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The 2nd International Workshop on Database Technology and Applications (DBTA2010)
8 Z/ Y- a( T: s. M( a0 {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)
: K* ?6 O1 w( N, |9 i4 ~7 q11月27-28,2010,武汉,中国 / U/ U( J$ R5 N+ g5 W
http://www.icdbta.org/
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( y$ M. Z) ^2 C6 O6 g; p E% i论文提交日期: 2010年8月18日
( H! N/ |2 m% A0 J论文录用通知日期: 2010年9月 16 日
, h- b& f- L" d* A论文修订版本提交日期: 2010年9月22日" v+ M! n/ p+ ~* H) T
论文注册日期: 2010年9月28日
( J! p6 F% W8 E& L论文提交系统: http://www.icdbta.org/dbta2010/submission/; j9 K. W; K2 }+ q; A& E/ L0 X
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)/ k9 \5 m9 }3 U$ D7 o
IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)
" M! o* h3 [( M( Z
" R J2 J6 p4 q. K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 s' V- F) a. B
0 ^2 f; v7 l& G) |' R 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:
0 ]& A' ` y; |( v& m/ @% h9 ^" b8 {9 n
1. Database and Related Issue
4 E! `, E1 i8 D. F2 {4 n1 F# HTemporal Data; R$ ] [, J( ^! s! `3 O. I3 B
Scientific Databases. i' n6 Z3 v v& g# P
Business database software
1 N7 l$ e- u$ F7 A2 q' F! f9 ]2 DComputer data processing
X4 @5 b8 h y) j. D$ X1 QData processing services 2 ]" ^0 j7 h a2 ? }
Data processing supplies
4 z( X- y# _% z/ P8 Z- {0 }Data processing systems
6 s9 B# S' `! I! YMetadata Management3 U# s% D, r* _' F/ B2 j
Mobile Data and Information8 I" E* e, x1 l/ m, j1 W8 n
** Databases
6 `# X9 H5 }) q x- n) HWWW and Databases
0 J( A; O1 P' u/ j( V5 gWorkflow Management and Databases/ r( n) u5 _% h" O; H6 d- `
XML and Databases
+ g! O0 ?# u% B* `. c# O y** Databases1 ^* L, e: H; w0 }! E0 ?
Data modeling and architectures
" R, b' P% G" q& Z0 z- bData streaming, data provenance and data quality
) y5 }# R" K( d) q5 _8 XData Security, privacy, and data integrity + o( h- q. M: s% [$ a
Web Data and the Internet
8 ?8 L$ i v |, AXML and databases, web services$ P5 b, c: [, u+ P, e3 d
Semi-structured data, metadata
R3 z% V/ O H. xe-commence3 l" i! g, E! z4 E
5 @7 S9 W. E2 w K; `9 `8 R2. Data warehouse and Data mining
# o- z% G1 _5 VGrid/Parallel/distributed data warehousing
1 m! q1 b$ T5 `' w$ pWeb/** data warehouses
1 Q7 S0 j) T+ a9 QData warehousing and the semantic web
" X) J& ^4 q7 v1 i* A, JData warehousing with unstructured data
. x I" }% `$ A/ @" HIntegration of Data Warehousing5 m3 ?( \: m% j( X& [) C# t- e
Data and knowledge representation
9 J) i% [3 F/ S1 z; }- S! {% F6 bLanguages and inte**ces for data mining
' G1 Y# b5 b2 z1 R3 yData integration and interoperability
j( V% z3 ?. _+ N# ^& zData extraction, cleansing, transforming and loading
7 B4 ^! ]1 c2 S& oData mining and information extraction
' ~8 u4 P) F* w( d% _KDD Process and Human Interaction
5 \# p( W7 j, i4 r* zOLAP and Data Mining
2 W7 U( E, `* m0 a% o% A* PParallel and Distributed Data Mining+ t/ |8 ^; \9 _1 \4 n% l
Physical database design and performance evaluation& D7 N( d1 G1 B; c' x# R+ X/ G4 D$ v
Query processing and optimization
5 S4 @" L8 p0 n$ _& W( j3 J" zReliability and Robustness Issues* o0 `3 a0 u. C. u
Semantic web and ontology
- U5 K9 {: H- H; oSoftware Warehouse and Software Mining1 t1 z% Q0 `/ U, s& J! r/ ^ y: s8 \0 j
Social and mathematical statistics# q- T( E; c6 x9 G4 c Q
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
# c+ }! \4 D: G+ e2 H) P$ BDeveloping a unifying theory of data mining
/ `8 Z5 e0 n) yMining sequences and sequential data
/ H1 S! N# }1 I; mData pre-processing, data reduction, feature selection, and feature transformation
( a8 V& d; D' h: X) A) @ K3 DQuality assessment, interestingness analysis, and post-processing
9 u; I0 N/ g; J+ \5 r. wMining unstructured, semi-structured, and structured data. S5 O; i. p c
Mining temporal, spatial, spatio-temporal data
* o; u) E2 a7 x8 e8 p; }5 P5 UMining data streams and sensor data! Z6 C. t" C' `8 R
Mining ** data
) v, \9 J! Y1 w$ g% p2 E: m& \Mining social network data
4 W& X$ i# f: p& a) Z/ s5 |5 X0 QHuman-machine interaction and visual data mining
3 v) |" ]9 v) k6 p( q% m8 b8 H1 S8 [Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
! P; G) @) I) xKnowledge Acquisition & Management
) N' C6 W2 A; sKnowledge Modeling
" z" ^+ f4 @& G$ O1 Y# s7 rKnowledge Processing( O5 D5 ]6 `9 U9 V3 r
Integrated KDD applications and systems 8 C. J% }' E5 a
Business Process Intelligence/ [9 k' M y* ]( \5 Z
Cluster Analysis and Knowledge Base system& w1 ^, |5 {; ~7 r% @1 I
Information systems technology3 w. X y! }: y! O2 H
Other related technology about data mining* n- O% ?8 ?8 E
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3. Computer Science and Related Technology
* C2 C" \. w M3 e& LImage and signal processing " a: M" A8 F6 S" b& Y- k/ J
Artificial Intelligence % \" I, p) W1 R( g2 h& u# `
Software engineering 4 t9 W1 _) L, B5 j$ M
Systems Engineering 0 k" d# X. H1 `8 R' I4 B9 J8 }* ?# N
Computer Graphics
) Z+ m$ v1 F) c' O, U0 [/ eComputer Application ( m/ [ y+ \) r5 F1 m. i- b' n V2 ^
Control Technology 3 Z; B# f% b6 ]0 c/ s7 J8 v
Network Technology ! e! t) I' a+ g
Network security
: s# I* A, j; q- W. Y/ Q% g" [: s! TNumerical and symbolic computation
: N& H3 u. t2 V! N$ LComputer Modeling and Simulation- f; N9 n/ P9 v% {6 `% ^0 ?
Communication Technology
* K6 e! g; {/ L# A8 `Algorithms and data structures _6 {& Y; \; c! y/ t) F( e
Computer Education
w* P, [- ?: S; d# J3 hOther Advanced Technology( F+ G0 _) P- E: ~
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DBTA2010会议联系秘书处6 G! c* r* h* K. I3 c6 G, V# U
% N" `/ z8 d8 x9 {8 C邮件: dbta2010@vip.sina.com, info@icdbta.org
, i, b8 \0 ?; p2 M电话: +86-15102769170: m, P* D+ f b% [) t% j( ^
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