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The 2nd International Workshop on Database Technology and Applications (DBTA2010)
7 B# A& l! V5 G) }# v" ?& u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)6 ]1 _5 O% q9 w& Z r8 c
11月27-28,2010,武汉,中国 F, e+ d) ~! S* L) m0 y
http://www.icdbta.org/5 j. \" {' z+ u1 @+ b) E$ n
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论文提交日期: 2010年8月18日' z* G* {8 _; N- Q
论文录用通知日期: 2010年9月 16 日
+ Y Y5 {% P' M) c% H论文修订版本提交日期: 2010年9月22日, S7 e+ I0 r ^# K5 T' t7 F1 p
论文注册日期: 2010年9月28日. G/ J+ I* q2 x+ v
论文提交系统: http://www.icdbta.org/dbta2010/submission/
8 z, Q& H9 s. M( c5 g2 F会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)% r$ a; @, {! N8 m
IEEE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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/ y- p9 K/ r1 Q4 B* {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 9 T& B& Z, O' _
Temporal Data4 p) U" O7 x6 O- q" S8 S
Scientific Databases
/ e+ |, M8 u1 A* ] ]2 k! v; x3 n0 xBusiness database software4 ] e0 {$ A) N) ~1 K0 D
Computer data processing
0 p% D) i- e: y$ Y0 I- AData processing services ! z9 s1 A l. r
Data processing supplies 7 F+ T4 I0 ^; g* {: K
Data processing systems: u3 b3 R( b5 j) `
Metadata Management7 P) V6 n) @- @4 W, @7 a. p
Mobile Data and Information
. Z. o4 t* d' ?# L3 P** Databases
4 ^4 Q7 r# z1 \( u* k3 NWWW and Databases @7 e7 ~( U0 @: b9 C8 J7 ]
Workflow Management and Databases/ \% V9 \1 q2 }/ V
XML and Databases+ O6 w) s0 S* N4 D9 M, D1 a# G
** Databases, i7 x$ b( d9 r6 _+ L- T c* x4 x# J
Data modeling and architectures
3 b5 a2 d$ J1 r$ zData streaming, data provenance and data quality0 ]& Z. W% e% b) P, r
Data Security, privacy, and data integrity
$ Q0 ]" f2 H9 l' ?& u- l& J& CWeb Data and the Internet9 p$ ^9 Q: r1 a
XML and databases, web services9 g8 A' I6 p9 n; V- o
Semi-structured data, metadata6 m4 _# m& a$ O! m# H" b$ }3 J8 U
e-commence- Z( X, C2 }; u6 y Q! x5 e) R
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2. Data warehouse and Data mining
0 N$ \3 c3 X; y. k! ~' `Grid/Parallel/distributed data warehousing
G o# J* G7 c; Y3 y% k2 tWeb/** data warehouses
1 w# i6 P( M! FData warehousing and the semantic web, i/ t: v# h' s$ }9 b
Data warehousing with unstructured data
- J8 f8 A# T3 wIntegration of Data Warehousing2 R& t7 ?" [! U; i" P7 I$ Z0 o
Data and knowledge representation, I% \2 g0 I m4 c. \- w
Languages and inte**ces for data mining
8 d% c) K6 s( G, @$ N5 iData integration and interoperability
0 d2 Q, F! P$ y2 k u8 R" QData extraction, cleansing, transforming and loading
' X# G0 D/ \1 W* hData mining and information extraction- Z; Q! f. E' C1 i' E0 {! Z
KDD Process and Human Interaction ^0 w" I; z1 \" s( C- u
OLAP and Data Mining
4 D4 O5 N5 J" Q. q% \Parallel and Distributed Data Mining3 n) Y* t8 H; W3 ?9 b* {7 I) ]
Physical database design and performance evaluation
9 \. F& @% A% y8 JQuery processing and optimization
$ v9 d* E! S8 [5 b$ B6 I" ~0 K: ^/ `Reliability and Robustness Issues; b, l% S0 [* ?
Semantic web and ontology
' `5 }; y* U- U: ~Software Warehouse and Software Mining
9 p0 ?# q0 A- P) S; G3 h2 a- S! g$ mSocial and mathematical statistics' a0 \! n7 o7 Y- u/ i
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) ! f8 l1 C8 [. `" ] Q
Developing a unifying theory of data mining
4 N, U$ R: r) q. O# m3 V+ j7 F/ k0 H: UMining sequences and sequential data
) t7 I( g4 A3 S. tData pre-processing, data reduction, feature selection, and feature transformation + l; ~. ?7 [& ?4 [- Q. X5 g
Quality assessment, interestingness analysis, and post-processing # v1 j4 j# m/ u3 ^) J5 x
Mining unstructured, semi-structured, and structured data/ N( e+ z* `" G
Mining temporal, spatial, spatio-temporal data
- w S+ j% p& [) v# O- S: FMining data streams and sensor data
- C* E0 g+ O* c, F7 A4 nMining ** data
( ~8 ~. I2 [7 e+ r2 Y! h, @Mining social network data
, x- J* s3 {& o J K, g X# DHuman-machine interaction and visual data mining
* K9 E7 e5 ^% E. jData mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
# y: P1 B$ f P. P. ?6 S" j+ GKnowledge Acquisition & Management+ `/ {/ `9 f+ X _
Knowledge Modeling
Y) x: u* ` S: n# vKnowledge Processing6 V- c/ ^+ s* b$ O7 v
Integrated KDD applications and systems ' U( ~+ g$ a1 e
Business Process Intelligence
9 j& V; e) q5 m& H. k( w* G6 ]: |Cluster Analysis and Knowledge Base system1 p: W1 |- a: O
Information systems technology
6 I2 w9 u5 X6 g, w% A" O! t9 `$ y+ ?Other related technology about data mining/ B9 N4 v$ `; K j. I# V g& D) A
/ |+ M0 L" M1 w r3. Computer Science and Related Technology , @8 d1 J' l1 w
Image and signal processing
" v! a! q6 H+ O8 l, t% |/ G8 [! hArtificial Intelligence
0 _* Y0 l( p+ X+ U7 p8 p0 cSoftware engineering 4 z- v. I8 \, u8 c; h
Systems Engineering
! p" n0 C: E8 Z& \8 s" V6 qComputer Graphics % ^& \! d Y; f2 V# R. z: S- [
Computer Application 4 T5 @. p: C* u4 V5 y/ g/ ]
Control Technology
2 d2 r- s) p. ^9 cNetwork Technology
4 G/ N" P5 H4 T2 \Network security
6 a& P" J1 P' J. z3 }Numerical and symbolic computation
4 p$ G. f' W) ^( m% VComputer Modeling and Simulation7 N& O' ~. X# Y& ~6 U' k6 H
Communication Technology
' d. _' o+ r- u3 `1 q1 RAlgorithms and data structures
/ F" Z+ z: k/ f; e# N) MComputer Education, n3 n1 |4 }2 _% B& g% z
Other Advanced Technology
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DBTA2010会议联系秘书处
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邮件: dbta2010@vip.sina.com, info@icdbta.org
* \+ L& a" J+ A电话: +86-15102769170/ f' U& q/ F& [: ]% J6 [1 ~
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