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6 D# `. q1 ~; Q. K# ~The 2nd International Workshop on Database Technology and Applications (DBTA2010); |, R; H% G: V# R2 f
0 d9 s2 \( D7 V" e3 Z4 c- 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)
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11月27-28，2010，武汉，中国 8 R D1 `) p8 ]* S( {8 T* ?
' [; A/ N* F: H3 N6 ~! Ihttp://www.icdbta.org/
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论文提交日期: 2010年8月18日6 G- f: d+ y2 h, A: Q# t
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论文录用通知日期: 2010年9月 16 日
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# H" N' z9 E' c# p" s r) K论文修订版本提交日期: 2010年9月22日
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$ ]; @; C* `! ]' I& g9 H0 ?( @) Q论文注册日期: 2010年9月28日
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4 p& E) I- b! Z7 j6 [8 P% @! T& A4 m论文提交系统: http://www.icdbta.org/dbta2010/submission/
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, N( e, t: _! k& c+ n# Q会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc（只接受英文稿件）
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IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc （录用注册后提交）' o5 f/ f) b/ v2 m/ L
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! ]) {2 U, v, [! h# |* @( J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。6 s6 Q* P- g3 |- ]* z! k3 o
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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。: T W! P' V5 {3 M; V4 L' c
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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! O; p7 h# M2 F* _
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优秀论文将被推荐选入EI或SCI国际期刊专刊发表。0 Y/ Y0 A! l% N- R Q' [. h; m
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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：
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/ I5 K3 h& s+ Z( U, y6 P1. Database and Related Issue % \. ]8 n3 C' f5 P% I0 ?
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Temporal Data
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( p2 R" ^1 u/ i9 u8 e: AScientific Databases
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# u8 M4 n7 M$ l) F& \; hBusiness database software
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f; W N0 t- ]Computer data processing
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) y0 ]$ ]0 Y. M% O1 G2 gData processing services # B6 l5 Z: B9 T9 K5 H5 w% H
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Data processing supplies ( A8 E* I3 N0 f/ R+ N3 |
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Data processing systems, b/ k" t9 G2 w2 a% l; ^. e
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Metadata Management
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Mobile Data and Information
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Multimedia Databases, r6 g6 u4 C, k7 X& g
) ]6 |: V+ p" T! m, t& O( ~0 hWWW and Databases
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* d0 H- @- b7 h, tWorkflow Management and Databases
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XML and Databases# v( X4 D) H% ]. j, {. N; p/ _4 O
. J% `( d4 F) G9 g: j1 bMultimedia Databases
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Data modeling and architectures1 C1 `) E5 m( t0 }+ ~- @
# w1 w$ d( f3 N3 ?Data streaming, data provenance and data quality
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3 O# Y% l5 j( X9 o9 } r4 M0 F( E% TData Security, privacy, and data integrity $ }+ C: \( I& U3 q ^
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Web Data and the Internet( e1 h" ]6 G: o- N* O
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XML and databases, web services8 l; } y* y" O+ o& K5 ~
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Semi-structured data, metadata, W% W( M1 V8 I8 V
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2. Data warehouse and Data mining+ ?3 Y: `5 N1 Q5 s2 i/ S9 L
% j7 d% J( M o0 o) k& {9 Y7 IGrid/Parallel/distributed data warehousing
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Web/multimedia data warehouses5 T$ L3 }+ C& }2 K) m: x' ~
: _. ^% m+ y8 U8 E- kData warehousing and the semantic web
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Data warehousing with unstructured data
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Integration of Data Warehousing
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Data and knowledge representation4 B3 |- R8 n( J
' Y/ S$ w- d6 k2 o) z5 S$ WLanguages and interfaces for data mining, c$ \/ k2 S0 u; i
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Data integration and interoperability
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Data extraction, cleansing, transforming and loading1 D) ]7 ~5 }0 k- ^
" q" y% w* q/ N% aData mining and information extraction' A) r0 J( k1 Z
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KDD Process and Human Interaction( B9 e* K* o% Y& g8 Q; l
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OLAP and Data Mining) A/ i7 U2 O# Z! C: w; q3 n$ |0 b
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Parallel and Distributed Data Mining* T% I, }5 ]& Y3 \9 E# h b* p
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1 n/ ]' e" |( e7 V9 W& ~2 `: jQuery processing and optimization
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! `* k o( I$ ]. F& }! q6 R3 a1 fReliability and Robustness Issues I, j5 i; C7 s! s" I1 X6 z
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Semantic web and ontology
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Software Warehouse and Software Mining4 F; H( A# E' d
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Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) . z3 z' H' x2 e! e' R4 J
1 i8 j& l$ Z. Z$ y* P) K2 f' qDeveloping a unifying theory of data mining # k* N7 S; p0 x4 e
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Mining sequences and sequential data1 l0 [- G2 @& j* L/ r B
7 E2 ?, u2 Q4 ]8 }( ?Data pre-processing, data reduction, feature selection, and feature transformation 9 Q. a8 `- \$ I: g
1 J% o( d. r0 q+ t5 ~5 B# r" PQuality assessment, interestingness analysis, and post-processing
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; m8 n$ S3 w9 YMining unstructured, semi-structured, and structured data
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Mining temporal, spatial, spatio-temporal data) {$ ?5 A9 W4 R. z3 |6 j
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Mining data streams and sensor data+ u. w" ]7 b' C: S
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Mining multimedia data& V" m4 I8 K$ Z6 B! |5 F
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Mining social network data
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; D. A2 ]& `& _" f6 `3 ^Human-machine interaction and visual data mining
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. j3 E9 C1 _1 ]( |$ [2 `8 NData mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc) g5 s0 E) T- g. u& A& Q
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Knowledge Acquisition & Management
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Knowledge Modeling/ l4 b' Y" J/ b5 C! q: T
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Knowledge Processing: ^, y# \: I8 m. O, o1 h
2 j, _# q5 f- |7 t( r- MIntegrated KDD applications and systems
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) ?( O/ B) E1 Z' F& ?Business Process Intelligence) b0 I' @: }* p2 g D9 d) X
' y; k B. K9 B" ~+ D9 PCluster Analysis and Knowledge Base system$ E+ N% V- y: L$ e- b4 J( g
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Information systems technology1 _9 N+ ?. {8 w
0 ]2 W# [2 ?9 @# rOther related technology about data mining, X% J5 n- T/ B
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5 j4 [8 `. s/ M0 |( S" P3 |3. Computer Science and Related Technology + `) {4 ]: M p+ ]: S- ]: j9 c2 f
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Image and signal processing - D$ b# F2 r& r, H
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Artificial Intelligence
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& Y* N6 v9 S( }) @Software engineering
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, N5 c, X$ B2 y' B1 A6 Y! [% eSystems Engineering + N& _! M9 B7 `" h8 a6 a& f
9 Q* h/ Q( \# W+ Z, i% CComputer Graphics / p" [% k) Q, L
* H k( J% \$ JComputer Application
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Control Technology
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" @ o" q/ t7 p) Z# iNetwork Technology
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; E. q6 c3 @9 A" W3 e/ H" UNetwork security
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4 |4 C" Y$ t1 d/ U/ b% jNumerical and symbolic computation
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' Z! Z+ [- s% `6 jComputer Modeling and Simulation: a1 v: `: B) L9 j! R c, l
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Communication Technology
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7 x# x# [6 O& sAlgorithms and data structures
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Computer Education T7 a- |$ ? f$ @3 O
; M3 e0 b( o( ^: ^9 S9 wOther Advanced Technology9 N$ x* C1 {1 P1 P% ~0 m" a: K, ?
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0 B" y( b4 s& x) p4 i* i' @6 ^: f2 lDBTA2010会议联系秘书处) \' Q3 k# t: P& L, Q
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( @) j! w. x( Q4 ^* R邮件: dbta2010@vip.sina.com, info@icdbta.org
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