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The 2nd International Workshop on Database Technology and Applications (DBTA2010)6 y6 d' L% M: g3 v
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)% W8 C; e/ D" l3 m
11月27-28,2010,武汉,中国 ( k' M |0 `) n% ~9 L5 A% N: `% H
http://www.icdbta.org/
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1 k+ A* e& @/ Q9 ^论文提交日期: 2010年8月18日& ~$ ]. h6 a+ |% ?. g
论文录用通知日期: 2010年9月 16 日
7 C1 U! T" [5 i" |论文修订版本提交日期: 2010年9月22日$ D$ w$ k5 k5 g$ S$ d
论文注册日期: 2010年9月28日% G3 a7 O/ ]- Q( v' G) `. w
论文提交系统: http://www.icdbta.org/dbta2010/submission/
6 \3 ?8 W* R8 d会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)
1 s9 k3 V5 u$ n. V. _ a+ J1 OIEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)! B5 s" w/ w% p
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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。1 N( ~% L' x' F5 t
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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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: B# @9 ^, q1 U. a; [! U9 ?1. Database and Related Issue . N" u, W6 S! z0 Y* j, U& K% X+ _
Temporal Data. x7 Y' B5 D9 u, A) G; `
Scientific Databases
, T) g6 n! K3 w6 OBusiness database software
0 |0 _. m8 Z$ v9 WComputer data processing ) e* a+ j3 ]% m8 R
Data processing services
: O# N2 X9 v, u0 sData processing supplies
7 E, |5 @# O% {( F2 }' O) P$ mData processing systems E7 ~7 h' }! N! l' K3 B2 P
Metadata Management
" G' i/ ?4 I. J; u4 Q0 X8 nMobile Data and Information0 y! |8 C" J( m' x- a( j
** Databases
4 Y/ Y; F! C" e( nWWW and Databases
3 r+ q. s: c& {( H! SWorkflow Management and Databases
. c z0 o$ Y5 R4 Z" G$ fXML and Databases' J [" |; I" r! v7 M" c! x
** Databases$ [, p' n7 r+ g! a0 s
Data modeling and architectures
0 g) o1 S/ l* O7 C( f/ L0 k5 UData streaming, data provenance and data quality2 N6 I' x9 W% \" j' F9 t
Data Security, privacy, and data integrity
) S1 O1 [# ]3 Y1 wWeb Data and the Internet
0 k3 d% i" J% I4 f, X4 kXML and databases, web services
- c! a$ }% y1 T' Q/ @Semi-structured data, metadata
4 L" M/ ~+ O4 W7 j5 d5 ~e-commence
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2. Data warehouse and Data mining
$ A5 y* i+ }# a1 e/ e& GGrid/Parallel/distributed data warehousing
% ?( E+ x1 M: j$ TWeb/** data warehouses
8 z5 ~. w. {4 U: E( M1 `. E6 x6 C2 VData warehousing and the semantic web3 h3 ~+ B- w J! M3 s$ b% |3 ?7 O& p: V
Data warehousing with unstructured data
( i. x! j U* C. f; ~, sIntegration of Data Warehousing) h/ F6 n: J E3 X/ N4 U/ |
Data and knowledge representation
% p: `1 y$ g# r8 Q) G, ?6 k aLanguages and inte**ces for data mining
: _2 | V0 Y+ W. ^Data integration and interoperability# ]9 C3 ^/ c3 k; G: A: Y ~ n
Data extraction, cleansing, transforming and loading
; \' ], ?9 u2 z) a1 z) H- f4 NData mining and information extraction6 |1 y9 U( q3 Z* A4 K: b" U
KDD Process and Human Interaction ]2 _( C4 {! e4 C" R! {
OLAP and Data Mining
2 T# ~# A+ Q4 iParallel and Distributed Data Mining
, h# F) b H! d# aPhysical database design and performance evaluation
9 \* _9 t$ C2 p/ `; J5 `2 XQuery processing and optimization
. V, f {, a0 U& v- s6 { E FReliability and Robustness Issues# }$ f& u( g3 R! \; Q
Semantic web and ontology) ~! i# K- T) i
Software Warehouse and Software Mining. _" l' A. K! S4 g; E/ i2 z
Social and mathematical statistics+ @, R8 Q# T L1 l% ?1 ]
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) 3 h! ?9 l U# U* h- x, h# s
Developing a unifying theory of data mining ) ~0 F/ R+ ~, t6 x; W }
Mining sequences and sequential data
! T! G. L2 D! N: Z: dData pre-processing, data reduction, feature selection, and feature transformation - O- l8 n8 {7 n4 V" f9 a
Quality assessment, interestingness analysis, and post-processing 9 J, T( A, w d5 W
Mining unstructured, semi-structured, and structured data' b) Y g" U9 p) h; K1 O
Mining temporal, spatial, spatio-temporal data
6 Q6 g/ X7 R/ M; U. jMining data streams and sensor data/ h7 i' u3 ?% x6 z
Mining ** data% T6 }, k# d' ~
Mining social network data) u( B! n' u) b; W9 E+ f5 V! {$ c* L+ N
Human-machine interaction and visual data mining , Z* z% [2 A$ d e \
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
9 x8 `+ m9 D5 G8 ?" u9 cKnowledge Acquisition & Management
2 y) \2 g8 @1 s6 f% _' E3 F$ j: `Knowledge Modeling, e! v+ E$ i/ l, a3 D- L {
Knowledge Processing* B1 j- v# \" _) X
Integrated KDD applications and systems
* d& M* w1 L" z7 i( p3 d3 g! ?Business Process Intelligence. @5 B2 j6 Y" G: C D: u. P7 i( j
Cluster Analysis and Knowledge Base system
% [9 x" n; K! f9 I4 M! cInformation systems technology6 L- P4 d7 P# N8 Z
Other related technology about data mining
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3. Computer Science and Related Technology
. Q- _/ \5 u+ k6 ~; O0 oImage and signal processing
$ w& G7 {/ r4 a/ b5 P4 K4 oArtificial Intelligence 6 ~* O4 a q1 N
Software engineering
1 ~7 T& E/ ^% s0 L0 HSystems Engineering
% i' O+ w" o: N+ ~3 z2 v" S4 ~Computer Graphics
$ d0 ` _4 ?' m3 X* P$ }Computer Application
" p' J" d% z% V9 E# mControl Technology
( b6 N* G/ J( Q9 ], N5 xNetwork Technology
, D0 G% K+ E# B* u1 d; ?3 BNetwork security - @! P/ v- W4 G: o# r0 y' L4 @- T
Numerical and symbolic computation; `. F( b1 ?4 q0 [
Computer Modeling and Simulation- c% ^- R& m: e& w! K& C
Communication Technology 0 [& \' F. Z9 p1 J$ X
Algorithms and data structures
! `) X! ~9 O, d! a/ } F3 o4 q: `/ RComputer Education2 ]% N; f5 {) W7 @! _# D9 A
Other Advanced Technology
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DBTA2010会议联系秘书处( X: e& u5 f# S1 w+ ~9 y
4 V* Q/ T% b" Q. H) o邮件: dbta2010@vip.sina.com, info@icdbta.org/ N( i/ c8 K6 @. O! G" l% J8 K. ~8 H& r
电话: +86-151027691709 P: [! z7 ~8 Z1 F8 P
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