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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: 2010-5-4 16:05
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)
' s1 q0 v- `8 y' e# n% ?7 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)) n* t! H- T+ A* T$ ]
11月27-28，2010，武汉，中国
6 \: L1 @. h* L* }7 }5 thttp://www.icdbta.org/
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* m# g8 {1 s3 C- g- y论文提交日期: 2010年8月18日$ G% B( t# h* {' ~
论文录用通知日期: 2010年9月 16 日5 L$ i, B0 d$ S
论文修订版本提交日期: 2010年9月22日5 p1 `- i' b; `* c3 f
论文注册日期: 2010年9月28日
: ]. Q0 N/ m$ h论文提交系统: http://www.icdbta.org/dbta2010/submission/2 ?* k- E( o1 |* e: q
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc（只接受英文稿件）
$ S6 y' s7 s/ m* p& v0 V  v+ e" V) rIEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc （录用注册后提交）& o4 e$ _  O  o) {4 D0 K9 M" z1 G

7 t) F8 `. ~" L2 ^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。
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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
% t4 U1 L8 C5 h! aTemporal Data
- ^. s6 s4 S# d' V! m0 j. _6 lScientific Databases6 Z1 K! A8 B+ w1 X1 n
Business database software) P5 {/ x1 g1 a! a
Computer data processing 9 ]: m6 N2 K5 ^+ P1 \8 |! |9 f3 ?& I
Data processing services
8 E  {# C7 Y6 f0 CData processing supplies 7 e3 e2 p" F* T
Data processing systems& V1 Y) j$ |6 e& q& k# ^
Metadata Management' e* U" o3 ^: x8 b- f6 s) I
Mobile Data and Information3 F/ m  a5 x- m
** Databases
0 N- m8 T8 t& n% T" S% s, _; x" NWWW and Databases4 x* y7 R& ?* n' M
Workflow Management and Databases
" I. D7 p- j, `6 W; HXML and Databases1 e, @  k% B- k
** Databases
  J- S3 g2 `. i5 j$ vData modeling and architectures
$ s( O3 c3 |, [7 o# hData streaming, data provenance and data quality
; e  I% B# U1 f7 K) O8 FData Security, privacy, and data integrity & N6 O, a( I5 f  K6 D
Web Data and the Internet
" K) w* }9 X% h' I8 W3 a8 {$ H2 BXML and databases, web services
, t% m! S. t0 |1 V4 A; zSemi-structured data, metadata, \- m0 E1 z  I2 {. m
e-commence
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& r$ [; u2 A0 @6 @  }% I, G8 _2. Data warehouse and Data mining
) _. o+ ~2 Q& _( I6 ^Grid/Parallel/distributed data warehousing8 B# z) G2 J7 @% F7 j! M( x8 t
Web/** data warehouses
) {( ]# B6 L% c& z# @& i* ?0 VData warehousing and the semantic web' u; y1 K; w7 x( `1 j2 x
Data warehousing with unstructured data* D+ T% }3 w4 S. l
Integration of Data Warehousing
2 d2 Q9 ^+ [( S1 a! dData and knowledge representation
9 j& T# D8 J- X* u/ W9 t: N: [1 eLanguages and inte**ces for data mining% |/ y; a7 B7 c6 Y2 {
Data integration and interoperability
: d" ^0 X5 R+ r+ v/ XData extraction, cleansing, transforming and loading
1 I6 {3 ^$ g9 }. a/ W0 |: Y( WData mining and information extraction0 n5 J/ n, Y7 g
KDD Process and Human Interaction8 P0 I6 B0 M& M, t4 ~: g
OLAP and Data Mining
. k& ]5 b5 \/ v" h# kParallel and Distributed Data Mining
$ H6 m; f7 Y9 {5 l9 N# n. J2 oPhysical database design and performance evaluation
! c! w& q! ]- d) F2 @8 h0 T& TQuery processing and optimization$ A* K: z5 m7 ]1 @- h0 t
Reliability and Robustness Issues
/ c6 P/ h, F# q5 w+ T: p$ sSemantic web and ontology+ [) [# ?8 V. v) m/ f: W) I2 X
Software Warehouse and Software Mining" m- l/ g) `# A4 l
Social and mathematical statistics
# V6 ]$ Z6 w* m& o  X/ ?* YNovel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
+ n" c; [( U" n5 I" Y( vDeveloping a unifying theory of data mining
6 M3 a, \: P1 X4 Z! n0 MMining sequences and sequential data
% E8 ^1 ?" b& o  ?0 E7 xData pre-processing, data reduction, feature selection, and feature transformation 0 V/ q3 R# K6 v5 H9 v
Quality assessment, interestingness analysis, and post-processing # S6 ?3 F0 K* G& ?+ ]. F
Mining unstructured, semi-structured, and structured data
3 p, [; T7 Z7 h0 j9 v2 PMining temporal, spatial, spatio-temporal data
1 G) D7 I( H% FMining data streams and sensor data0 J8 y* ~  B2 V$ p
Mining ** data1 D7 x% @$ e- @: `: d# P5 {
Mining social network data
8 [; e0 b6 I! L. S6 |( DHuman-machine interaction and visual data mining # X9 n: B! W' J- i
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
6 {4 ~; F: T$ wKnowledge Acquisition & Management, _2 u5 J! x3 \, I9 u
Knowledge Modeling0 T5 X* r3 A$ d- E* K3 z
Knowledge Processing
& ?8 `: q0 J6 G# ~$ mIntegrated KDD applications and systems : K+ ]3 S0 Q4 \' }0 R  x$ ?/ O
Business Process Intelligence. J9 I$ d7 h. S0 I
Cluster Analysis and Knowledge Base system
& _7 x) b$ h/ Z1 a$ JInformation systems technology
! F1 `& L  D1 c% c$ h2 g- mOther related technology about data mining& {4 y1 ]& \* X
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3. Computer Science and Related Technology , H4 I8 s, ^- I8 [+ M# C
Image and signal processing
6 N- l! e7 C0 v% A+ |Artificial Intelligence
0 }+ o' y( d: L. `% L; l5 gSoftware engineering
5 G/ q2 ]/ h+ LSystems Engineering 5 X" Y5 j3 g! i! c, K' w5 W5 t9 M
Computer Graphics - L2 j* g! M, C8 I* ]
Computer Application
7 l; q) X* v; R( v; H) c: KControl Technology - V1 y: F! d: i; z' f8 q. m
Network Technology
! X% _: D+ f! \4 r0 eNetwork security 9 K2 h0 v4 X9 f$ o
Numerical and symbolic computation2 D# [# t0 P2 c& I2 V% q
Computer Modeling and Simulation
3 B( V7 Z* z6 E! `+ X' GCommunication Technology 9 x7 X# j; o9 {; V- F
Algorithms and data structures! ], q' J+ m5 E. i0 ~( ]( E* x
Computer Education
7 F  K# D) S/ C# F" Y4 mOther Advanced Technology. h2 `- T; R3 u' i9 L9 }5 l' ^8 {
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) y. D% b% C$ lDBTA2010会议联系秘书处
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邮件: dbta2010@vip.sina.com, info@icdbta.org* a2 p5 T2 c+ {1 X3 j, P
电话: +86-15102769170
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作者: 数学者    时间: 2010-5-9 13:35
逛逛~
作者: liuxn_2005    时间: 2010-5-11 19:36
顶一下！！！！！！！！！！！！！！！！！！！！！
作者: wuyemin    时间: 2010-6-7 03:11
好东东~~~~~哇哇哇哇~~



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