w8 s! J: g. SLanguages and inte**ces for data mining
$ X) B- F3 e( O! {Data integration and interoperability2 e. T2 R1 E1 u) z7 B! \, M
Data extraction, cleansing, transforming and loading
3 J7 l' A8 j$ W. S& F( ZData mining and information extraction0 k2 T5 Q' N g2 n4 {
KDD Process and Human Interaction' H8 B, D( o& E0 `; U9 v3 V
OLAP and Data Mining
4 z5 h; |6 ]* E8 j$ @Parallel and Distributed Data Mining
% O* m9 F) n' J* `) DPhysical database design and performance evaluation
0 u6 p% j* l. \0 v5 ]5 s7 B+ n1 w! rQuery processing and optimization( _( }# D" Q# Q
Reliability and Robustness Issues* t1 _/ K& I m! u4 q3 q6 L
Semantic web and ontology
( V, x& v) Y; |: iSoftware Warehouse and Software Mining" [4 p% c8 `0 ^( J7 l, d
Social and mathematical statistics
/ v: l6 z4 f' Z& t/ R' L6 o9 ^- Q DNovel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
3 w6 X& g( H% u Y5 ~Developing a unifying theory of data mining
4 e. J+ s y" F4 _4 y# @% xMining sequences and sequential data
+ u b0 C* M' I, K% pData pre-processing, data reduction, feature selection, and feature transformation
2 A. p7 v' d& J3 b7 CQuality assessment, interestingness analysis, and post-processing
5 _1 C$ G' X3 B# L+ R, Z& jMining unstructured, semi-structured, and structured data
) m- N" s6 G; n5 I# KMining temporal, spatial, spatio-temporal data8 P' p8 g) Y8 Y3 _0 r7 o' J/ }
Mining data streams and sensor data
8 X- X2 F0 M- T, S7 {Mining ** data& Q. e& W$ L9 K" j! R$ H! U
Mining social network data
+ ^$ G0 b; |5 gHuman-machine interaction and visual data mining ( y8 c5 h6 J7 M, }; n
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
4 d' P4 w% _- p! G8 {8 ~# ]6 V8 q9 G5 pKnowledge Acquisition & Management- A% g- `/ U" U: ]# q4 l: y/ ]
Knowledge Modeling5 ]9 G+ v7 x! L% \6 |0 f# C
Knowledge Processing2 d& `2 C- r8 r* N. i1 e
Integrated KDD applications and systems # U9 \* ~$ ?0 v+ J, K! p' x
Business Process Intelligence
% ?5 T2 n. v; f1 Y iCluster Analysis and Knowledge Base system$ g, e% Y; Q( g) ]5 _( H, f+ U
Information systems technology
$ z' F5 F& \0 P0 ^) GOther related technology about data mining A3 B" b" |: _0 X u6 C' }
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3. Computer Science and Related Technology
, l" ]1 k7 Z/ k7 C+ fImage and signal processing 7 G* ~, C9 x' v6 k4 L
Artificial Intelligence * n2 K" O: y; ?7 y5 u
Software engineering
7 k" I0 L. X. t& u5 b9 OSystems Engineering # n3 p& Q9 Y4 {
Computer Graphics ( \5 e* v4 S' I4 `( D
Computer Application
# k" U% g1 e, Z! z; J% ZControl Technology , Y. `3 {. ^" Q3 u: B6 y. p
Network Technology ) {2 |* M9 i+ e0 c( v
Network security
2 y% I6 C1 ]( {. W; wNumerical and symbolic computation
/ D9 }- C0 o8 `) dComputer Modeling and Simulation
* g+ a1 e3 e M; dCommunication Technology : j; ], g* A2 b1 v1 X* g( s, w6 u7 F
Algorithms and data structures- W/ s: ~1 j: \4 I: K4 V. [! M
Computer Education
% D6 d: H7 d7 D' H- P8 XOther Advanced Technology3 o: x' d% A" \) o
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; O* p* u0 d* M; u7 fDBTA2010会议联系秘书处
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邮件: dbta2010@vip.sina.com, info@icdbta.org
2 A. g, E' d7 y" B& _电话: +86-15102769170
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