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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)6 T: @5 @( _8 q: |. U- E4 ~8 `6 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)* N4 h. V( t+ f& t. n
11月27-28,2010,武汉,中国
$ k$ e, S. _* z; x9 ~' P" ehttp://www.icdbta.org/
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. a( l4 u9 P! q/ P论文提交日期: 2010年8月18日
+ |! y& u" R$ W1 r7 [/ t7 I4 T论文录用通知日期: 2010年9月 16 日
) i1 D8 n# J: e1 S$ Q, W) _- `  B论文修订版本提交日期: 2010年9月22日8 D& q  T4 V9 ^4 n& c/ m& M
论文注册日期: 2010年9月28日
# N, J/ ^, C+ i9 c# S论文提交系统: http://www.icdbta.org/dbta2010/submission/
9 @8 H( M( B4 x/ P7 M8 M会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)6 n# c6 D, x8 E3 {4 T; A; d/ X
IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)) V' y! y1 a! k. ]/ u
, r9 o3 j9 M* \7 y( ^
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。
1 a8 f+ p+ k- F9 }/ `
4 A$ Q' C( X% h, J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:, c& u4 J  e5 L+ O  Z
" [" [8 \6 ~, `
1. Database and Related Issue 8 d" P: T# Z# s5 d) a% C
Temporal Data
% y" F3 O, R$ O7 fScientific Databases
( \7 S1 d) c2 Z! k, G+ HBusiness database software
9 X! y( q* g! p7 T6 {# R$ A* J; ZComputer data processing 5 E) d3 x, @  V- D7 j+ K
Data processing services
7 N: g9 i2 K- v: U$ b* p: DData processing supplies ( Y6 X3 w4 _7 [5 e
Data processing systems  Z) f! |7 Q$ Y) l
Metadata Management
8 W, O+ j3 T6 v* I( @3 K1 Y/ OMobile Data and Information
' J6 g: @( p/ r** Databases$ K6 N8 _0 r* W) y+ e( F9 u5 S
WWW and Databases0 P3 {) }/ H% x8 z+ \) R
Workflow Management and Databases4 Q) y% q, n3 q5 ^+ s0 ~
XML and Databases
$ ]6 N# K; o% ]** Databases- S; t6 u9 Y" {6 r6 R, I
Data modeling and architectures
2 b& x9 _. q  j- Z6 dData streaming, data provenance and data quality9 l& O& R' o; w) {& ^: ]7 O7 X
Data Security, privacy, and data integrity
$ t% V! u# P: F- k6 D5 F0 @( O. qWeb Data and the Internet4 u( M* S; s& c2 w! L/ e
XML and databases, web services5 F7 l- y/ b% H. c2 m6 `0 h1 Z! q
Semi-structured data, metadata
1 A, [2 @( E. g! I+ Z) }e-commence
) f4 [5 g! X$ z/ f/ q) l0 I9 ]+ j" e$ ~7 ~6 W$ W
2. Data warehouse and Data mining: l7 Y2 Z5 k  F0 N/ }
Grid/Parallel/distributed data warehousing
  A/ N! D$ c6 ?& NWeb/** data warehouses. [- n0 k, f9 E# `
Data warehousing and the semantic web
" ~# k0 Y* f+ _) h; X, ~4 _Data warehousing with unstructured data
; j# ]. Q  P! F% }) J: d0 LIntegration of Data Warehousing
: K5 ?, z$ E" w8 ]( F7 a. p6 m8 w( g) ^Data and knowledge representation; u1 B' Z7 R9 S/ u: F1 {' @
Languages and inte**ces for data mining
+ z- k& T/ t4 e6 O$ n) o8 zData integration and interoperability7 }" C% V% {: n+ P. r% b% p
Data extraction, cleansing, transforming and loading
. [8 _8 p1 @- b/ LData mining and information extraction( B' A4 P/ O: j* O
KDD Process and Human Interaction
$ l4 _$ B8 B( p. EOLAP and Data Mining* ^% Y5 C4 l  N+ Z  E
Parallel and Distributed Data Mining
3 h5 K5 W5 s5 n- Q' }3 X3 x0 EPhysical database design and performance evaluation4 v& D2 k: _( v, J" V8 ]
Query processing and optimization, ?0 J1 `2 X1 a. [) J
Reliability and Robustness Issues
$ q- \2 R3 S3 P6 ^  z  I) k+ s- jSemantic web and ontology! f: F% o9 F; B0 T( I% O* \4 G
Software Warehouse and Software Mining
2 K8 c4 J# p5 }6 S8 L; zSocial and mathematical statistics" L& H7 g5 h1 G4 C! J
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
) Y* ~0 Z9 p- ^6 L) j; ^Developing a unifying theory of data mining
. e1 `) S, R8 T$ {, S8 [- k$ N# H# dMining sequences and sequential data
8 o, m! ^+ q# w7 RData pre-processing, data reduction, feature selection, and feature transformation - n" R4 G6 `, L! s" k) g/ o5 J
Quality assessment, interestingness analysis, and post-processing 2 ^8 z5 z. h9 A# F1 j7 f1 D
Mining unstructured, semi-structured, and structured data* x( X* `$ T& h5 e' H$ `8 a
Mining temporal, spatial, spatio-temporal data1 a4 _# e- f* Y$ L, r) R- L
Mining data streams and sensor data
1 Z. V  q% Q3 }& y0 h8 M9 P6 |Mining ** data
" t; M* N; S% ZMining social network data; n8 x2 j4 W- y5 m
Human-machine interaction and visual data mining
8 g$ J& z0 s- A! ]; n7 d$ p$ n# a( TData mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
4 p# a9 Q- }: P, `' E3 l6 g( NKnowledge Acquisition & Management
+ R! z+ v+ [# wKnowledge Modeling3 O+ q0 M9 B* i, C: Z3 S4 I
Knowledge Processing
& v' g% r3 [7 p, a1 S" P0 uIntegrated KDD applications and systems : f* V% Q. g2 t  _7 f
Business Process Intelligence* h! _+ X- A* S9 T% h9 l
Cluster Analysis and Knowledge Base system
2 T+ d2 G+ K! b: {Information systems technology
6 V: S' {$ F' O; q% E  E+ U) d) j' sOther related technology about data mining1 l/ _% c8 b# R% n+ t1 i4 h% m( @

' q! u' j6 \2 W0 p+ L$ l) \) F3. Computer Science and Related Technology . i, w+ k6 U, R/ q% Y( ?
Image and signal processing ! A& q/ b7 f' l& V
Artificial Intelligence
0 C4 b- F: ~* ?/ r& b4 b# x7 ESoftware engineering
7 r* O  O9 l+ T  Z0 qSystems Engineering 2 E7 n9 k  v! _& L4 z' R
Computer Graphics
# E3 j$ v- @+ |4 y" xComputer Application 6 d3 z2 I: {8 a. Y) j
Control Technology
2 P: h/ a8 {: |+ t6 sNetwork Technology : ]' r  M9 H0 Q. D. a6 O* Z0 W
Network security
/ |; W1 v. H# _4 iNumerical and symbolic computation% a* z5 r0 }0 I0 i& d8 A
Computer Modeling and Simulation7 W1 J: w" t2 I4 t" o! f; d: ?
Communication Technology - c) i2 q# J# b) O, G8 [9 Y
Algorithms and data structures
1 E9 g5 N, _, P  ]5 n0 Z* ]Computer Education1 R" G# A" W  W5 E* G! V
Other Advanced Technology
/ m( u2 r4 u: D/ e* S2 g' o" _
! p/ P. l/ b0 Q  ^======================================0 }3 O% l0 s; O' e
DBTA2010会议联系秘书处% F  h2 f% G5 ~2 g' A

# J: f6 N* m7 i% \0 g$ ?邮件: dbta2010@vip.sina.com, info@icdbta.org) A1 V+ N. G; V0 y) A0 ]
电话: +86-151027691701 a8 z' @: N3 B. g1 I
======================================
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