The 2nd International Workshop on Database Technology and Applications (DBTA2010)0 O) J7 d! J# }
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)$ m( B, R! C' ^4 X) i7 \) z
11月27-28，2010，武汉，中国 ( e# b/ D [+ |" F9 e% E, lhttp://www.icdbta.org/ * R- C' q8 @/ A- M1 g' h. ?9 \$ `) o7 ^ # f" m' A. t+ i+ n: R7 ?0 i论文提交日期: 2010年8月18日# E2 y0 W2 z7 n! P$ _
论文录用通知日期: 2010年9月 16 日 ! }- V& T1 M! M0 }$ f# w; O论文修订版本提交日期: 2010年9月22日 * k; ]) ?' p! R$ ]4 m3 |; @+ d论文注册日期: 2010年9月28日 : m2 e. {: |/ j' A6 _( Q) y论文提交系统: http://www.icdbta.org/dbta2010/submission/ ( D5 M, p; `) x: ] B/ p4 d会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc（只接受英文稿件） 2 i$ A* D& v" R' M# j- Z! IIEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc （录用注册后提交）" c! d, l. J# P2 y$ B7 n" n
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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。 ; O% ]3 U" Q5 v6 I: E. F1 u: |4 y - H4 r& O! z5 ?5 S4 i2 l1 F$ R+ u# V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：! i: |& _5 x3 i- V; [
) a4 ]4 `! C/ l9 @9 w U1. Database and Related Issue ' \% L. P0 r5 yTemporal Data# j" \* Z2 u, E* X. t$ Q, L# f
Scientific Databases 5 r" [2 y: w4 v$ {Business database software! H2 ]4 l. a. r2 @! |
Computer data processing & {1 `+ r$ n" K, m0 K# ~# V2 ^
Data processing services " X, M: q% T- g8 P# X0 QData processing supplies - U3 ~( N/ w" V2 C9 d4 P
Data processing systems , O& R+ l Z* N& ^Metadata Management ( P- E% ]0 g. s7 WMobile Data and Information" i' d4 N$ b* C! ~) |2 n+ @
** Databases 8 V" L: S. y! i" d' XWWW and Databases7 a/ A/ f. [% \; w% {; _
Workflow Management and Databases 1 \6 X9 I ?2 K0 a+ TXML and Databases # U# C# D. |# \$ ?4 N" V% N** Databases 5 K6 Y4 w3 s. k6 t! ] O) yData modeling and architectures: u& e* M. m! n5 T- Q+ ]
Data streaming, data provenance and data quality6 F4 w6 E: C) ]6 U
Data Security, privacy, and data integrity " V, M5 G" J, @: ]( L# E$ j+ f
Web Data and the Internet1 y" K. _7 x3 i
XML and databases, web services5 A. |2 D0 n, y
Semi-structured data, metadata - t# A3 ~+ v C ^' Ie-commence) ]9 Y- s2 X3 u2 H- D6 f. C3 }
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2. Data warehouse and Data mining 0 A& F$ e! D/ u' _* t y* jGrid/Parallel/distributed data warehousing ) D' {: w/ U4 e/ r6 R# y) W/ g' n) l8 QWeb/** data warehouses $ x( @1 ~9 ?* @1 }9 ?3 ]" bData warehousing and the semantic web @* ~; U. ]4 M# a3 e9 B1 s3 }
Data warehousing with unstructured data/ B! ?/ O/ g4 G6 L
Integration of Data Warehousing 9 u% U' J7 U# k' {4 a7 BData and knowledge representation 5 {& E4 V' O; M% H$ PLanguages and inte**ces for data mining: j4 R3 I7 t, V, Q) d
Data integration and interoperability5 u! U2 U9 u! L! B" R
Data extraction, cleansing, transforming and loading( \# O7 f0 E5 G
Data mining and information extraction! A2 _% ^3 _& W) o# }" w+ B
KDD Process and Human Interaction# ^' Q- {- o( d* {2 t% \3 H
OLAP and Data Mining 4 k h3 [ N0 ]5 zParallel and Distributed Data Mining 8 _3 Q8 U5 |9 d; t! O9 g1 ^) NPhysical database design and performance evaluation% C5 c) a i/ @
Query processing and optimization! J* J- U8 E) l5 ^, C2 i
Reliability and Robustness Issues5 y0 j0 b* A5 A3 s8 Q( L
Semantic web and ontology 3 G! G8 R! O' o1 {( WSoftware Warehouse and Software Mining4 _9 I) R7 o+ g, M0 y
Social and mathematical statistics 7 c0 {0 m" a8 a) LNovel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) 4 g& ]- v( t6 @8 a/ S- n1 u1 TDeveloping a unifying theory of data mining 3 d5 z& z; I0 M' l' n6 S
Mining sequences and sequential data; n+ U* a: ^/ R/ x
Data pre-processing, data reduction, feature selection, and feature transformation 5 d3 H* j$ _% \/ R
Quality assessment, interestingness analysis, and post-processing - j7 O+ z, [* m) w- p! ~
Mining unstructured, semi-structured, and structured data% X1 M+ U" ?4 a( J) C) _
Mining temporal, spatial, spatio-temporal data % M6 O2 d& Q* N$ Q$ C& zMining data streams and sensor data. g5 s! u* J% C; c& L
Mining ** data 4 {- P; p& u5 {- {9 { S' f. HMining social network data) A: d& L. X' ^" X1 r; t
Human-machine interaction and visual data mining # H2 o* }0 x+ `2 Z5 o! j
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)4 @' r# q: C( V8 z' ` k9 Z9 U4 g
Knowledge Acquisition & Management / _, y% L& `2 ZKnowledge Modeling 4 u* f8 p a8 L+ b5 KKnowledge Processing/ U" u' `6 A/ z* \% {
Integrated KDD applications and systems 1 P, L! ~ V/ Q. m/ d( Z# d7 h
Business Process Intelligence 2 [" O) _/ Z' v" y( {8 @$ X0 e- aCluster Analysis and Knowledge Base system* z. P9 S8 `& H* ~
Information systems technology( i! q9 m0 S5 S% \3 {
Other related technology about data mining9 }3 p8 E2 L0 P, \. ~+ }$ ~
, ]% N, i0 d* D& ?6 Y( V+ m; ]3. Computer Science and Related Technology * x2 W" e9 f1 l
Image and signal processing ( _# r" `+ `! @) J6 aArtificial Intelligence & w" I# ?( e' s/ e& _8 R" j
Software engineering 7 Z4 P* ^4 V P+ [/ Z+ WSystems Engineering - \1 i9 Y! s1 J& ~: H1 kComputer Graphics 9 J4 c2 D- f. h9 y
Computer Application 3 b l5 [, T; RControl Technology ( L% a0 S+ Y3 h4 w( m2 z4 N3 `Network Technology 4 k: J. `# \6 ^) b i' A' sNetwork security / J* w! N7 r" t/ w) Y% H" s
Numerical and symbolic computation, R7 z7 z" B- ~ T2 J$ |
Computer Modeling and Simulation % Q3 M/ v3 K1 Q( z. F; |- ~* I: @; jCommunication Technology ' g% I, q* H* J- x+ K$ e8 v" U
Algorithms and data structures * w, C# o, ^4 v( i( n" i+ jComputer Education& f* K7 K2 n2 l; u# I3 @
Other Advanced Technology 8 T$ e) a' g$ p9 o& p z" z" x( i% r
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DBTA2010会议联系秘书处 4 p9 H4 _' e% I+ j! w$ @; h! G% B8 t" q
邮件: dbta2010@vip.sina.com, info@icdbta.org D& P' ^9 N" i' K: h1 f. Z+ t' ~2 Y2 B) n
电话: +86-15102769170 & H W9 u8 R, l# B- L======================================
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发表于 2010-5-4 16:05
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发表于 2010-5-9 13:35
