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标题: 第二届IEEE数据库技术与应用国际会议-DBTA2010 [打印本页]
作者: power2010    时间: 2010-5-12 16:42
标题: 第二届IEEE数据库技术与应用国际会议-DBTA2010
The 2nd International Workshop on Database Technology and Applications (DBTA2010)% I7 S: M! `3 X- S) g; I; X. P3 d9 b
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)
9 \! X, B& M  m9 I. V- k* u11月27-28，2010，武汉，中国 7 E5 R1 _# u' r% m. u; ~: q% v9 |
http://www.icdbta.org/
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, w0 N! c+ I% y9 G论文提交日期: 2010年8月18日
5 i/ l, ^+ x" j论文录用通知日期: 2010年9月 16 日5 ?0 E' T9 f$ q# h3 E. p( `
论文修订版本提交日期: 2010年9月22日
' _2 O* {5 j; Z5 f# y# W- Q  ^% J, o论文注册日期: 2010年9月28日; x: C  y; ^4 z7 M. p0 K/ _* k
论文提交系统: http://www.icdbta.org/dbta2010/submission/% Z7 j- w) w9 e* t, }" ]
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc（只接受英文稿件）7 f$ c, L0 \6 _2 r8 Y0 ]& _
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。4 L1 x! o; l7 f! f! O0 l- _5 n
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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
: N0 O5 {6 ?3 G7 }Temporal Data
' N8 D) v9 B, F  lScientific Databases
3 M* x- i) r8 kBusiness database software9 h' a. e, s: _$ q+ Y4 I* p& f
Computer data processing
7 z% [. e4 Z9 W/ ~& ?/ @+ bData processing services 3 {$ {; {, U/ y: H. F1 u
Data processing supplies
* \( O& g# J/ g! j. CData processing systems" P8 K/ @7 m: S6 D
Metadata Management, J( p+ q% y1 M$ |4 C$ A" N
Mobile Data and Information
# Y1 |6 ?" ?7 V** Databases& g# Y) m4 R# D8 A5 \4 U/ ]; Z
WWW and Databases: Q( n2 W9 E5 i9 N1 n1 W4 [
Workflow Management and Databases/ a8 a- w9 S" N) P$ V4 _
XML and Databases
7 F# i+ Y1 y9 f5 N( f** Databases
0 g) ^# F8 W0 E/ l/ s7 U* cData modeling and architectures
$ u% d0 j& d6 N+ tData streaming, data provenance and data quality
5 V0 E- r5 a% a% bData Security, privacy, and data integrity / ]6 B7 B5 I! l. v
Web Data and the Internet8 P0 v8 s6 G3 M( v  ]7 u$ c' t
XML and databases, web services
  V4 H( E" ~* t; s& J$ n, ^$ sSemi-structured data, metadata6 k& [% C0 P& x3 E7 c
e-commence8 h% z0 V+ Z- L% Y8 {* \6 }2 t

0 H/ e8 [( X0 g' q- s5 Z2 u2. Data warehouse and Data mining
6 f8 |0 U# U  xGrid/Parallel/distributed data warehousing
9 Z1 F+ H/ q5 i( f9 g6 S( YWeb/** data warehouses
# E  o3 B1 r1 v; T0 AData warehousing and the semantic web3 _" l& E' B- [+ x5 I: t; ^
Data warehousing with unstructured data+ [$ u; N1 ^; C1 s
Integration of Data Warehousing) _9 E) K! z1 P4 z1 R. Q
Data and knowledge representation
" _5 o6 Q8 J' S- ELanguages and inte**ces for data mining3 x7 X8 L% P# l! r' S
Data integration and interoperability
2 i( ^& M: i; C* g7 F( a8 ?Data extraction, cleansing, transforming and loading
4 {% y) j; G! vData mining and information extraction- @' d0 x: D1 z- c: T
KDD Process and Human Interaction
, G" ]' u# f* a; }: fOLAP and Data Mining
8 q2 y1 u: r/ @- [Parallel and Distributed Data Mining
, z' z& M; m8 o& i* l0 fPhysical database design and performance evaluation5 |6 q+ p* w5 y8 h" t
Query processing and optimization
1 v5 Q% P* T! f% t: Y- ]Reliability and Robustness Issues
) M" k2 N- |! Z  J& R4 Y. J' @Semantic web and ontology
+ b" H; q4 U2 S+ f$ @Software Warehouse and Software Mining# o/ _8 F% W: O2 E- H
Social and mathematical statistics
, M. u6 S+ z7 L) w+ d3 sNovel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
  D1 u1 W) }7 _; GDeveloping a unifying theory of data mining ( d9 k; S4 ?8 S( q8 ?
Mining sequences and sequential data
0 F+ S5 l( Z4 g3 _4 s* wData pre-processing, data reduction, feature selection, and feature transformation
' y7 N4 e" U. p& e6 A" \5 x  U( UQuality assessment, interestingness analysis, and post-processing . p! j2 ?+ W# H2 i. c8 Y
Mining unstructured, semi-structured, and structured data8 f5 f* @/ C8 \3 ?6 d
Mining temporal, spatial, spatio-temporal data4 ^/ X6 }6 }& H5 R( x3 `) M
Mining data streams and sensor data
- o7 C" d9 ^5 [Mining ** data3 V, h! M6 X$ q8 d& g
Mining social network data
+ [: _7 p* @& oHuman-machine interaction and visual data mining ; Z5 V! ]6 B3 K) K$ p$ |6 G4 U7 R
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
! O$ L1 H7 ?6 }Knowledge Acquisition & Management
/ `* K% v+ X6 w9 DKnowledge Modeling* \3 }  `6 q( i' H" ]
Knowledge Processing
- M5 B) D! K! }8 p/ iIntegrated KDD applications and systems
2 j6 m7 n+ _$ h7 c; DBusiness Process Intelligence7 q2 ~8 {8 r' Z1 ?- z* S
Cluster Analysis and Knowledge Base system
/ B8 V% j. A3 A9 v) SInformation systems technology
, \3 r. j: F7 {- G2 lOther related technology about data mining7 \  `) x  b; T4 a* r

5 C  d1 R. [0 S$ B3. Computer Science and Related Technology
# l" o5 W/ y( HImage and signal processing
* E8 x& R0 W8 K5 P/ eArtificial Intelligence
2 U( X1 u$ W; i( K) N1 qSoftware engineering " k! ?5 U1 f. E3 S4 }8 ^
Systems Engineering ( V  s4 V& h3 }# Q4 @$ Z/ o
Computer Graphics
: w/ N  L$ B% S- Y9 p; {. {* \Computer Application 9 p. N, G/ r9 |- V+ E% ~0 K! c
Control Technology # l/ x: O0 |' N. R) q) V
Network Technology 1 e, ^1 P$ \3 f) x  t0 h, W3 |+ D
Network security 9 A% \0 p. H4 _% u0 K* e
Numerical and symbolic computation0 s6 A4 C8 X) ~1 F0 Q5 z
Computer Modeling and Simulation  [+ s4 Z& C! {2 h( o! B" h( E: }
Communication Technology 3 y0 H$ o6 U: y, |7 W* |
Algorithms and data structures. H) H+ S- f4 @* k7 M! b, f. h3 h( a
Computer Education
0 C0 p) Q0 p% C  y8 Q- mOther Advanced Technology8 _5 T' B2 |! k$ V# J! E

; A- |0 e, B" f' ^+ r======================================
) y1 _9 C& p% q$ A' M1 FDBTA2010会议联系秘书处
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  P2 M' T; G9 |% z邮件: dbta2010@vip.sina.com, info@icdbta.org
) Y- V- A2 G* F! ^( L电话: +86-151027691700 i0 P* D& `2 c
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作者: zdshitiaogou    时间: 2010-6-1 08:39
抢沙发了。。。。。。。。。。。。。。。。。。。。。。。。。。。。



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