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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: 2010-5-12 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)
+ E" R# q2 w# @1 i* l6 q+ j: E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)+ q; Z- B9 V0 v1 e6 l
11月27-28，2010，武汉，中国
1 i0 N3 C/ ^1 E- m2 g& w; Qhttp://www.icdbta.org/( u, }$ d5 ?! d5 z! a( I! Q# O

4 n' E3 }( a" c  `( X5 d8 E论文提交日期: 2010年8月18日
' [" u2 c) m- }* L论文录用通知日期: 2010年9月 16 日
5 [/ R' f6 B; x$ t! J4 o. v1 [: p论文修订版本提交日期: 2010年9月22日
6 V9 M9 |& n3 w( Y6 U+ t论文注册日期: 2010年9月28日" |) ?- R0 V3 H6 S; i
论文提交系统: http://www.icdbta.org/dbta2010/submission/4 V: ?' ~. X& o: \, X: ~
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc（只接受英文稿件）
7 V' i9 u; c/ @4 R5 a9 K* h' IIEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc （录用注册后提交）7 z9 `9 n5 w8 h

1 f- B2 e2 z& Y7 c! X9 e3 \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 4 \6 p  P6 p2 h8 n: O8 r
Temporal Data+ K8 X$ w" b  C% z- Z/ H7 g
Scientific Databases+ Z. X+ C( P7 N& F" W5 n) X
Business database software7 _1 G$ s: y7 v( \3 B  L4 k
Computer data processing
( N! W$ T) Z) Z+ L" GData processing services - }: p7 H7 I2 D5 [% }( B
Data processing supplies / s; S. x( n, u# k" [
Data processing systems- R! A2 j- x7 K; ?
Metadata Management% `9 B2 L; p7 N/ j2 m& O
Mobile Data and Information
" W: V( P# q1 S% F** Databases0 }, [4 t# c: r4 i2 w' }5 i6 k! d8 s5 `
WWW and Databases% k. {) R) O6 ~  N, e; w# @
Workflow Management and Databases
1 E6 ?: v2 `! n& m' \: |( \1 xXML and Databases
. L; e: o8 C4 b9 V3 H; r  ]** Databases
5 C/ ?' S1 f" n7 T3 m" rData modeling and architectures) q, t5 K; _- t5 I: {2 z
Data streaming, data provenance and data quality
3 d: K: e; f  m9 U' i2 nData Security, privacy, and data integrity
6 Z5 B" G" c' ]- h( o2 V0 RWeb Data and the Internet& B( E1 X* e  V7 H6 u
XML and databases, web services. }; Z2 z0 y- `3 @% C; \9 `$ k
Semi-structured data, metadata
/ y9 u% s3 \. y0 L: O2 ge-commence
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2. Data warehouse and Data mining( V! |, R, S9 U% u  G$ I
Grid/Parallel/distributed data warehousing
  i8 R0 [9 l. ?% J, C6 pWeb/** data warehouses' j% `& w: o5 D7 y2 {
Data warehousing and the semantic web
$ i& E2 d3 @: {/ t) `Data warehousing with unstructured data
! T6 C) N9 X  X9 F' J  f5 }Integration of Data Warehousing
. j- @4 z( s+ |Data and knowledge representation7 L1 D: x* z+ Z+ H
Languages and inte**ces for data mining6 u" B( |! a7 a) {) v+ i! s& Y
Data integration and interoperability
; N  F  T" T! w, k) SData extraction, cleansing, transforming and loading
+ i4 W: ^# Q( B. xData mining and information extraction
* P9 N6 z% S$ t: K1 O3 WKDD Process and Human Interaction. s5 q& L4 ?( D' S# e# W5 T
OLAP and Data Mining
! A% ]5 m! |% N  iParallel and Distributed Data Mining/ U7 K* Q3 o7 K* i$ b8 {
Physical database design and performance evaluation: {  _9 O5 T$ U0 e) |" B
Query processing and optimization5 m( ~/ b+ B1 l0 T& \$ U
Reliability and Robustness Issues6 E2 |  S1 m- s/ L
Semantic web and ontology9 H" F+ }, k  E4 D
Software Warehouse and Software Mining# b; n5 r6 d) F
Social and mathematical statistics
8 g2 \: ^, `8 U* Y$ {# fNovel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) 7 n7 F5 z3 Z2 R+ B/ ^  G
Developing a unifying theory of data mining 3 M3 [; q' O( q& Q" g/ ^; _8 J
Mining sequences and sequential data% k3 j% I8 z, a
Data pre-processing, data reduction, feature selection, and feature transformation 5 t8 G- P: W4 ~; L: K( {
Quality assessment, interestingness analysis, and post-processing
& ^' E+ r. z3 o6 Y6 ZMining unstructured, semi-structured, and structured data0 ~: m( R4 U6 C; O/ z$ a- n* Q
Mining temporal, spatial, spatio-temporal data
( E9 D5 e3 o' kMining data streams and sensor data& n% @* m: Z: g0 u- S; h
Mining ** data! B7 @# l+ y1 y4 n' B  T
Mining social network data
! G* N9 |* a3 r! a( SHuman-machine interaction and visual data mining 5 d+ r5 a7 F6 e
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc); ~5 T1 n0 g( H+ {" [
Knowledge Acquisition & Management
0 ?2 {  q( z( Y0 w: r; s7 g! GKnowledge Modeling' R+ {9 Z; I0 z# b, l! Z7 Q
Knowledge Processing2 L$ |3 f! B+ [  _# u, l7 i
Integrated KDD applications and systems 2 p3 ]+ Z# j4 u( A
Business Process Intelligence
  x4 _; r1 Q" K$ RCluster Analysis and Knowledge Base system
7 V: ]& a. s/ q0 ?Information systems technology  X" V9 z0 g  q2 V  [' v( O8 p
Other related technology about data mining' O6 k4 g7 M: f, Z, @

0 a$ M) ~- C2 ^* C$ E9 @; e1 {3. Computer Science and Related Technology
  Z! z3 @8 @7 h3 _3 v0 ]Image and signal processing
/ n3 g7 L& O, }( LArtificial Intelligence 3 T: ]  G( m8 j- l
Software engineering 6 M5 x0 Z, r! ?% e: y
Systems Engineering   D) L5 j$ Y6 ?5 E
Computer Graphics
3 f4 L; R& l7 q5 E, iComputer Application 8 _% R1 @; }  E% x0 l% K
Control Technology # M2 P7 ]( n2 s+ G* L
Network Technology : q  o, j, n- [' s" F& H
Network security # ~- l: A" d+ j/ R: S2 B( x( [& t; ]
Numerical and symbolic computation
* O6 C. ?) H( B% v  LComputer Modeling and Simulation
! ?: X) Y3 |3 w/ {% }+ g, _Communication Technology
6 Q* q3 w! b9 Z+ Y0 I" }9 Y) o# aAlgorithms and data structures
' a7 ]. [4 w6 n7 ~% f6 {Computer Education8 e! Z" h6 @' {$ _# Z5 K
Other Advanced Technology
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; `. g3 [6 w) r1 @======================================+ X+ Y- x1 h$ H  h
DBTA2010会议联系秘书处
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# s: b5 z" \2 A  r; d% a$ r5 M' @8 y邮件: dbta2010@vip.sina.com, info@icdbta.org
4 m4 Y$ O: {1 k. r! W电话: +86-15102769170
; v- P& l% c+ c; f) {======================================
作者: zdshitiaogou    时间: 2010-6-1 08:39
抢沙发了。。。。。。。。。。。。。。。。。。。。。。。。。。。。



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