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The 2nd International Workshop on Database Technology and Applications (DBTA2010)8 {3 P- U9 ?6 K z! S; f4 n0 q
% O9 q/ Z+ H+ N+ }: ?8 Z# ]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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' J$ X8 S4 T/ s6 d8 N; |11月27-28，2010，武汉，中国
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+ D" o) w) z& q* v. \* T6 jhttp://www.icdbta.org/% y5 o0 m2 v; s3 v! ]
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; P8 @7 T$ P/ |6 g- c) v% `9 _0 O论文提交日期: 2010年8月18日% V, K2 d; P0 a1 _5 X" a; V8 h' M
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论文录用通知日期: 2010年9月 16 日6 W+ N. m2 Q' e& l& c3 }; Q5 r
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论文修订版本提交日期: 2010年9月22日
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! M- Q# Q( N' m8 {4 \. _1 i0 J+ l: ^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/+ Y- o Z0 }; d( V) g% ]4 t; m O
1 p! c& H7 a& ^- @! F/ M; C会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc（只接受英文稿件）, m2 D. h7 O' [6 X
4 @0 o1 g5 @5 v! p8 k- `6 ^IEEE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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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。
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$ `+ _0 t4 ?7 I! A w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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8 k* N1 W1 M7 P: X9 O. {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。5 P& g9 t/ V0 ? P3 ~& x
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( J; W" D, K) U b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：* z5 |' M7 K' ?/ l
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1. Database and Related Issue
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Temporal Data
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Scientific Databases* Z% y/ @) B+ I% j
s$ I4 d: x( U5 U# ]" a8 z3 NBusiness database software5 i! ^9 k0 n, V1 C7 I5 A% W
3 N- P& [3 T/ m, ?4 {3 r9 B+ EComputer data processing
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8 ~6 s6 c) ~* c9 K+ z/ a0 GData processing services ( b4 {2 H! S* e: k0 v
! u4 U/ ^" D, N! c1 \Data processing supplies . {6 Y6 N b* Q: {
7 v* v4 T3 x- R- R7 \Data processing systems, O1 [; H( n e7 v+ @9 U9 W" Y" [' F
' v" o0 q' h. B0 gMetadata Management2 k7 {( b7 l! `# o: f6 n& ^6 [- n
, _; w" j: t* J$ V; Y1 r0 g/ \3 I; rMobile Data and Information0 p3 S# t. m: X! {
. a6 d5 m" C3 p" o3 I% C6 P4 Y3 cMultimedia Databases0 T; R5 {: d! X7 R" k \
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WWW and Databases2 c& w9 s1 d2 p# g' c3 Y+ F
5 n0 \- F7 `( k* [8 C9 U$ l h4 TWorkflow Management and Databases
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XML and Databases
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1 g7 z3 f! P/ C0 HMultimedia Databases0 e+ i8 T4 m$ s$ w
0 m. v& u. V; R+ }Data modeling and architectures
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$ W8 j; s4 [+ b W: @. OData streaming, data provenance and data quality
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Data Security, privacy, and data integrity
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& K8 D) l$ S2 D, E7 V; C. UWeb Data and the Internet" y- ^& X$ l( l
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XML and databases, web services
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0 _" h( J( u% L2 e: D/ ISemi-structured data, metadata, J5 B; Z# A( z; o3 v& B! R/ n
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; ]4 L# V+ O2 j& }# |$ K2. Data warehouse and Data mining5 T9 L+ C8 k+ G9 a% a
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Grid/Parallel/distributed data warehousing5 z* r- A& T; p' p* K
7 y$ R6 k+ p* q+ C) ?. v' v+ dWeb/multimedia data warehouses* F. c* B( G, y7 D6 w7 [
4 } \; f2 m. L8 LData warehousing and the semantic web- [! f3 E8 }( D3 ^& `
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Data warehousing with unstructured data; t$ ?# y8 r; [! I5 v# j
+ ?9 [% {- l& J$ r* \4 d2 Y( mIntegration of Data Warehousing
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9 L' l, ~1 G+ F9 y0 {7 pData and knowledge representation. G1 b2 u; i! {+ K+ D, J2 E
2 H1 I ^! @6 |Languages and interfaces for data mining. t# c) |% ~( M* S7 _( y
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Data integration and interoperability7 E# _) t2 w2 ~. h) J1 T. G: l
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Data extraction, cleansing, transforming and loading
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9 F+ z0 J% y& n3 J g" HData mining and information extraction
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: H. K7 f( Z! [- Q, JKDD Process and Human Interaction
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+ V+ Y# k8 Z4 ?% |1 h, AOLAP and Data Mining; b2 v" [# P$ }/ r: S
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Parallel and Distributed Data Mining! w' Q7 N6 Z4 H
. K7 | M- \, XPhysical database design and performance evaluation
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Query processing and optimization
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Reliability and Robustness Issues8 H3 W: M; \ u4 a7 M& u2 b! D
; D3 Y# y! a; B9 D" D4 f1 NSemantic web and ontology( M! S$ S, E. V
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Software Warehouse and Software Mining
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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)
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Developing a unifying theory of data mining
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Mining sequences and sequential data
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Data pre-processing, data reduction, feature selection, and feature transformation ( c2 s3 j0 s5 X" U" Y0 l2 y
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Quality assessment, interestingness analysis, and post-processing 3 L' j) u/ `8 @: t. j
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Mining unstructured, semi-structured, and structured data
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Mining temporal, spatial, spatio-temporal data
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0 r% ~& [0 y9 R$ M" t( KMining data streams and sensor data+ Y7 e' I2 ?* U1 H
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Mining multimedia data
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Mining social network data. l* x, \; W9 I* O+ t
- i3 E, i7 c' z6 ]2 CHuman-machine interaction and visual data mining ) X. w3 l3 L ?8 q
. U+ c) i) J4 ]3 ^6 X8 `0 BData mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)) y; g' W0 v8 Q
& o3 p6 X# o! O& A, L; c3 HKnowledge Acquisition & Management4 u! \3 _. b1 h/ J) i5 ^" G
6 q9 a, B2 C# n1 `! r! C* qKnowledge Modeling
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, N" T. T5 f. L8 c* Z' J$ fKnowledge Processing; @; s ^8 b3 `2 L* n6 S( M t9 \
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Integrated KDD applications and systems
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2 `9 `4 H+ f! M! y" k6 RBusiness Process Intelligence
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% Z3 P/ [% ?; w% ]Cluster Analysis and Knowledge Base system; C/ n( f% g, f) [* ]* |+ Q
( R s8 D9 p- rInformation systems technology8 x! u" Q w2 O( Y5 p
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Other related technology about data mining
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3. Computer Science and Related Technology
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" z9 P! G$ g+ a$ Y2 TImage and signal processing
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& B. R4 Y! f, bArtificial Intelligence
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Software engineering & p0 u: y |; @. V2 e9 e# ^
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Systems Engineering . v- K4 U @. ]- _* S9 h- P7 `4 H
) K u+ Y: f/ @" B) m' ]7 yComputer Graphics + z: |4 v1 E' u/ g. A# H
; u8 B9 l) Y- M: k! D! l( y0 dComputer Application ( @, x/ u" C) E) J% {& f, [9 I- `
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Control Technology 8 R% j! q2 H0 S" z; g; k7 V( L3 n j
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Network Technology 9 D3 `9 [* Z" K& v) b& {7 _
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Network security 4 _/ h; y3 ~; Y8 H0 z, ]8 t* O
2 Z, `/ f- R C, N q, QNumerical and symbolic computation
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Computer Modeling and Simulation
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Communication Technology
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Algorithms and data structures
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Computer Education
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9 c! b6 R% Y3 I+ F ]Other Advanced Technology0 B6 ]& N, Z/ b w( P$ W/ R
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6 l- q' I+ a( y% R" i======================================
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/ [9 _( ~) h3 `) @; GDBTA2010会议联系秘书处: p! A% l7 r* D6 k
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邮件: dbta2010@vip.sina.com, info@icdbta.org' p" l! G2 `! [* B3 {) K J* g
K, c3 w" _9 o9 z$ x- t* f7 h5 K1 \电话: +86-15102769170 |
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