QQ登录

只需要一步,快速开始

 注册地址  找回密码
查看: 4940|回复: 1
打印 上一主题 下一主题

[英文期刊] 第二届IEEE数据库技术与应用国际会议-DBTA2010

[复制链接]
字体大小: 正常 放大
power2010 实名认证       

4

主题

3

听众

18

积分

升级  13.68%

该用户从未签到

自我介绍
学、
跳转到指定楼层
1#
发表于 2010-5-12 16:42 |只看该作者 |倒序浏览
|招呼Ta 关注Ta
The 2nd International Workshop on Database Technology and Applications (DBTA2010)
2 L+ _: {; q, B  B$ A: _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)/ r; g$ h4 O# @" `* E# H
11月27-28,2010,武汉,中国 & ^# r; U& g# ~: S  C7 y0 l) P
http://www.icdbta.org/6 g, w  K3 r! Z, w

8 M# g7 ~6 E% T; F& `: `论文提交日期: 2010年8月18日
) i/ z& s+ X0 i1 I7 p6 I论文录用通知日期: 2010年9月 16 日
, x4 b/ ?5 x3 z9 U' {" |论文修订版本提交日期: 2010年9月22日7 y, }8 o/ v9 G4 W% E  y
论文注册日期: 2010年9月28日
7 ^; k0 {; C4 |  F" V论文提交系统: http://www.icdbta.org/dbta2010/submission/7 @8 i( m# D% l
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)6 u+ T* V; g4 C
IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)- ~/ f' I3 k3 h6 Z+ p
) Y2 M5 C+ x: I$ f6 G% m8 c7 z
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。% P$ Q: o; H! V3 W, R

7 a; i# y% V) D% g9 E2 ~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:
: O2 z# W5 d: M  Z( F: H9 t7 O& X% d: W* J& }$ b) v
1. Database and Related Issue 4 o4 P7 ^! m; j3 P7 V3 I
Temporal Data
1 Y2 E7 g. q. t) G" F4 ~Scientific Databases
7 a& A" k+ o% F) lBusiness database software
1 e- y2 T, t/ {$ W1 QComputer data processing / W/ M0 q( K% t
Data processing services
$ v# \" \+ P- a" Z) S. j; MData processing supplies   g* _5 ?* t7 F) ], `
Data processing systems
% W& ?5 T4 g4 MMetadata Management6 [0 Y; L' n8 C
Mobile Data and Information
5 ^: ~& K, F5 c' [* ?** Databases$ {: F$ K8 N% X. r" K. n' f
WWW and Databases0 B. i# G( s$ V
Workflow Management and Databases
+ p; M* r$ ^2 h6 k& H; R. ?1 t% yXML and Databases  y5 t3 l0 Y/ J5 G! D; h, ~
** Databases
# X4 U' c0 C3 Q  a2 e/ b6 DData modeling and architectures
6 b, y2 n; m$ RData streaming, data provenance and data quality& @2 T* d- Z) ^; I+ v4 P5 y
Data Security, privacy, and data integrity 8 x, X" a& y' j6 ~! B( X1 {
Web Data and the Internet+ x$ F/ }3 k( m2 B0 o
XML and databases, web services
* j6 w( E( ^" B' @: z1 h# ?Semi-structured data, metadata
1 D/ W) l' N; h5 {: P4 m7 c. We-commence. t% r3 {; i" j

$ K$ ~- X3 U7 m  [0 h: Z+ N2. Data warehouse and Data mining
8 r  C( Y# z- w1 |Grid/Parallel/distributed data warehousing
* Q0 }6 m4 h3 RWeb/** data warehouses
* H" c$ O" W6 d, T% zData warehousing and the semantic web
, w2 y: ]/ D2 g% RData warehousing with unstructured data
% {! l& X3 {; Z8 A: RIntegration of Data Warehousing
7 T, ~+ ]1 v; |2 f: i* U- ^Data and knowledge representation  p$ R4 }8 Y% k5 S4 s# |
Languages and inte**ces for data mining
# `  m- h( h5 \) i0 F- h8 CData integration and interoperability% u6 v/ G3 v' U7 g, M. D
Data extraction, cleansing, transforming and loading
. M# k; K: h" ~: z" J2 u! ]* vData mining and information extraction
9 o  l% z! ^* B) ^KDD Process and Human Interaction0 E# Y- u' z8 K  Y* ]
OLAP and Data Mining
+ h  O* [1 ~9 J+ L% P4 d3 Q: s" ?( wParallel and Distributed Data Mining' |* H" w1 s5 ?( d' I
Physical database design and performance evaluation
% L" [- J, j) w2 q$ w( z6 xQuery processing and optimization
% c) i; [* W5 w) oReliability and Robustness Issues# ~+ t1 k6 z/ K1 T# C& U+ j
Semantic web and ontology+ I, [" {' L) i. D7 i5 ]# e
Software Warehouse and Software Mining
% j% P8 S9 b- J+ TSocial and mathematical statistics/ V8 P% P2 t, D
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) ! e0 J. y& d- o6 T( Z7 g
Developing a unifying theory of data mining 7 I. u7 t, {+ U
Mining sequences and sequential data* ^2 d- Z& F+ `  K* C6 O3 z& o
Data pre-processing, data reduction, feature selection, and feature transformation
2 F7 v& i' w. lQuality assessment, interestingness analysis, and post-processing $ @5 X6 o. i7 _* R# y
Mining unstructured, semi-structured, and structured data
& ^- E2 I' M7 R8 G5 wMining temporal, spatial, spatio-temporal data
% V2 G6 P& y( V9 rMining data streams and sensor data
9 U6 @; s% J+ v5 Z3 WMining ** data
2 O' ^& u4 e2 d7 I% iMining social network data" i: z) R) K* n& U+ ?
Human-machine interaction and visual data mining
0 @, o" r( w' k4 @" Q# ]" {Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)) V3 q1 R8 C, T2 q% Y3 d6 J
Knowledge Acquisition & Management, w& ^1 q3 }: i' C. n9 ]! V
Knowledge Modeling( O# q3 Q3 ^7 E) |! R, k( h
Knowledge Processing
: h3 I4 y) k5 t8 ?Integrated KDD applications and systems ) J& n3 g& D7 c7 T, F
Business Process Intelligence  K! S8 z& j- t: n* W
Cluster Analysis and Knowledge Base system
& y, k: T! c4 I. T$ q3 a( Y8 eInformation systems technology
5 X! h* T& U: w) E! w+ L  b. JOther related technology about data mining
) j; D3 u; Q" u+ x# P% |' H) p7 y0 A" U+ u& V, R! G& Q8 ^
3. Computer Science and Related Technology - t4 q* F. O: v' w
Image and signal processing
* J/ A8 I1 A& K( c0 T% ?& {' ^Artificial Intelligence
* [+ \, R, {( M: F( MSoftware engineering
& F3 C9 ^4 l$ K) y  [  {" E$ jSystems Engineering
! Z0 A, m. ?! H/ vComputer Graphics : |# L/ x$ e4 P: ~" A) h% B& M- t
Computer Application
& U, ?. l0 s0 V3 N6 H) xControl Technology & u# G/ [8 E- Q
Network Technology % ?9 N/ X" A* `5 s: G% q
Network security . T/ f/ x1 a6 R( {7 i. |. x9 }
Numerical and symbolic computation4 Z) |6 F- E8 Y9 |, V
Computer Modeling and Simulation
. y9 P+ f) L+ @( ^  kCommunication Technology
# B6 O7 d9 }* f8 {* C1 F/ Z2 aAlgorithms and data structures: [; `) P5 a* ?3 r0 }
Computer Education
8 Y/ D5 [. p8 M% q, m: K6 W* zOther Advanced Technology
" p8 n' |: ~+ O. U% G' ~8 R
& q- D2 h; y9 J6 I2 n  G5 l======================================( g$ I- z- ~* I2 [. u7 n' h' E
DBTA2010会议联系秘书处; O6 M9 s- l5 j- ~2 s) Q
+ X0 L. `+ n! a+ b4 h' G
邮件: dbta2010@vip.sina.com, info@icdbta.org7 V( i# f7 c- J$ P; ?
电话: +86-15102769170, E8 ?/ s) P( C/ Q: h  P. L
======================================
zan
转播转播0 分享淘帖0 分享分享0 收藏收藏0 支持支持0 反对反对0 微信微信

12

主题

6

听众

1069

积分

升级  6.9%

  • TA的每日心情
    开心
    2013-9-29 18:42
  • 签到天数: 36 天

    [LV.5]常住居民I

    新人进步奖

    群组数学建模保研联盟

    回复

    使用道具 举报

    您需要登录后才可以回帖 登录 | 注册地址

    qq
    收缩
    • 电话咨询

    • 04714969085
    fastpost

    关于我们| 联系我们| 诚征英才| 对外合作| 产品服务| QQ

    手机版|Archiver| |繁體中文 手机客户端  

    蒙公网安备 15010502000194号

    Powered by Discuz! X2.5   © 2001-2013 数学建模网-数学中国 ( 蒙ICP备14002410号-3 蒙BBS备-0002号 )     论坛法律顾问:王兆丰

    GMT+8, 2026-5-27 21:33 , Processed in 0.445145 second(s), 58 queries .

    回顶部