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" ?7 }- C2 k0 E3 [- \$ O `The 2nd International Workshop on Database Technology and Applications (DBTA2010)
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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 : Q1 }# u3 h3 U; g8 |4 v7 N
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http://www.icdbta.org/
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0 j4 @" e5 y. L/ a论文提交日期: 2010年8月18日
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论文录用通知日期: 2010年9月 16 日8 m+ g) W7 J8 |+ w! Y$ M
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论文修订版本提交日期: 2010年9月22日
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, S* y8 e9 T( f2 z6 Q; _论文注册日期: 2010年9月28日, ~. m) ~" |' ~0 Q# t( f
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论文提交系统: http://www.icdbta.org/dbta2010/submission/+ d! e+ o4 S" m$ @& E
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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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/ ~( i# s, _7 vIEEE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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# F# J p% z# k6 c# ^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。' g1 O/ p+ ^+ K) X
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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。
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1 x. Q# |& m X8 Y) t8 c' rDBTA2010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% @+ y, @0 O6 ~7 Z
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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。1 y: _2 D# L* p/ P
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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:) x% s" }/ C8 H* D
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1. Database and Related Issue - M, t8 f& h! q/ b
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Temporal Data0 C% o* x6 T& t4 L4 d
( t' C% \/ @3 y$ |2 Z! CScientific Databases
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( l& b, H+ |0 {3 f/ H7 pBusiness database software* u% r- D, { D" A F3 U
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Computer data processing 3 c3 g6 y4 T& d* E" [
& V8 _9 O4 x/ v, o1 AData processing services . Z+ `, I" Y) F/ u
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Data processing supplies 6 g2 f9 ~ M8 o6 G" `+ B: N `) Y
+ p' J" x% n; |Data processing systems
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Metadata Management' [) |! I' r/ \$ i' H0 r
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Mobile Data and Information- C- N0 Q+ J! g+ m# j
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Multimedia Databases8 p# @" \ q& c4 u3 x$ ^
' a+ K3 c" F9 r. V% s5 JWWW and Databases
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Workflow Management and Databases
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XML and Databases
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Multimedia Databases2 g4 P- M8 Y6 @" x' o/ ~
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Data modeling and architectures" K1 L; a' ~% `
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Data streaming, data provenance and data quality
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Data Security, privacy, and data integrity
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5 d: | G3 I9 [( k& E8 ^Web Data and the Internet
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XML and databases, web services
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0 A; q/ m/ g Z" lSemi-structured data, metadata
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$ T+ j- a: B P9 c9 x2 Ve-commence9 v3 @+ I7 f2 O
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2. Data warehouse and Data mining
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Grid/Parallel/distributed data warehousing& o1 N, r( B4 C
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Web/multimedia data warehouses
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Data warehousing and the semantic web
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Data warehousing with unstructured data
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Integration of Data Warehousing4 k& w7 S2 J B$ t' j8 S6 ^
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Data and knowledge representation
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! ~. P3 B( x3 z- f* m; bLanguages and interfaces for data mining
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Data integration and interoperability
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Data extraction, cleansing, transforming and loading
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3 T3 b0 e6 i0 E( k6 i JData mining and information extraction
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KDD Process and Human Interaction
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" V; [ H3 ]3 U h: IOLAP and Data Mining: T# N6 a4 U, c4 R6 E* ^/ h; j
+ u$ e. i' w9 I- G, u/ @# J% pParallel and Distributed Data Mining
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7 R4 ]0 B y$ L8 K( L6 DPhysical database design and performance evaluation
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$ ~8 L$ q7 q" _) m* SQuery processing and optimization
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7 n7 B: l f. B3 n: e8 k" c; L- qReliability and Robustness Issues
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Semantic web and ontology r* U+ o0 q. N( \% f
: x2 `7 ?$ R+ a# m0 @Software Warehouse and Software Mining0 n0 |0 W/ p2 C6 {/ A, @/ }4 m8 j7 }
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Social and mathematical statistics. S x. x9 l0 g
) b7 p8 u) }3 ^/ W; dNovel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) 9 }. u W# v8 ]
. R; r* ?" R, P% @8 U; p% e5 TDeveloping a unifying theory of data mining ) M4 j1 f7 |! R5 u5 j2 Y2 A
5 T! \- {' E* D- u) I4 _+ R eMining sequences and sequential data
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: U7 h5 e' b$ ?. f) `! {Data pre-processing, data reduction, feature selection, and feature transformation
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Quality assessment, interestingness analysis, and post-processing + c% r1 E9 q. k1 `7 F1 i9 Z
7 ?) l' \( [ o' c! z! ]3 @Mining unstructured, semi-structured, and structured data
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; L8 w2 s- }) ?Mining temporal, spatial, spatio-temporal data
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Mining data streams and sensor data
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Mining multimedia data4 s( d3 \6 b X, u+ \
! u0 D* ~: z: h' G0 qMining social network data
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Human-machine interaction and visual data mining
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Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
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Knowledge Acquisition & Management: |& A+ D/ b' @ W
+ ^; N. s- \( |5 p( j6 HKnowledge Modeling$ N8 W2 H- S/ [
$ S7 B) N- _4 FKnowledge Processing% X& I/ [6 G& X! h4 z- c; Z
) ? y* m/ J8 D7 @$ wIntegrated KDD applications and systems
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* }6 H; z6 I5 V% g; b5 DBusiness Process Intelligence T" H* S" }* @+ V5 Y: o& [* y4 @
+ P+ _. j1 P; Q# S2 H3 X0 C; i- f6 nCluster Analysis and Knowledge Base system7 i1 ]" J/ j: {; \% S
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Information systems technology7 z/ R1 _" y' `
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Other related technology about data mining
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3. Computer Science and Related Technology
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Image and signal processing
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Artificial Intelligence
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Software engineering
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, j* V! Z* x1 Y0 ]- a3 g5 eSystems Engineering ' E3 p2 p+ `2 \3 v$ P
. o' S7 M, t0 [) oComputer Graphics
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Computer Application ' u( c& z b+ Z9 z' e9 a$ ^
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Control Technology ( n0 _* `# D, C( X7 W- L
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Network Technology
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Network security
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1 W6 e) y0 u& K" b& B0 bNumerical and symbolic computation! J# f9 e; x/ ] a! }- \1 `8 s
$ q2 T3 Q( w; H9 B# C1 o( ]Computer Modeling and Simulation
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' P; z" N6 y" ^7 v/ S+ gCommunication Technology
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2 h9 h O' ]' ~! x- N: @: J6 t% V. VAlgorithms and data structures
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Computer Education0 c+ X |: g# {: H' R7 ^
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Other Advanced Technology
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DBTA2010会议联系秘书处6 T7 d' m) Q m" B
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邮件: dbta2010@vip.sina.com, info@icdbta.org7 @1 J# Y9 o1 B5 z+ H
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