标题: 第二届IEEE数据库技术与应用国际会议-DBTA2010 [打印本页] 作者: power2010 时间: 2010-5-12 16:42 标题: 第二届IEEE数据库技术与应用国际会议-DBTA2010 The 2nd International Workshop on Database Technology and Applications (DBTA2010)) |( S; o3 {; L( i' E6 u# o9 _0 B& x
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)8 J; L) G9 a3 T2 z
11月27-28，2010，武汉，中国 - i2 @; P- j* P/ h0 W: B http://www.icdbta.org/4 u" R% H. ]1 K0 N& [$ h' }
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论文提交日期: 2010年8月18日3 n) }( Q: R7 m. B- n
论文录用通知日期: 2010年9月 16 日/ g2 _3 P/ c! i1 |
论文修订版本提交日期: 2010年9月22日0 _ t, T1 A; H
论文注册日期: 2010年9月28日0 f a) t* k) @! _- r. D8 S4 u
论文提交系统: http://www.icdbta.org/dbta2010/submission/ ; A( B& ]" { C+ }% A( t会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc（只接受英文稿件）* M0 R' b+ h+ X. k6 p
IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc （录用注册后提交）1 d4 ^ Q( r4 Y2 _
! ^2 v9 u5 C p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ISTP和EI Compendex检索。会议优秀论文将被推荐选入EI或SCI国际期刊专刊发表。9 O, e4 d, b ?( q9 [2 w( L
! @7 S3 T! Y1 _5 h/ v9 h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： ! v( E+ i# v& u" y+ r9 U0 J' o' Z9 y& ]/ N1 |4 M& D
1. Database and Related Issue ! P) |. J7 J7 n- s$ H1 Z* |
Temporal Data 7 {6 G& y% R5 o" e& i7 r! I) rScientific Databases# ^ U$ r* C+ L; _& A6 U4 n& c
Business database software . X* \. ]( \. GComputer data processing : d* A4 w/ D: n+ D0 v
Data processing services ) j6 F0 x+ g; AData processing supplies % o* c" _6 `7 h" w: w9 i" gData processing systems7 z0 B2 K( ^/ D. E
Metadata Management 6 S$ t/ h- L0 {5 l8 r8 r; L$ tMobile Data and Information- `# _" E" W0 u U/ x6 Q" q8 [
** Databases0 O' V# i3 A; J1 b2 T' y. i9 x5 p
WWW and Databases ( G) f' r4 u Y9 f0 W/ CWorkflow Management and Databases $ @4 A6 ?6 Q7 k$ E1 DXML and Databases2 j: E# r) z1 E
** Databases3 p) k1 F. f" L8 @% j
Data modeling and architectures ( ^/ f9 ~- f+ D+ Y9 cData streaming, data provenance and data quality V) |% p% Y3 F! i- V+ y0 XData Security, privacy, and data integrity 2 A' {0 l" u" [8 b
Web Data and the Internet( ~' \: W; J/ f
XML and databases, web services6 G- |2 I+ I$ Z) \5 w; s
Semi-structured data, metadata 3 F% N% g* E" p' |7 k# f8 fe-commence ( I+ d6 n+ ^" f6 b8 l x J! Q# E% R6 E7 C' M7 o: {+ ~: X
2. Data warehouse and Data mining7 u+ t; R2 |% ?- Q, R/ H
Grid/Parallel/distributed data warehousing9 t8 m! Q# N& [1 P( M
Web/** data warehouses. q- H/ i# h, Q4 K! ^# r. k7 }
Data warehousing and the semantic web1 {! M) t* ^) @- U. e( U
Data warehousing with unstructured data 2 i8 B' ~, X# N. jIntegration of Data Warehousing " {4 f x7 D: q' jData and knowledge representation% j$ h0 i2 g9 o
Languages and inte**ces for data mining 2 O( z, v; y' [2 r; H: g+ ZData integration and interoperability+ h% B6 s! s1 e: T6 |. L5 W5 [
Data extraction, cleansing, transforming and loading, ^6 Z. t7 e- [& U* K' a9 { Z
Data mining and information extraction 8 e$ P, U& a9 V$ vKDD Process and Human Interaction. A- R3 b7 }! |) Q a; y% X% b
OLAP and Data Mining 8 J( a9 I" G1 iParallel and Distributed Data Mining4 k3 N0 Z. p. z) j0 b
Physical database design and performance evaluation) Y, a0 z4 c7 I
Query processing and optimization4 h/ X0 F" k& ^( g+ O& F2 R+ f
Reliability and Robustness Issues 4 R! A F8 Q' ]; X+ K, _Semantic web and ontology d; Y3 l4 E Z6 t% w5 |Software Warehouse and Software Mining0 v g7 H1 ?9 O7 s8 ?8 S3 k" J
Social and mathematical statistics+ Y: b" s( t1 X Y0 F N
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) ( ^6 {& r; G* y$ ^" g: v
Developing a unifying theory of data mining ; |' X, K4 \: \; G0 C1 x1 R9 ~ ^# vMining sequences and sequential data ; X& A9 T+ a9 k) G* l7 KData pre-processing, data reduction, feature selection, and feature transformation 1 G' T! R1 C5 r: x* E# e' n4 b
Quality assessment, interestingness analysis, and post-processing " @, N8 M7 T" b# h7 |* p
Mining unstructured, semi-structured, and structured data # S' F+ N- O- {1 [+ N% n8 lMining temporal, spatial, spatio-temporal data7 o* a! \8 b1 K! \& U
Mining data streams and sensor data- K: A. A. T ~: o: f
Mining ** data* s X2 t3 P' y. G
Mining social network data8 u. R7 I! R- B' A9 D' ~6 N( ^
Human-machine interaction and visual data mining * c9 K3 @1 K4 s8 E
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc) ) N: h" a ?& q/ h; l) eKnowledge Acquisition & Management9 e9 D' i B9 t+ z# [4 {1 M3 N6 [
Knowledge Modeling " I$ G0 o5 S- o2 g6 [% T5 eKnowledge Processing 8 g' o+ q& Y+ C: t( B; TIntegrated KDD applications and systems 9 C& l* o/ [& U& R5 C& x5 t+ e/ sBusiness Process Intelligence ( Y) V# {( R) N/ Q+ c2 N2 yCluster Analysis and Knowledge Base system: q) Y% S5 s: M; [# p
Information systems technology # Q( S l8 B, T; s$ m2 eOther related technology about data mining / i1 g" o' a- j2 X. x/ {$ V. i$ @% ^ ( E* G' Y' m/ ?- ~. s3. Computer Science and Related Technology - N3 r8 ]: C( L$ ^9 G* CImage and signal processing 6 p1 M- |! ~$ l& @7 S: UArtificial Intelligence $ `- C: d- J- ~" B P8 F- }
Software engineering 6 X4 q0 y5 E' `' |% h
Systems Engineering ' Z5 @3 c$ {: T0 g7 VComputer Graphics $ G' t& k9 f6 E5 Y& k) i
Computer Application : b6 z& Y$ ~2 Q+ `: g; YControl Technology ' W4 B* d' m8 aNetwork Technology 8 O- b+ b' L+ _% w0 o5 z0 cNetwork security 1 `1 d% K( O- b& y$ g: Z
Numerical and symbolic computation& V/ R B" C5 W1 W# k t6 }* P( x
Computer Modeling and Simulation % v9 ~* ? E" F& I+ uCommunication Technology D; v$ b; G: l, T) vAlgorithms and data structures ! ?: r* Z5 ?2 Z" }' q5 L: G0 f3 X* `Computer Education ! v) Z j1 G; Z4 x) g& H5 TOther Advanced Technology - s' u3 K G; S# B1 c . y9 @( f+ l# O4 j======================================# i8 P' E6 X6 Y: q+ T
DBTA2010会议联系秘书处 5 F* v( j F' m/ A& A) V4 @6 d : Z8 d. s" R7 Z9 D& _$ A4 Y邮件: dbta2010@vip.sina.com, info@icdbta.org 6 ?0 e7 v% F" b: p! k电话: +86-15102769170 / j7 i+ T; g. q7 Z5 @) B======================================作者: zdshitiaogou 时间: 2010-6-1 08:39
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