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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: 2010-5-4 16:05
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)( X! A0 u# F3 F2 x7 a0 O7 Q! x
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)
  Q+ I3 N! W' p5 i( r  b% \( Q11月27-28，2010，武汉，中国
+ L% j5 p* w# [' e5 o% Rhttp://www.icdbta.org/
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论文提交日期: 2010年8月18日
) i0 c! |6 ?( Q: z5 u论文录用通知日期: 2010年9月 16 日1 w, R8 `( X. k. k$ x
论文修订版本提交日期: 2010年9月22日
+ u! Y: }( K$ G/ \论文注册日期: 2010年9月28日5 _. {  B0 d! l
论文提交系统: http://www.icdbta.org/dbta2010/submission/
9 @# I8 t* F. [* v/ l会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc（只接受英文稿件）8 i9 H; _1 V! C6 O. q, }
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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# [2 J3 q% s5 s( y. |$ 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。9 ?9 c$ F9 R1 V7 ~" ~
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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：: ^# c- r! S1 D. b
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1. Database and Related Issue
9 I3 F  ^5 \( n. NTemporal Data0 ?4 J, I3 V- j/ N
Scientific Databases& ]$ w( }% ~: Y0 M" h
Business database software+ b. ]8 z: Z8 y
Computer data processing   C3 |1 ~5 d% ^2 K) j6 Z" x2 {
Data processing services
# d$ A# W8 `+ t9 M6 LData processing supplies
' z0 o# ]9 g: ~4 b  B' TData processing systems
& B* I% T' M, V2 ~$ Q3 l5 K* zMetadata Management9 P: h- |1 F( p5 j7 s6 k
Mobile Data and Information
$ b; E. D1 t( j! ?  w! W; c** Databases
2 Y5 ^. x5 s: ^4 E" C3 ^4 \! CWWW and Databases$ q$ \* f2 l' j8 f( g- K
Workflow Management and Databases
3 O$ ~6 ?: m6 {XML and Databases' z' s7 }7 `3 M
** Databases
  Y- v& n% }; e5 m! CData modeling and architectures" |$ u! A) K4 \# C) o+ R; R
Data streaming, data provenance and data quality
0 B1 P7 F) l& f3 q2 ~9 C- EData Security, privacy, and data integrity 8 i  b1 i6 L6 }! R# H+ X) @
Web Data and the Internet
7 Y7 a7 |8 j; D3 ?) ?XML and databases, web services
$ E9 T* u- C$ ?Semi-structured data, metadata
0 x5 p3 c! D$ }" j. ~3 Te-commence
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3 W+ T9 e: k5 [. p  y' s' N2. Data warehouse and Data mining
4 x6 ~0 ^+ _$ H, R4 c$ u9 F) |Grid/Parallel/distributed data warehousing
" A: X) D. Q9 Y4 u& G6 m7 ]Web/** data warehouses
+ t: S5 u( ]+ c0 ?Data warehousing and the semantic web
  L2 S& P% l& Q4 GData warehousing with unstructured data
- D/ t3 `3 m4 H5 a; B" yIntegration of Data Warehousing
7 d( \* `. ^* [4 ~- H1 W9 ?Data and knowledge representation
( K- @  ~4 u1 J0 N) @- @Languages and inte**ces for data mining( [& u1 W$ w- y7 Z8 i: t
Data integration and interoperability4 M+ J  G/ d  i- V
Data extraction, cleansing, transforming and loading% ?: }: N. g% E% S  \; B$ x
Data mining and information extraction, u" h# w4 L- n9 G
KDD Process and Human Interaction
$ Z& W  c4 ?- R8 E' yOLAP and Data Mining# R1 r4 y* z- r# @( E
Parallel and Distributed Data Mining& }$ d* p* Q7 E4 Z
Physical database design and performance evaluation7 i, r7 m& B$ |5 M4 Y5 m. b
Query processing and optimization5 L- q+ X7 V+ a& e
Reliability and Robustness Issues
$ b2 m; [+ {9 a; ^$ \Semantic web and ontology
. G. F0 \) z0 e2 F! lSoftware Warehouse and Software Mining$ g/ ~. t0 l) x" d7 u5 [: D
Social and mathematical statistics
) T9 \; j; c  c+ b* nNovel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
8 q" u! L8 e( F# [0 S$ w$ a$ Z' |  IDeveloping a unifying theory of data mining
( ]5 \5 y+ `" b6 f  IMining sequences and sequential data% d, Q9 V4 l6 ~3 Z9 p
Data pre-processing, data reduction, feature selection, and feature transformation
" n4 N8 Z2 b; z: @! sQuality assessment, interestingness analysis, and post-processing
) _! G6 `7 k& R6 M4 }Mining unstructured, semi-structured, and structured data: y& `6 F3 x5 `; ?0 u- o5 B
Mining temporal, spatial, spatio-temporal data
+ g/ o5 C) \9 e4 U# gMining data streams and sensor data
* c8 g2 Q, r  f- E( IMining ** data$ [* |; b9 g- C2 ^
Mining social network data
. v' v9 e% V+ r( w! K% x! S, P% nHuman-machine interaction and visual data mining & @# v  b: K. P; o# e+ w( F
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
6 g) W* D5 n' `! r, C9 HKnowledge Acquisition & Management
! S6 J/ h2 g- b- gKnowledge Modeling7 f5 R) S9 `* t1 n
Knowledge Processing+ ]; g: n! p7 T/ [5 Q
Integrated KDD applications and systems
: e' u2 ]5 m. [9 F+ p2 zBusiness Process Intelligence) _; O5 Z: ^2 n- J" |4 T# e" E
Cluster Analysis and Knowledge Base system/ q7 C; {: C$ }
Information systems technology
  @! ~& N# j1 O0 POther related technology about data mining
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) X& b3 l& ~& I2 m8 `. |7 `" N' d: n: R3. Computer Science and Related Technology 5 e6 k0 N8 f: L4 w1 h* g1 p5 B
Image and signal processing 3 q5 x  C. B& J: Q
Artificial Intelligence
+ P+ o2 g# P7 J, b1 B- _! }! jSoftware engineering
! X, E( B0 ^1 MSystems Engineering
5 H' f0 ^; L% s7 |Computer Graphics
$ y1 i( }' s1 i  R* G; |Computer Application 5 W% ~% W- }5 I
Control Technology 2 I9 Y. ?) f5 ?
Network Technology
" }8 _$ ^) R1 g8 F' g* z' l: f6 WNetwork security $ s0 d3 q# J9 F6 A; Z  Q" N' s
Numerical and symbolic computation
4 w& E6 W5 a1 [* z, zComputer Modeling and Simulation
; r4 n. N  u0 \8 BCommunication Technology 7 G9 y; B) G2 F% I; M
Algorithms and data structures
" \( o7 h0 \4 `  ?Computer Education6 I" l/ r& f0 d0 u8 ~% E% k: V
Other Advanced Technology
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DBTA2010会议联系秘书处
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" @) f% C, D# I1 Q邮件: dbta2010@vip.sina.com, info@icdbta.org) q: V! U' `+ W1 d
电话: +86-15102769170
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作者: 数学者    时间: 2010-5-9 13:35
逛逛~
作者: liuxn_2005    时间: 2010-5-11 19:36
顶一下！！！！！！！！！！！！！！！！！！！！！
作者: wuyemin    时间: 2010-6-7 03:11
好东东~~~~~哇哇哇哇~~



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