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5 I5 l* i. `" j, P: N( [The 2nd International Workshop on Database Technology and Applications (DBTA2010)/ [3 h' H- ^. g, L
9 H. j% k7 p! E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)6 T, u) W( b4 h6 g R8 a, {
. H. ?0 z: p; a+ n3 n s# S11月27-28，2010，武汉，中国 9 w6 P) E( M2 z. Y6 G
4 j6 T. n" G* D" X$ Xhttp://www.icdbta.org/. N; I, {. @3 T6 T
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论文提交日期: 2010年8月18日
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' r# H) B7 w+ S: A3 D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+ d" g4 [3 B* g
: n3 u1 |2 x/ f论文注册日期: 2010年9月28日
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论文提交系统: http://www.icdbta.org/dbta2010/submission/: Q! d. g/ c" u. d; D& k6 j- L- r
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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）! F( a# a; \, f1 v8 ]; Y) S2 c
0 L' u4 j: w( aIEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc （录用注册后提交）; U6 W! F9 H# d8 _$ z- ]7 [: F
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! r& S9 Q* m( J; V6 o9 a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。4 M" l3 X3 U6 B: B5 b. A
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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。9 W6 @1 l& W) b
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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0 c* S. b3 u# q. A# |: `
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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 G+ P4 R) x: g7 |6 k
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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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1. Database and Related Issue
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Temporal Data8 ]! e) _" A' n! i# B, b0 R
5 H( {- \: z3 S0 J4 i* b& J5 C0 [) K1 EScientific Databases
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% o3 D8 ?6 X) jBusiness database software% t3 M" V" _& e$ }
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Computer data processing b, k5 E4 C. A- {) W
0 {% M5 \# g; x! E' N& g4 _Data processing services
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# F3 T. ^: S. n. s9 Z# \9 o6 t$ ~Data processing supplies " A3 G) b. }% w& O$ B8 v
$ {: K# J; ^2 C- w; |: yData processing systems
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7 h" x5 k& x- b; E6 q* cMetadata Management$ p8 Z, u$ j; `2 U
- K& D. e. G' Y: eMobile Data and Information
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Multimedia Databases0 I0 O( x! w: N) C% n7 m. K
( @+ z9 R" }1 P9 g" a6 F% PWWW and Databases, d1 g8 ? x+ D3 G& \8 z9 H& ~
2 X- G8 G1 D c6 m# vWorkflow Management and Databases
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$ W: B& T9 u7 `" AXML and Databases9 S, y" A* J o: \ K" e$ h
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Multimedia Databases
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Data modeling and architectures
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Data streaming, data provenance and data quality
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f S- Y9 L {) u9 s$ LData Security, privacy, and data integrity
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7 V7 g |4 ^3 j8 c' |6 e BWeb Data and the Internet
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M* I: j! f5 X3 ]* EXML and databases, web services2 C0 p7 o3 Q. H. h! f9 S
+ L) g6 Z4 z) r5 r) Y% \Semi-structured data, metadata5 F' q" ?4 O( w
- }. u# ]* w" o6 k; ?& z! p8 Qe-commence# D0 i$ J9 n; `5 P+ E
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2. Data warehouse and Data mining% }9 r3 ~5 J# ]1 g) k
/ y4 ~7 G4 X, y9 x1 |- f: `Grid/Parallel/distributed data warehousing' |$ d$ N) F3 Z1 C1 O7 G3 N
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Web/multimedia data warehouses
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' D! Y3 M( ?) ^' k3 KData warehousing and the semantic web
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. C# U7 Z5 | J- Q, s, jData warehousing with unstructured data* J' x' Z- P% Q& z# |
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Integration of Data Warehousing
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Data and knowledge representation
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% m* A: S" S2 f. ^* `' MLanguages and interfaces for data mining
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M: V% X) ?) a) n& |Data integration and interoperability
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Data extraction, cleansing, transforming and loading
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Data mining and information extraction! |" N1 z' ~+ m. H
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KDD Process and Human Interaction
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OLAP and Data Mining
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! G, {+ @( Q$ J" r4 E cParallel and Distributed Data Mining) Q# A1 s b1 N! \; x3 o- ?% F
/ x3 h' L ^% Q& w& u2 r+ L I4 PPhysical database design and performance evaluation" K$ c4 j% h/ U* l
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Query processing and optimization
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+ f' I) F7 q3 T$ ~Reliability and Robustness Issues
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Semantic web and ontology0 u6 D: u# a8 _, y& {/ w
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Software Warehouse and Software Mining
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5 |6 M0 Z( o% ZSocial and mathematical statistics7 d0 z" W3 b5 W( u( v
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Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
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Developing a unifying theory of data mining . K n. e! u; O7 O2 R
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Mining sequences and sequential data+ @: g( B, n1 [' ]3 X9 ~2 h& X
2 s- }' y' A: z) b: I- q: OData pre-processing, data reduction, feature selection, and feature transformation
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Quality assessment, interestingness analysis, and post-processing 3 `1 Z: C* j9 l" G5 H3 c9 r
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Mining unstructured, semi-structured, and structured data Z2 z" P% c7 G! n/ s" ^5 ?
5 d0 ~! r7 L9 {; I" OMining temporal, spatial, spatio-temporal data$ s5 j% S" W' b& W0 b4 r
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Mining data streams and sensor data
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# v- ]5 C& B5 j# S, @4 x! c3 g7 _& f+ fMining multimedia data9 k' {5 A6 r$ [% A; w6 b
+ b* a& f( e) }5 a7 P% d tMining social network data3 v1 W0 J' h( h. x' R( l: s
; s1 W, J2 \' l+ tHuman-machine interaction and visual data mining
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: ]6 j0 Z9 ?+ M1 L4 S# F* TData mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)6 p9 E) n& R' P1 t2 P5 n
" N) i- a" E) M" K9 K; dKnowledge Acquisition & Management! M2 \6 k6 |' ]$ c
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Knowledge Modeling$ b6 z, u. c$ o6 y% U& v
w0 O" V! K7 o! u0 r- w8 f$ tKnowledge Processing+ G9 s& X v! d+ `# R) d2 C3 q
/ w# a- i" e. j: q( WIntegrated KDD applications and systems
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Business Process Intelligence' A! F7 T5 }" }, r3 e
) j/ B4 A- D* B9 ~/ t. M2 @Cluster Analysis and Knowledge Base system
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Information systems technology- v+ N: e' f8 ]
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Other related technology about data mining
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% U4 l( @/ E& I) d# ]3. Computer Science and Related Technology
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* m) B1 h$ M. ^. wImage and signal processing
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" j* }/ c! p k8 |; \! m1 `" w0 QArtificial Intelligence 1 `; U& }1 Z+ ~, E0 a5 m
4 l$ r% | W( d; R# O% hSoftware engineering B E9 j q0 z# E, u# P
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Systems Engineering
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Computer Graphics " _6 M% `4 |( {+ B5 N! ^" Z6 R
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Computer Application % r# e, J' r' R& a+ i; ~
7 H( \. j- W3 x0 A7 \9 {Control Technology
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6 R3 ~, L) F& y oNetwork Technology
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Network security ; U0 t7 V5 w/ w; k0 C ^: \8 Q
1 R M* r, Z/ aNumerical and symbolic computation
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Computer Modeling and Simulation
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4 e& o4 P5 A6 `Communication Technology
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4 m. D) ?/ M( CAlgorithms and data structures6 s+ b, |5 l6 Q5 [9 [6 O$ B
- x0 G+ @ p: {: ?5 u8 uComputer Education7 @) e, P0 B3 X, w4 ~' q
( n4 g( {. k& k( N9 s$ _$ v( xOther Advanced Technology
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+ i) g$ t: w& c7 \1 b3 o+ T======================================. I# |7 z1 y& r ?
: ?; P, g9 B# K; mDBTA2010会议联系秘书处
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1 q+ _0 p; u* _! W' R邮件: dbta2010@vip.sina.com, info@icdbta.org
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