The 2nd International Workshop on Database Technology and Applications (DBTA2010) / s. A3 m$ [6 j1 n/ B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) 9 T( T9 Z0 _0 c* G; ~11月27-28,2010,武汉,中国 2 z l+ f# g! A- _6 G2 N http://www.icdbta.org/ , E! [; _; ]' @' C ) H( @# D) x6 b% \/ U3 M论文提交日期: 2010年8月18日! j- S8 V7 s9 L: w3 h* W
论文录用通知日期: 2010年9月 16 日 ) }5 G9 ?9 m, D% M; N& G5 |. A3 Q论文修订版本提交日期: 2010年9月22日3 S. C8 l7 y9 t5 M- J% f& z& V9 C- ]5 |
论文注册日期: 2010年9月28日 & s" h. l8 ]( ^论文提交系统: http://www.icdbta.org/dbta2010/submission/9 B N$ u( N! F7 z( s
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件) 1 \0 V" B- c% a3 X3 BIEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交) 7 K; T& E% G# g* y) ^; k, n ; ]- e- B3 J3 e) G/ d6 j, A! J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。* l) O! G5 `. v$ M- b
1 x3 g- s& c2 m% 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:/ w- K9 V7 g n3 B# `# K" v* u
3 e1 A% ~1 I. w# W$ ~1. Database and Related Issue # J* C/ @3 \" J8 A$ Y1 T
Temporal Data1 r, M2 a) ]) h
Scientific Databases, \" H! P) K) G. R2 F
Business database software ! C# o. T8 H( a" CComputer data processing " B* N% q( f! R$ Z. W: D. M5 d
Data processing services $ ^' S/ t$ B2 `# b3 rData processing supplies . I* f% N; X: P8 NData processing systems / S/ l$ Z0 M4 Z* NMetadata Management! Z& w" }% A$ j. G% @
Mobile Data and Information : D. z" W4 m3 l1 m** Databases . j# T( u: N3 mWWW and Databases & D( K. h* d2 e" V, jWorkflow Management and Databases . a' e% |1 h1 j. ~) A C7 `3 BXML and Databases 1 b& T1 x2 J7 d1 T5 Q8 D/ g, ?& M1 v) e** Databases. a, ` {5 d; h+ \% z( u
Data modeling and architectures+ F. |! Q6 n4 H1 q' a! ]
Data streaming, data provenance and data quality8 w7 b! I; |1 ?/ ?! t7 s+ u/ u
Data Security, privacy, and data integrity $ ~ {$ T( P: K4 A8 C1 x
Web Data and the Internet( Q8 K: c2 J* f% V& L. |& v
XML and databases, web services1 a* c% S$ I) b/ L
Semi-structured data, metadata ! {7 u+ f0 x Y: K' R9 ~/ Ze-commence ( V3 W, H" Z* U" L' Y/ z( t, z$ B# s; M: f$ S p
2. Data warehouse and Data mining + h4 P/ Y6 J. k% i$ D! T) I7 y5 NGrid/Parallel/distributed data warehousing # P% \8 N4 b dWeb/** data warehouses , l3 C4 Y5 ?% e! z; g3 qData warehousing and the semantic web# y( L2 E6 S# S9 S4 v7 s' h9 U
Data warehousing with unstructured data+ W1 |0 _& @+ c% }3 }* ~! E
Integration of Data Warehousing 0 U+ K3 E4 l0 e4 A" P/ s6 U+ }5 y! QData and knowledge representation' J9 A$ T7 @+ i+ `" O1 Q5 I
Languages and inte**ces for data mining9 m8 S% z; E4 R: C: p w
Data integration and interoperability 2 p7 @9 D* T2 B9 W0 gData extraction, cleansing, transforming and loading 5 X, j" c! s j. R( z7 E+ ]7 t \Data mining and information extraction . L% E, i' O. a i( A! A `KDD Process and Human Interaction 8 q7 r& b& q: \0 ]4 _3 @OLAP and Data Mining - j/ D, A9 C" T4 Z. S% HParallel and Distributed Data Mining0 i7 y9 M. }! ~
Physical database design and performance evaluation1 W+ J+ t9 n H5 p% ^
Query processing and optimization' m2 P: W& ^; A' ?1 \
Reliability and Robustness Issues , `- A9 l+ Q2 \( g1 M6 V3 oSemantic web and ontology 4 [. R9 R$ o9 w& w. KSoftware Warehouse and Software Mining / T$ S0 h) j: f: ]( \ oSocial and mathematical statistics 2 T' @+ \- x+ v! [8 F$ ?8 ~Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) J, ^% T5 G6 m, P
Developing a unifying theory of data mining ' ~5 W4 B/ h6 _$ ]9 w6 GMining sequences and sequential data+ K9 ?9 l& h7 v% r/ y; V# E$ T
Data pre-processing, data reduction, feature selection, and feature transformation . [ ^% ~! J4 U" O* h( gQuality assessment, interestingness analysis, and post-processing ; q8 U8 k" Q7 r, D q- |+ n8 \
Mining unstructured, semi-structured, and structured data $ H! S( O. `# q5 qMining temporal, spatial, spatio-temporal data , h5 W+ o0 |8 E5 U" J2 GMining data streams and sensor data ! N/ H& Z2 _: c, H# C( M. R3 x. MMining ** data 6 Y8 ^* X% O2 `& m: C4 l. qMining social network data, I4 Q1 W: [# O7 {! _. ^# @
Human-machine interaction and visual data mining ' O8 K6 `+ U8 `8 v, F
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)6 o7 m! ~/ c- p9 g7 v
Knowledge Acquisition & Management, r# _1 ^! y& i, q) x2 H2 x
Knowledge Modeling 7 A* G5 L4 Y) M& l, u) u; K% GKnowledge Processing ! ]* e8 n0 u$ f- Y" oIntegrated KDD applications and systems + Z. E2 }+ \0 ~5 f5 A' z- D3 u/ nBusiness Process Intelligence : l; K& ^+ r1 V( V9 e* LCluster Analysis and Knowledge Base system - M6 r5 P4 [4 F, n |Information systems technology ( |1 H$ k! G( P) \/ a# A/ DOther related technology about data mining9 J& d N+ A# g3 \
, G* K( c5 q4 C0 X3. Computer Science and Related Technology + J g7 Y& Q. K
Image and signal processing ) N& L0 Z/ m; x+ y& x# Y* QArtificial Intelligence . c2 Y \; j! ^5 P' @$ S. @0 USoftware engineering ; K; x2 H5 { |- O4 D3 k
Systems Engineering 6 L" K# B4 q+ K- O5 MComputer Graphics $ ^$ f( g- `9 {
Computer Application " R5 X$ v$ S4 X V6 bControl Technology 0 s: F( {7 v3 p3 k9 t
Network Technology * D7 v- t8 m: I4 j( b, L
Network security : J O1 s5 ]1 v6 F$ ^0 Q4 @Numerical and symbolic computation1 V& O' O0 }: M+ S9 _
Computer Modeling and Simulation 9 E, X! z: t X& s- c2 c+ u2 @( C: \Communication Technology 1 a+ o, k% d& O- c
Algorithms and data structures2 O) @ R! v. l- \
Computer Education 0 ^7 K) a7 N; `& o( {1 D; uOther Advanced Technology ! M+ L' Q, r$ u' w: P; A4 L; u8 _% e4 t
====================================== k1 C6 w0 [& u5 D6 ], C Y
DBTA2010会议联系秘书处 % y9 [( f: i% }% g. t, S0 T! j+ S# z. F' F. `+ ~
邮件: dbta2010@vip.sina.com, info@icdbta.org, S2 Q6 q0 b) L; F& ^- L
电话: +86-15102769170+ }% u) R5 Q( n
======================================