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[英文期刊] 第二届IEEE数据库技术与应用国际会议-DBTA2010

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发表于 2010-5-12 16:42 |只看该作者 |倒序浏览
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The 2nd International Workshop on Database Technology and Applications (DBTA2010); k& x9 _4 ]# F: L+ p: d
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)
, |, B* H, `! y11月27-28,2010,武汉,中国 * c1 ?8 u; t" T
http://www.icdbta.org/, k$ T; u, R9 r. P  A1 |9 ]. ~

: T# |# t1 Z6 e3 }论文提交日期: 2010年8月18日
, Y5 v2 V- d9 n) X# V论文录用通知日期: 2010年9月 16 日9 R# g8 M" }  ~6 x, I
论文修订版本提交日期: 2010年9月22日
- y# v* O# d) p$ x1 S9 N# H论文注册日期: 2010年9月28日9 Z3 b+ L  O, k) A
论文提交系统: http://www.icdbta.org/dbta2010/submission/
. \4 w' c- s0 Y" E$ @2 a1 \4 E会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)5 j0 D4 N8 ^9 l1 g- o
IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)
6 ~  X0 |4 d3 a5 [7 P
' q0 T1 w4 M& C. s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。6 {, G7 R, e7 ]8 P& w* W
, {* J* Y3 ]2 [, f$ c* ]4 E
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:$ W7 {% l$ F0 I% ]0 G1 q/ F8 {8 P* R- `

; ?# ^1 W& j, p) ~1. Database and Related Issue
+ ?) o1 h% [9 [! I1 rTemporal Data
$ R1 r. J1 u) y9 h+ h4 CScientific Databases& g& {6 V0 p% e. K4 `: R
Business database software
# D  B% d3 f* v" s5 ]& iComputer data processing
, ^2 p9 X3 n6 X. \& h3 _  X( s3 `Data processing services
7 ]$ k+ v$ J7 S$ }: R0 l+ _  ~Data processing supplies 2 y8 g- M1 G6 i8 n- H6 e  c* @
Data processing systems
1 Z0 `$ K1 D( t, a/ R3 L6 SMetadata Management9 n, G) ?$ X2 O( |# S
Mobile Data and Information
3 F7 S& I; s8 s4 D% h** Databases3 q+ K( a5 }, s& [; j4 M
WWW and Databases
6 `) m  J8 O1 f0 N8 T9 VWorkflow Management and Databases# \+ e1 r: s) b- C" |+ [
XML and Databases
3 x1 S. K- \$ j" B** Databases
0 o4 U+ U$ \: w, [: U* l) WData modeling and architectures8 \5 O9 Z0 ]6 _/ y8 f, l+ S
Data streaming, data provenance and data quality
) z/ f4 V  ]/ u5 o4 _- ]% n+ vData Security, privacy, and data integrity ( k/ |, {* B. N" y8 p: W- ?
Web Data and the Internet  M. S- i7 `8 @$ K
XML and databases, web services
. [! s+ ^* K# ^& I. C/ ~Semi-structured data, metadata
  I( _; L5 h1 L7 Te-commence) F* ~% S% D$ \" w
: }- {; t* e; H
2. Data warehouse and Data mining( J# m; g$ o1 w" {
Grid/Parallel/distributed data warehousing0 K# M* ^$ `% F" K% g7 c. L
Web/** data warehouses6 w% x: \( S3 k) B" ^$ G/ \
Data warehousing and the semantic web& W8 @& y9 O6 J. p9 Z
Data warehousing with unstructured data
- T3 d9 f2 w# m! l4 MIntegration of Data Warehousing- I0 U: v) P( @7 x% U0 e& U& k
Data and knowledge representation. @0 U# h+ [. d# H+ J
Languages and inte**ces for data mining& L  Y, E3 i0 ?  O& d! g' S
Data integration and interoperability
8 P# K  j5 H8 h2 V  a6 CData extraction, cleansing, transforming and loading
% p9 Y, J) q# ~# q+ h" FData mining and information extraction5 I3 u9 o$ `3 ^! g/ o( X2 z
KDD Process and Human Interaction% m( T1 ~3 F4 z" G- m' r
OLAP and Data Mining( _* `) r- e1 m) e4 _; G6 t( ~. V
Parallel and Distributed Data Mining7 z  u0 ^2 k3 a/ o$ h; @
Physical database design and performance evaluation; t% z8 Z( e. P# N. _
Query processing and optimization
% l2 M" g, r( j  E' lReliability and Robustness Issues4 p: i# r. _$ x2 S# y
Semantic web and ontology2 J* m* Z8 o) t8 h8 ]
Software Warehouse and Software Mining- O' r+ [) E; h9 Z2 j
Social and mathematical statistics% f6 k; o" ?( z( w, B, k2 Y
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
" q  X2 T, E2 a3 D7 a9 ^( ADeveloping a unifying theory of data mining
! O& f8 f0 K- |- hMining sequences and sequential data
9 ~3 @% T# v/ S# _, P: ?Data pre-processing, data reduction, feature selection, and feature transformation
( u3 C/ e) A0 |) s! c2 RQuality assessment, interestingness analysis, and post-processing * i0 Z: m3 M' {; O$ T- h
Mining unstructured, semi-structured, and structured data
2 Q7 x+ t2 ?/ e2 QMining temporal, spatial, spatio-temporal data
) ~* L* q+ U, ^% LMining data streams and sensor data4 V3 P% l% g7 Z; w
Mining ** data9 G% D' w( l8 c9 R4 b3 S; l
Mining social network data: ~- Q- {0 b4 y* a8 k- m+ Z
Human-machine interaction and visual data mining 2 ~+ ~% W" i* N2 |; e% ]# J6 m7 d
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
; x- y- b* x- I' _7 qKnowledge Acquisition & Management( F7 S8 K  L5 t* F: e  ]3 H
Knowledge Modeling
6 L( c2 \% z+ E' _$ M; E6 DKnowledge Processing6 K# g; E4 F+ C& k; _
Integrated KDD applications and systems
1 @5 b8 n' ^; a# q# I* U3 oBusiness Process Intelligence
# X5 O: l% \3 [/ _! UCluster Analysis and Knowledge Base system$ ], Y, i) z  P, J' H
Information systems technology5 ?, i  y7 N$ m
Other related technology about data mining
" ^  i0 D& n2 D% @: p( w- |  Z, v6 I9 F6 f  R' C
3. Computer Science and Related Technology
, |6 f1 h& `4 u* u! f* LImage and signal processing % A4 Z! q) {3 Q- y, B( J
Artificial Intelligence
8 G4 e" i& @3 G  I2 C; O1 S  m, q+ SSoftware engineering
* k( z7 M2 C& f+ `9 ?Systems Engineering & U- K" j, ^; m' h( X
Computer Graphics
4 R- l! I% ~) Y2 @( x5 PComputer Application
. z% A3 X5 ~& F( j0 NControl Technology
: K' ]& T$ `  hNetwork Technology
  S$ ?/ Y8 i$ a* f5 TNetwork security
* \0 e9 q" W' q% V& N) QNumerical and symbolic computation$ j7 D+ n5 F$ A% L; j' `* y
Computer Modeling and Simulation
4 m% m" a+ V4 WCommunication Technology
7 p" P8 R2 k# A  u. J6 h2 XAlgorithms and data structures* k; p; J- K6 b: Y8 \
Computer Education3 X2 o0 `8 p: X: Y9 R0 Z
Other Advanced Technology
: I& V$ T# F7 N8 ~, Z
5 {6 j1 Y5 \1 O$ m1 Q2 a7 G% s: j/ {======================================
# T+ F& R5 @2 f$ p+ E' j3 E/ F" p, vDBTA2010会议联系秘书处
# F1 t! u& A4 w) l( O, l# \9 u4 L/ O2 V
邮件: dbta2010@vip.sina.com, info@icdbta.org
8 S; k( T, o9 M1 c  [电话: +86-15102769170
- j2 f# T/ Y; a  B9 W; c- ]======================================
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