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The 2nd International Workshop on Database Technology and Applications (DBTA2010)
7 V- |. C: n+ n: K! e7 S) o; ^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), S. ]# s' Y+ A8 |
11月27-28，2010，武汉，中国 9 |: J+ x% t2 I# D' s/ j) {* o# W
http://www.icdbta.org/dbta2010/
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4 t( m7 i& i% V3 G* Y论文提交日期: 2010年8月18日
7 ]5 i# O1 _; Z' V) q- B论文录用通知日期: 2010年9月 16 日
. x. [- c, I9 ]论文修订版本提交日期: 2010年9月22日 L2 C+ [0 s7 h1 D: z. k1 d
论文注册日期: 2010年9月28日& N* k+ e4 j4 ^+ z# I2 N
论文提交系统: http://www.icdbta.org/dbta2010/submission/
3 S# Y& q# Y: R8 o& s会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc（只接受英文稿件）
8 K J' i2 {( T- e4 k$ L2 XIEEE会议论文版权表：http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc（录用注册后提交） 4 C" \, N9 \4 H
; }/ ~, m7 O9 c. k" y! I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EI Compendex和ISTP检索。会议优秀论文将被推荐选入EI或SCI收录的国际期刊专刊发表。) A. {/ p, r7 \' b7 P- Y) |
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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三个领域构成，但并不局限于：
0 e) _1 ]8 s! u1 ?, ?1. Database and Related Issue / 数据库与相关领域
( o& \2 z# p5 _, E2 ^8 D) ~" ]6 STemporal Data
m+ T. s$ `6 `, H% Q0 MScientific Databases' b: t/ K# _. m8 `0 `+ v3 o
Business database software) b2 S* L. L8 l3 _+ j; E2 N8 ^
Computer data processing 6 ]' ~! p9 _0 E/ p3 E# d
Data processing services ) C G9 [" ~2 k) G
Data processing supplies
2 V8 S$ S' W" L; C# ZData processing systems$ y$ A; u# ]1 ^( Y$ t2 m
Metadata Management
6 k1 x4 ^3 H" {0 f$ \% G$ L! ~Mobile Data and Information
6 Q6 N$ s5 b9 s" U# DMultimedia Databases6 t, m) F+ G/ j& P& w3 l
WWW and Databases
, {2 s0 V( m) u$ t- X% VWorkflow Management and Databases4 W( i; a2 n' s$ V
XML and Databases
* f$ G& q5 C! j7 }. p6 ZMultimedia Databases2 i3 G1 O- |4 l! i6 _* [: a
Data modelling and architectures+ ~& C$ \% V# f3 H9 }0 e
Data streaming, data provenance and data quality
; c- A4 x( H5 a8 ~" Q0 A- k6 OData Security, privacy, and data integrity 2 [* E; w) m# v
Web Data and the Internet
0 x% b: A N! PXML and databases, web services% M4 @8 z$ S9 Y7 [9 J
Semi-structured data, metadata
& q8 Z4 K+ B9 K5 d* l0 \e-commence, o& P; Z ` ]( f+ H9 J! @
2 I3 o H; g2 Z4 ~) x: I W2. Data warehouse and Data mining /数据仓库和数据挖掘
( _4 A6 t) g: u+ c8 A) MGrid/Parallel/distributed data warehousing% f# G9 b' H: l4 G0 d: f* w8 b
Web/multimedia data warehouses
! @8 V" p1 @ g4 z yData warehousing and the semantic web6 `/ ~; S2 N/ |: Z7 a2 j' I. w; f
Data warehousing with unstructured data* K* Y; M1 t+ W0 U& U3 f
Integration of Data Warehousing! B. R4 a; Q, K2 W i* Q- t
Data and knowledge representation+ h% [, Y: q& w ^/ N. e: Z3 }
Languages and interfaces for data mining
8 } P, T; C6 {7 V+ _# z4 hData integration and interoperability
7 W+ z& X6 O8 y# K; B# B; Q% J( ^5 ^Data extraction, cleansing, transforming and loading% I5 r) i8 J+ H# h- `9 t) n: [8 n7 \
Data mining and information extraction
9 C0 J1 q2 p9 F" ^KDD Process and Human Interaction
$ W4 H( g& Z [$ H( IOLAP and Data Mining7 g* j/ S: S/ U, t- j/ e1 v4 W
Parallel and Distributed Data Mining& G+ B s6 l4 `
Physical database design and performance evaluation
* K/ K# p/ B6 w0 p- ]6 GQuery processing and optimization
% ]5 q; c, s9 g9 f8 h& |6 iReliability and Robustness Issues
: E* g7 F1 I3 MSemantic web and ontologies1 q3 H+ n$ S1 P! F
Software Warehouse and Software Mining6 Q+ H& v) w* U( W. B4 M1 d
Social and mathematical statistics
2 k9 _( _! V7 l+ E7 R" ANovel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) " ]) c# m7 a6 J- F
Developing a unifying theory of data mining 7 U" r2 {7 A2 V; H. z
Mining sequences and sequential data
8 a5 j" `+ [2 o* f) B/ K- X9 B+ MData pre-processing, data reduction, feature selection, and feature transformation
4 q' q$ u& l) d! V# S0 x+ H7 xQuality assessment, interestingness analysis, and post-processing
1 k! T! ^3 V4 n+ N0 U! OMining unstructured, semi-structured, and structured data
p% B) _. _. c( q1 kMining temporal, spatial, spatio-temporal data
4 J/ _ r9 Z' \* NMining data streams and sensor data6 K- @6 y s0 a/ G) v& l4 `, j+ O
Mining multimedia data
8 r5 Q j5 |8 jMining social network data9 A* y5 q. b8 }
Human-machine interaction and visual data mining
$ D6 i" I9 Y& s' R- X6 N$ CData mining applications(bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
7 @' r& ]7 ]) GKnowledge Acquisition & Management
+ | D! t: r- h: f" p. nKnowledge Modelling7 p4 g1 J, _9 g6 N0 ^! a5 k
Knowledge Processing
- b6 w3 ]( y# ^$ C; t+ @* i. _Integrated KDD applications and systems
8 V+ c; T8 z& v2 S" t9 F' MBusiness Process Intelligence
$ | G1 X( [; u0 j" z( xCluster Analysis and Knowledge Base system
- z; f* n* N, `$ sInformation systems technology6 [! b6 I4 L2 W
Other related technology about data mining
# e3 O; i6 I: _6 q9 L G4 F! @3. Computer Science and Related Technology /计算机科学和相关技术
1 L9 c5 I0 X" O4 I* D/ yImage and singnal processing
8 z/ t7 K) ]2 @; XArtificial Intelligence
! W" v" o2 B: USoftware engineering 8 e) V; M& M6 d7 |2 e
Systems Engineering
! H+ {0 l. }4 U, S/ B. TComputer Graphics
1 o' B; D* M+ U8 i3 bComputer Application 6 M$ }- N9 m+ w
Control Technology
) h# Z! j+ D8 j, q0 a G+ _Network Technology
, D* [' U/ ~0 {4 YNetwork security ( m: L5 v8 d# _5 |( O4 w( {9 O
Numerical and symbolic computation3 c# n1 [8 x$ `8 s: o+ P
Computer Modeling and Simulation
( M, l2 Q7 a, ?% h) B% B" vCommunication Technology ; I; ~. {: E* b4 n/ m; `
Algorithms and data structures
) a: i3 k( n/ Z# {4 D# G' f, ^Computer Education
0 R3 `3 G' l& E w+ WOther Advanced Technology9 }; {: e- F, O) k8 }# P' _- O
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: k0 V# d! a/ E3 o# J% P7 L, W/ J5 M8 nDBTA2010会议联系秘书处4 S) J3 ~4 K; M8 p* I: Q# O m
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邮件: info@icdbta.org, dbta2010@vip.sina.com
2 J0 I: ~$ P$ c0 Y电话: +86-15102769170
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