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The 2nd International Workshop on Database Technology and Applications (DBTA2010)
# W* {9 n% E* `# h; K K4 p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)
% Z7 R0 h0 t$ ]# L& W( K11月27-28,2010,武汉,中国
3 C" M3 @: c7 y' R# r+ ?$ {: m4 @5 Vhttp://www.icdbta.org/
8 S I9 S! {7 P9 A8 E: ~
, p& k" ^( x: c; Y* S/ V论文提交日期: 2010年8月18日
% F& ^+ [0 l0 R( w) B2 d论文录用通知日期: 2010年9月 16 日
1 ]; s9 x3 f0 E( ]$ x8 i# D' V+ k论文修订版本提交日期: 2010年9月22日
9 F: F6 p% t7 k) E/ T论文注册日期: 2010年9月28日
8 l0 @ ^4 s, h! l! ~; r论文提交系统: http://www.icdbta.org/dbta2010/submission/7 B0 h" B1 n s- D+ a; x; z
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)2 ?2 D7 {1 N9 h6 V' T4 U! P8 r: ~
IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)
! ~9 a v s1 V3 c3 W$ e
$ p' F% T1 G | o# Y" a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。
# v4 k- F; O# k; A1 m
6 d/ O) A! s0 C5 d, `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:
. Q6 A6 w7 t% o- |2 \) p3 K0 D$ H4 v5 V: G4 Z
1. Database and Related Issue 6 u& o! v9 q6 {2 q/ ^, a: w
Temporal Data' ^! I; h1 x/ G: F7 B% w! ^
Scientific Databases
+ c& V5 X( t8 s0 DBusiness database software5 j7 R+ }+ y: o
Computer data processing / F0 x1 }8 M, }) D2 o' G! c
Data processing services
; L; S$ k" H* ZData processing supplies % I& l3 _7 Z+ g" P6 w" T+ Y c$ W
Data processing systems2 |& r% W7 n V4 c* g
Metadata Management
, ~ a3 [# @& |1 q- k2 t3 Y% LMobile Data and Information. y W' ^0 W, a2 f i
** Databases
. D8 k6 ^ T+ V; k1 c8 GWWW and Databases" d2 F t& Y m2 _9 ? O! `
Workflow Management and Databases' x* l: k+ X- j$ B! Z% o1 [/ A
XML and Databases9 k" l( J: ]: {8 Z* I3 b* Y' a7 ?
** Databases) Y; G" U6 P7 V* A' t3 v% A
Data modeling and architectures6 g. c* h1 S2 _7 S$ a: s5 P1 b
Data streaming, data provenance and data quality* P' \3 V( ]' v! ?. }% S& q' t
Data Security, privacy, and data integrity 3 e& O+ a% C% D: R- R
Web Data and the Internet1 f# _: r$ g# L: G, x
XML and databases, web services
/ K2 `! H2 f+ V( i+ oSemi-structured data, metadata" |; u& u7 h9 r W: ^7 Q
e-commence8 m# P! v; d$ ]
`4 A! Q- {1 ~# }2. Data warehouse and Data mining7 P0 |" w9 K& Y2 } p
Grid/Parallel/distributed data warehousing+ ]4 i: z0 P" `# s' Z4 {
Web/** data warehouses8 F2 P. G6 S) N3 E, g
Data warehousing and the semantic web ~; t2 O4 d& j
Data warehousing with unstructured data
# `5 _4 R( b9 m8 M t OIntegration of Data Warehousing Q1 G! ~. O- |+ U5 \+ F9 q
Data and knowledge representation& L# X, M- U+ H! E' O& k: v
Languages and inte**ces for data mining% I2 v4 K8 y0 E0 p. w! ?
Data integration and interoperability
- B# }9 _- v f# ^Data extraction, cleansing, transforming and loading
/ N" T! L; Z; c `5 }. J& \Data mining and information extraction1 I. B7 A+ ]7 A2 U
KDD Process and Human Interaction
) Z/ ~6 B5 h' n5 Q5 @/ o' M! YOLAP and Data Mining
- f; X1 H& z/ |; m; w* u8 R& jParallel and Distributed Data Mining
. `. k9 N) { P$ p) G8 yPhysical database design and performance evaluation
3 o/ U* Q. u4 \5 V9 _Query processing and optimization
6 [0 b8 m5 G( d' PReliability and Robustness Issues; b" N( n$ |. I
Semantic web and ontology$ t7 r! L* q5 C
Software Warehouse and Software Mining' A5 U$ }. R' R$ }: A4 @
Social and mathematical statistics$ e- d( t! m$ a- K: f6 }3 b' A
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) 6 {9 s {7 N% b3 T
Developing a unifying theory of data mining
/ [6 M9 i& J9 K7 ^4 KMining sequences and sequential data
' @! s/ x, w7 Y8 UData pre-processing, data reduction, feature selection, and feature transformation
5 p& W; x7 ^, k3 {" cQuality assessment, interestingness analysis, and post-processing . s' ]4 ]! Q0 N1 s% [: `
Mining unstructured, semi-structured, and structured data
8 C! M: z/ v% S! ^Mining temporal, spatial, spatio-temporal data
) H/ X c* \! D$ |: c/ a9 V4 f- a& @Mining data streams and sensor data
0 C+ {: x8 K3 Y$ Y8 mMining ** data
- s- j; C7 h* y T7 e' WMining social network data0 l# A( F; P# f/ s3 T( }, }6 ]
Human-machine interaction and visual data mining * @8 P7 ]2 t$ w$ x5 f8 ~
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)" W; R9 ^- v! _, T7 A9 H# N4 V) M
Knowledge Acquisition & Management8 k0 A8 E. j, a8 ]8 l
Knowledge Modeling4 v0 K7 P6 A1 c$ Z. v3 v
Knowledge Processing) M, y8 Q# z( k
Integrated KDD applications and systems , h, w* j( \" q: q0 ~. u- C
Business Process Intelligence: W9 k" L* c- T. g, \( m2 v
Cluster Analysis and Knowledge Base system9 [& l5 y! Z7 S& P" P
Information systems technology; \! X8 I1 A' c% U' a/ |$ C
Other related technology about data mining& `- `3 ?2 s4 W+ c
) m% w+ r4 x4 ~) _: g
3. Computer Science and Related Technology
$ c9 Q' S# F9 d7 s" c# JImage and signal processing 8 C+ r* ?3 S/ d6 T
Artificial Intelligence
, n$ i" u# t) d. h! bSoftware engineering 4 O0 z9 M/ J! h; H" ^6 c1 j, I6 f
Systems Engineering % J5 A! x4 W- \! o+ K
Computer Graphics
3 e4 ~$ c2 C4 l# dComputer Application
( O! Z' x% q9 k; w6 bControl Technology
4 p( r1 W. h5 _/ E9 |$ d+ D* tNetwork Technology
6 j: N% z" n" Y0 P0 HNetwork security
2 [8 K' V, `7 |0 g8 INumerical and symbolic computation* L- G* U% V P, }/ ]6 [
Computer Modeling and Simulation8 F' P1 m# e9 u/ k
Communication Technology 8 h0 _% D) i, @! R& N9 I/ {9 T
Algorithms and data structures6 {/ P1 w9 j1 M9 H0 w8 S) H# s
Computer Education
7 r; C0 \5 R; |0 S1 i6 p0 |Other Advanced Technology
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, }7 @! y2 r* c- X! i. V- k- jDBTA2010会议联系秘书处
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: o& \* `1 m3 ]& \5 F邮件: dbta2010@vip.sina.com, info@icdbta.org
2 h/ c3 f% F9 A& N9 V# A% I; c电话: +86-151027691701 l# `+ I* y! C1 U
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