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The 2nd International Workshop on Database Technology and Applications (DBTA2010)
, o) {( V9 r) t- d4 u: W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)0 i& d3 y7 t) [6 b; P
11月27-28,2010,武汉,中国 5 { u# M2 ~( Z& y
http://www.icdbta.org/dbta2010/1 Z& A" H/ t, t% \) f7 d& I
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论文提交日期: 2010年8月18日$ k3 M" c9 \( r& H0 ?
论文录用通知日期: 2010年9月 16 日
5 y7 A' |& H2 T3 M; A论文修订版本提交日期: 2010年9月22日
, W, ]6 _9 y" `0 I3 o论文注册日期: 2010年9月28日
% ^+ l8 I, \0 ?) J0 M- z论文提交系统: http://www.icdbta.org/dbta2010/submission/
4 |0 Z( V9 E0 X5 I会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)3 ]" c5 o& `) G# D1 b
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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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EI Compendex和ISTP检索。会议优秀论文将被推荐选入EI或SCI收录的国际期刊专刊发表。5 ^3 d; Y v/ H6 q: j5 \
) _+ R. {' O! r8 f" F4 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三个领域构成,但并不局限于:
2 X( J" X: S; h6 F& I% g, n1. Database and Related Issue / 数据库与相关领域3 G4 Z9 ]1 ~! Z, U) G# R F2 M# ~
Temporal Data
5 `; y" f' l! |Scientific Databases# \& y6 F( Z- V# u
Business database software# J! R0 g8 A' g5 w) E; L
Computer data processing
. _6 g- v6 ~. A# k: ^6 h* ZData processing services
% |0 d! G. X5 b* j: b4 p8 v. }Data processing supplies ( S* V! }" P0 ]( q6 m7 N
Data processing systems
8 G' h* @4 T, a3 M lMetadata Management* s8 M6 i" I4 p1 f! x' U9 c7 b
Mobile Data and Information& m$ g. p, v+ E& r! |
Multimedia Databases1 G8 Y+ K0 h3 q/ M
WWW and Databases }1 z/ j& a/ N: L R
Workflow Management and Databases6 c0 W5 D6 O1 Y2 A8 y
XML and Databases8 ]3 P) [' g* A A4 i3 i
Multimedia Databases' @# b' a0 h" u, ?- L% i& @
Data modelling and architectures1 i3 B* }) I2 D
Data streaming, data provenance and data quality
9 V9 m% M6 i: m/ A2 _Data Security, privacy, and data integrity
( W0 j4 V" b' q- X* R$ t1 oWeb Data and the Internet! z+ f# N' s1 f7 K9 f v. B4 V1 q
XML and databases, web services
/ f m: N9 }% B0 F9 rSemi-structured data, metadata+ m0 v. E# h e) s9 t
e-commence
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2. Data warehouse and Data mining /数据仓库和数据挖掘
3 [0 K: }% f, F6 y* VGrid/Parallel/distributed data warehousing
) }$ `- D; a2 B7 D' Y$ I% o0 O6 c- fWeb/multimedia data warehouses2 ?- S- N/ C3 L2 ?: j
Data warehousing and the semantic web1 D9 }, J0 T( H) V, h
Data warehousing with unstructured data
% D& M5 p) F/ d# a7 e( M: C) }Integration of Data Warehousing
! v6 ]4 ]- c2 |+ ^- qData and knowledge representation
8 O4 q. O* K$ |2 u$ P+ RLanguages and interfaces for data mining
* L3 F2 f6 }- R& N4 t. D, S2 XData integration and interoperability
) p% Y0 X( v' {: M9 j6 ^0 GData extraction, cleansing, transforming and loading% S2 D3 A! _6 {. A; t
Data mining and information extraction E& C' ^# _! a4 S1 ]- `+ X* C; e1 j
KDD Process and Human Interaction
% q) d$ n+ C: T3 vOLAP and Data Mining1 t0 ]; X- P5 _/ o$ V' w
Parallel and Distributed Data Mining: l' e- k8 V# O
Physical database design and performance evaluation
& V9 }9 i, p& d- L( oQuery processing and optimization. ^! v8 o: X; V3 J Q' s! h
Reliability and Robustness Issues
1 T' w* h! Q. Y, ~# p* f2 TSemantic web and ontologies4 Q% o* A* q1 f# l; @! g
Software Warehouse and Software Mining
0 r `/ W0 B3 i- D4 {% ^# o1 E1 NSocial and mathematical statistics7 k- l; f! V6 j' e( a' w/ ?
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) 3 j. o" i" l0 w* S
Developing a unifying theory of data mining
8 X. J* s+ ]* r o C/ CMining sequences and sequential data
; O/ b& h3 A! |0 r" MData pre-processing, data reduction, feature selection, and feature transformation : a+ k( ^+ t- j* K) N9 H
Quality assessment, interestingness analysis, and post-processing 0 s6 K: \8 O/ Q/ ~8 H
Mining unstructured, semi-structured, and structured data
* V4 Y; \8 x( I1 ]4 I. y- \. WMining temporal, spatial, spatio-temporal data7 F7 ^( R; `# |: o3 X
Mining data streams and sensor data
- p+ A" N) W( JMining multimedia data: n7 s: U3 v/ R: Y2 r0 C
Mining social network data
$ P% E$ G+ f, O2 O+ EHuman-machine interaction and visual data mining 8 }& i, N7 B. O6 r6 I! v5 d# Y
Data mining applications(bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
: X( K) d6 C2 X N; r% E" xKnowledge Acquisition & Management4 f* U; K6 [8 f( s
Knowledge Modelling( H) U* b$ m( [* W# N1 i: q+ J
Knowledge Processing
" G% C! Z8 j# c# sIntegrated KDD applications and systems - Q- c7 s3 m3 @+ P. k3 x" G
Business Process Intelligence
# f7 H! N9 S: D$ k, u* b- ~! [Cluster Analysis and Knowledge Base system
+ L0 D$ |4 n5 N8 LInformation systems technology
4 |* R6 V# |/ Y1 KOther related technology about data mining) W9 R( V7 b9 s! \# d z# ^
3. Computer Science and Related Technology /计算机科学和相关技术
3 u1 ?$ u2 N b) v7 @' LImage and singnal processing
, h+ s: \& {% p( {0 SArtificial Intelligence
1 F9 F; x" k1 Y |% }Software engineering . @$ Y$ }. M" [1 f/ b
Systems Engineering * s) O# Z5 Y/ L& H; h& n2 m
Computer Graphics ! c/ J' ?, B- T+ o" p
Computer Application
: D; {" w- C- ?. H% V- M; qControl Technology & O% l% b; a `, D- ?; L }& j" P. E
Network Technology
1 j( D, `1 w: O2 B s( PNetwork security - t: h: h" U" d
Numerical and symbolic computation
# J6 ]4 ]4 ~; G/ kComputer Modeling and Simulation
# o, @: b' _, B I' x- f' W; ?Communication Technology
" R7 w6 e; U0 |) ~, a( CAlgorithms and data structures+ g4 @/ U5 W8 N& _7 z: V2 K+ X
Computer Education/ I X/ c1 _" s. g4 q$ l' q# i) }
Other Advanced Technology
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! {- y! j; `! \8 [, pDBTA2010会议联系秘书处# ~4 M3 G- }2 _9 U
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邮件: info@icdbta.org, dbta2010@vip.sina.com9 d1 [9 H' h. o- t& \. v+ B( f
电话: +86-151027691709 S# P G1 F! u, n$ \7 y1 _) w
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