第二届IEEE数据库技术与应用国际会议-DBTA2010

power2010

The 2nd International Workshop on Database Technology and Applications (DBTA2010)
/ u: T8 c) y- X. X3 T6 f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)
$ U- S% J# g# V" b& h2 c$ F11月27-28，2010，武汉，中国
3 P/ j* L( a; u# h% {http://www.icdbta.org/

& y2 f+ ~6 C+ O! T( y7 E# d; c) R论文提交日期: 2010年8月18日
论文录用通知日期: 2010年9月 16 日
论文修订版本提交日期: 2010年9月22日
论文注册日期: 2010年9月28日
$ P& z) Z* \5 g8 K- M  J% J5 p( P0 r论文提交系统: http://www.icdbta.org/dbta2010/submission/
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc（只接受英文稿件）
: ?# G. s- }; y+ zIEEE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。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。

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：

# K9 u& d0 k4 @9 _+ I+ H1. Database and Related Issue
Temporal Data
$ C% C8 ~5 i4 RScientific Databases
Business database software
7 Q$ k( g- Y5 ?/ z- M1 M4 o- T6 D0 zComputer data processing
. h, b$ g5 Q0 _0 ~7 |4 v8 oData processing services
6 k6 i) C) @2 }; S* q1 K8 EData processing supplies
  D& @' N# |0 n/ z8 ^2 T6 W, UData processing systems
: o. `- `( G3 z8 P& xMetadata Management
Mobile Data and Information
4 d4 J; v: V9 ]' c4 }9 f6 t+ M% x** Databases
$ h7 v, f$ k0 [2 }  n/ c& t% OWWW and Databases
7 o% N1 V! p# XWorkflow Management and Databases
! n8 b+ a' K% T* HXML and Databases
, _2 a0 p2 g+ ~: C** Databases
Data modeling and architectures
% l6 l, m  S5 x0 |Data streaming, data provenance and data quality
9 m' w( s0 ]. FData Security, privacy, and data integrity
Web Data and the Internet
XML and databases, web services
- Q& ~" ~& z% M" g% oSemi-structured data, metadata
; b% K" d3 u) O: D  R3 {e-commence
8 N- A1 O6 n' F* W
3 P+ w! s+ M. D: c/ n4 ]( l: {) h2. Data warehouse and Data mining
8 E0 t; Q' P! h. `5 }, f! g( HGrid/Parallel/distributed data warehousing
% g1 s7 C9 i+ n8 R! IWeb/** data warehouses
* _$ ~- i- {  p" AData warehousing and the semantic web
Data warehousing with unstructured data
Integration of Data Warehousing
Data and knowledge representation
Languages and inte**ces for data mining
% s1 d( ^0 h0 e/ C  Y& @Data integration and interoperability
6 ]7 e8 V$ E+ ~1 G9 ^; C9 tData extraction, cleansing, transforming and loading
6 Y. y! l' l; q- x8 i& j* o6 EData mining and information extraction
) k/ [3 A/ ]0 X6 X" ^  RKDD Process and Human Interaction
0 \. Z% d+ R* GOLAP and Data Mining
2 w  p3 A# q4 q! sParallel and Distributed Data Mining
Physical database design and performance evaluation
# M8 j' Z6 c+ v& b3 LQuery processing and optimization
0 m) e  I! G5 `8 T  Y- vReliability and Robustness Issues
Semantic web and ontology
7 i( Z  [, J) uSoftware Warehouse and Software Mining
Social and mathematical statistics
5 j  w- G, B; A# VNovel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
Developing a unifying theory of data mining
Mining sequences and sequential data
$ O* q2 c6 ~) {% L  k' {, GData pre-processing, data reduction, feature selection, and feature transformation
5 S( y5 |; ?2 Q* JQuality assessment, interestingness analysis, and post-processing
2 R+ s& C6 J! v) D  lMining unstructured, semi-structured, and structured data
Mining temporal, spatial, spatio-temporal data
5 C& M. N- |. P1 }) hMining data streams and sensor data
" I5 o/ H& L  w7 U) g# K& ?) rMining ** data
& [- b% K! T& R5 T2 _Mining social network data
Human-machine interaction and visual data mining
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
Knowledge Acquisition & Management
Knowledge Modeling
# b  D# C% x2 KKnowledge Processing
$ {- W2 S$ P: k( L" _; f7 tIntegrated KDD applications and systems
# r: P' J  Z4 k, I5 B0 L* O. aBusiness Process Intelligence
Cluster Analysis and Knowledge Base system
Information systems technology
, C- l  A( q& {, m/ \Other related technology about data mining
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: P7 f) A$ W" `4 j5 p# M# Q/ k3. Computer Science and Related Technology
Image and signal processing
# C+ f' i( J4 \% q) ~6 EArtificial Intelligence
Software engineering
  ?* w& H5 \- S- ?6 j' HSystems Engineering
Computer Graphics
Computer Application
Control Technology
1 X0 _" H& \) m; D% W1 TNetwork Technology
! |8 m$ Y' w2 ^4 [Network security
9 _1 ?+ y* ^% \* j# GNumerical and symbolic computation
- L* \4 A( F. K: w- J) ~0 EComputer Modeling and Simulation
1 i, r1 j; E4 s  p& WCommunication Technology
; o: g/ z; x  Z1 k9 K6 e" E2 qAlgorithms and data structures
; m) e1 X2 W3 ?Computer Education
: t) E. m0 ?5 t# U3 j3 m3 gOther Advanced Technology
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6 S2 t! ~. G1 v: eDBTA2010会议联系秘书处
5 E% w0 n: J# s/ U( ~. |4 a
& }! e  g% f1 p7 V邮件: dbta2010@vip.sina.com, info@icdbta.org
电话: +86-15102769170
+ H3 }1 j, ]/ b7 ^, l( H% G======================================

数学者

逛逛~

liuxn_2005

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wuyemin

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