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The 2nd International Workshop on Database Technology and Applications (DBTA2010)9 S" Y" u) l( w% X
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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
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) M* ~& X7 O2 m0 Shttp://www.icdbta.org/3 k8 y; [0 S; ^/ q& u# {2 u1 ?3 N
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论文提交日期: 2010年8月18日) [# e0 r: N2 a: S7 Y, z& U; V: _5 g
& M5 g5 x) {& G1 {论文录用通知日期: 2010年9月 16 日
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论文修订版本提交日期: 2010年9月22日
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论文注册日期: 2010年9月28日
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5 U; l! t `6 y& ~2 V+ W" T1 o论文提交系统: http://www.icdbta.org/dbta2010/submission/
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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）5 a }+ W- Z4 m! K
6 @$ m+ R' ^8 G, X$ [: {' V+ ~, [IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc （录用注册后提交）; [5 |; p8 u5 R+ b: W% O. W, T
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0 r/ @! X8 g+ J: l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。: ~! o8 x7 _9 G% D* j
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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。+ o0 }% F8 ~4 l6 c/ k/ t
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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
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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。
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$ k: t' k6 _" q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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& D5 ?* p3 f! f' f, l2 t" g1. Database and Related Issue ' d$ [( |+ ~5 l; H
) k/ ?5 u1 p8 U; ?- ?Temporal Data5 @0 o. {: ~! q0 A- U# L
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Scientific Databases
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Business database software
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! q7 G% w9 k/ j0 S U) l! GComputer data processing 8 F q! l& N) b4 i9 G) h) R* K7 ^
: u3 V9 G- g$ z. TData processing services
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Data processing supplies
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Data processing systems
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Metadata Management
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% u8 a6 F m1 x, Y) tMobile Data and Information0 ~( |- W6 z6 F7 p- v
/ N3 U7 b9 y0 l$ B+ S lMultimedia Databases& k! F7 E) J" R2 }" c1 M
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WWW and Databases
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$ e1 q4 }0 A8 g0 m8 w" ^4 f% MWorkflow Management and Databases
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XML and Databases' f0 M/ o; }5 z. j( ^, P
0 n! z$ b1 Q1 x/ [Multimedia Databases Q2 R% q: t1 \ z
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Data modeling and architectures- h; M8 L6 [' D I3 I
6 I) w4 C7 |* _Data streaming, data provenance and data quality6 e1 D& W2 P) [5 P5 U" N+ w% u
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Data Security, privacy, and data integrity 0 r" A# u' r) T' K5 ?. t( h. p
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Web Data and the Internet
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" a' L, l$ ?# T: ^XML and databases, web services& i, ^# j+ x2 E. \" p
5 C( \2 Z" M8 S9 z# ySemi-structured data, metadata% o0 D, q* F. w7 }% v4 ^: P
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e-commence
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2. Data warehouse and Data mining5 A( b' N! w4 T+ _. D
+ _1 p1 y6 h" |! i) m! BGrid/Parallel/distributed data warehousing( b9 ~7 J; [! p) E0 E/ ?
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Web/multimedia data warehouses
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5 [9 i/ k7 l4 y5 W. F( j0 |Data warehousing and the semantic web
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$ ? l1 a* g0 fData warehousing with unstructured data
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Integration of Data Warehousing
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, `# N8 Q I. dData and knowledge representation$ w( {* C$ d: r& i4 W
3 w z8 C. [9 O, g3 a+ z0 z8 LLanguages and interfaces for data mining
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& y Y7 g0 L1 A/ N6 ]6 qData integration and interoperability
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" w, h9 s; G$ |3 sData extraction, cleansing, transforming and loading
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- j, k+ B& W% J' X: e- |- mData mining and information extraction2 y$ `; o+ C% S
; h) F: h# _$ a" `* v9 BKDD Process and Human Interaction
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3 h+ ^- ^5 r1 }" i9 GOLAP and Data Mining: L0 K% A& @$ b; v; [( C
- D. z! m R6 ^( E' t# R; F* ]" zParallel and Distributed Data Mining2 ^6 m. Y4 c9 l) M/ A' G4 O; D
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Physical database design and performance evaluation+ [5 ?0 t) D; @
0 V- i4 F- V3 j6 QQuery processing and optimization
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Reliability and Robustness Issues
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Semantic web and ontology4 I% n$ F. F+ t8 I, l. ~
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Software Warehouse and Software Mining# n3 r! I0 R8 S4 {. P. ]
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Social and mathematical statistics
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Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) 5 F3 ^' ~" W9 X1 d2 _1 L7 j& K9 w
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Developing a unifying theory of data mining * E, D. E8 C; ]
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Mining sequences and sequential data8 B) Y. R0 [( w0 |- W
9 e! h! \& J* qData pre-processing, data reduction, feature selection, and feature transformation
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Quality assessment, interestingness analysis, and post-processing
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Mining unstructured, semi-structured, and structured data
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: E7 I+ Q' i) N U% a/ nMining temporal, spatial, spatio-temporal data6 x9 n, J" S! K
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Mining data streams and sensor data
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) F9 H$ u, b& [& fMining multimedia data2 E& M+ p5 L$ O3 Z
4 {! }% ?* P( I9 \( E# Y& uMining social network data/ `! n% Y; X9 r* b* Q9 a
, V6 ^" X" O' k& p' ` {7 L" F( J; XHuman-machine interaction and visual data mining
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6 V* g2 `( U3 u) ?6 J" ]1 H. P# bData mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)% M9 ~5 T- F# z6 A. F5 `# X1 ~
0 g$ I: i& \1 O. WKnowledge Acquisition & Management
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Knowledge Modeling
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Knowledge Processing- [3 B9 e" e: t# p, x
x$ s; e; V9 _' mIntegrated KDD applications and systems ]7 y$ w# d: l; z; Q2 s$ Q" ]
' S: P6 Q! V. |5 G" [Business Process Intelligence7 l5 L" H4 V" O3 b9 O8 ^$ y
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Cluster Analysis and Knowledge Base system
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5 u" D" ~1 ?2 B6 dInformation systems technology. k. j1 t. W! y7 w5 }6 n* r
8 i8 }7 ?& y e+ C; c0 f% x5 h+ {Other related technology about data mining, S+ S6 i8 P. m: e3 x
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3. Computer Science and Related Technology
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- {! [* U4 Q9 ~! c3 s6 UImage and signal processing : F. u$ p2 p K, q0 Z7 R& x
( T% L3 {( s" }2 B6 QArtificial Intelligence
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Software engineering ; E( P: s) A- S m9 C
# C7 O2 p1 D) W& F3 H* q# @. qSystems Engineering
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. C' l: r+ f1 @# kComputer Graphics
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( q5 U3 L! v5 H: h1 rComputer Application 6 n7 u1 u* A" b& w9 a- k( K4 G/ L
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Control Technology
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Network Technology ) h* d' p7 x" z- E1 _' o3 n. _% G& D
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Network security ' Z7 h+ B* w1 r. z& F3 z
) f ]' Z' u/ k0 r3 w8 T3 nNumerical and symbolic computation, B1 w' g: m* a9 [8 Y
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Computer Modeling and Simulation
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Communication Technology # ^0 A3 r* G2 m3 u( i* E5 i
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Algorithms and data structures* @# V+ V8 k; x" P
% @+ \" C Z' b5 T, a2 I' [Computer Education1 q. j ^# [! B9 k6 O H; }
0 c6 J8 j. }+ K7 ^Other Advanced Technology
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( z, n) a3 @, O8 l9 _======================================. y* S% s0 K, H: T
( j1 c- D7 c0 aDBTA2010会议联系秘书处" K$ Z2 h7 V, C% W
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$ c% i9 q( M" p" S邮件: dbta2010@vip.sina.com, info@icdbta.org
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8 M9 m- h0 a! t/ j+ N. u电话: +86-15102769170 |
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