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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)
. \7 O7 k5 @6 w: I5 S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)
% l" p3 T" j& a; E  c11月27-28，2010，武汉，中国 2 E- r& l2 R2 b. j) g6 c
http://www.icdbta.org/" z! O  R% G# ?0 l, q
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论文提交日期: 2010年8月18日4 L& W  I# u6 g6 V2 k, j
论文录用通知日期: 2010年9月 16 日' A; r2 \' {2 k2 t+ Y  D  O
论文修订版本提交日期: 2010年9月22日
. C6 Y1 q2 V% B* J% z论文注册日期: 2010年9月28日
! d% T* O6 [9 B- j/ R' e3 c论文提交系统: http://www.icdbta.org/dbta2010/submission/) N6 |9 I. s" j# k4 T
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc（只接受英文稿件）
" t) r7 a6 u! ^- E5 m, D# [! ?IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc （录用注册后提交）, q! g+ }5 L8 e2 D! P/ O( ~

' D- u9 Q; N5 b! Q4 B! E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。
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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：0 j) H9 L* a8 ]/ L) g/ O1 D
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1. Database and Related Issue ! {! e7 C: a, ~1 [) o4 F( r0 _# b
Temporal Data
8 s+ a, U- T5 L5 _Scientific Databases
, l) T% X8 u$ [  n7 `: PBusiness database software
, P, E2 R2 ^: y+ ~4 F" b! PComputer data processing ) \9 @* q( D2 m- n4 V
Data processing services
/ ^: |* o$ O0 z; C( _Data processing supplies 1 G5 C* ?: l3 |/ K3 a* E
Data processing systems! F: |5 A: D7 A
Metadata Management
  C. f8 p  f( e5 M1 g# U/ B, r2 U# QMobile Data and Information
1 S  T* T4 y9 Y( V8 c$ _** Databases
5 o1 S+ x/ k1 bWWW and Databases' C' Q  z. }8 L- i- X
Workflow Management and Databases! ?# J1 c% Y. x/ @( F& i
XML and Databases# V0 f9 H& ?6 V, \' j
** Databases
+ G* V8 U5 ?! D! Y( B9 {0 ~Data modeling and architectures. E5 p: S$ `+ L8 x
Data streaming, data provenance and data quality$ W" P' f' d  j  N7 `& C1 e
Data Security, privacy, and data integrity
7 f4 ^. q$ ?+ C9 ?' @4 Y( yWeb Data and the Internet
! K- y! o2 T4 d8 ^  a' ]XML and databases, web services
) b4 \4 r: U6 N5 M  mSemi-structured data, metadata
& n+ I4 S% x, @, O2 \  q. de-commence5 X0 A) b% t5 I5 p7 k* m) h

7 Y0 x& U4 _' k9 U- e/ C3 W  z9 J2. Data warehouse and Data mining; U+ c- v) ]; k2 M$ P
Grid/Parallel/distributed data warehousing
- u3 ^9 n5 f( x, a) zWeb/** data warehouses
2 T3 k1 K8 ^' z; n; @1 uData warehousing and the semantic web
% {$ l3 ?/ Z& _9 ]/ y3 ]Data warehousing with unstructured data
. L& O, O- Y- j' {: KIntegration of Data Warehousing+ h% G- w0 N/ x+ R* L4 t
Data and knowledge representation
7 W% {$ U2 c& p: T( e" q, aLanguages and inte**ces for data mining
/ E  K8 T6 m% `% r. ?Data integration and interoperability
* E5 u# p$ ]' c5 [9 v1 z- ]3 HData extraction, cleansing, transforming and loading
0 l9 X- d$ ~% [4 kData mining and information extraction
- U6 |9 Y& E/ f2 V3 d- p  k6 R: dKDD Process and Human Interaction
9 _, Z' P  R, y% \0 Z' N1 \9 @OLAP and Data Mining
; e( M- N6 p- P; }Parallel and Distributed Data Mining+ ^- w' ]7 v, j: p
Physical database design and performance evaluation* H& W& D6 i9 @! q8 W
Query processing and optimization. q/ N% E' a2 U4 Y! {
Reliability and Robustness Issues+ w9 u- R- Y4 p  _, a
Semantic web and ontology
9 b6 j7 n/ l& WSoftware Warehouse and Software Mining: V7 _4 R! l* g( d$ h
Social and mathematical statistics* \% @/ V- r) v7 j" C
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) 4 e' h; |$ {6 T7 E' \( ?2 A8 c
Developing a unifying theory of data mining
  A0 p! y6 Q1 ?# U1 @/ v( uMining sequences and sequential data
- |& ]5 @( k% Y, d7 J! F, Y% ?Data pre-processing, data reduction, feature selection, and feature transformation
9 _( u5 c& x$ ~Quality assessment, interestingness analysis, and post-processing
) `4 a% ?7 o3 l" S! R9 H8 c" ?) j! o! ^Mining unstructured, semi-structured, and structured data
9 G* Y& S  i' ?4 B' T+ ~Mining temporal, spatial, spatio-temporal data
! m, x) Q2 G2 R3 d% A; oMining data streams and sensor data
5 z; K- X* ~+ x  t5 BMining ** data
% w1 g3 w1 a6 zMining social network data
# |  V; n0 f& L9 OHuman-machine interaction and visual data mining
$ y, ?+ x1 _( @9 D3 U, ~Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)! l5 U: [/ E, Q4 X
Knowledge Acquisition & Management6 N; i' n: V. }) o
Knowledge Modeling/ b3 P) Q6 _! |
Knowledge Processing
2 q, K8 e2 t8 t$ X. E) FIntegrated KDD applications and systems % a- {2 m6 p; g  [+ ]7 u0 m
Business Process Intelligence
% C' d0 c3 u# z/ M/ M6 `4 u/ gCluster Analysis and Knowledge Base system* |9 K) D4 U" [) n4 \
Information systems technology3 {. O2 z4 W2 O5 T6 Y* L
Other related technology about data mining
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3. Computer Science and Related Technology + `/ j4 ], R1 y6 l. w; ]9 I" W
Image and signal processing
( t$ y  f- F" w3 r7 C2 {4 AArtificial Intelligence
# ?/ _& X: O) s4 xSoftware engineering ; S- _/ N9 ]* ~. v  f) g- X
Systems Engineering
  E# E: |/ u" H1 aComputer Graphics
* L$ l6 G/ v* j9 `+ CComputer Application
* T$ h: t# j+ E) vControl Technology
$ H' M8 Y, m% s2 i& X4 _! |( f) YNetwork Technology
* }7 S6 O% C! t7 E! d! H# dNetwork security
: r- B6 X1 g# o$ T5 X: @; r0 bNumerical and symbolic computation
- y% V/ r  K! C, X6 lComputer Modeling and Simulation. G" A7 A  m  w; W" s3 n# g, I7 N) i
Communication Technology * {; n" |5 {) E. x5 c" g" k
Algorithms and data structures. l* ~; P- X% |2 k
Computer Education) C! i9 g) _8 \/ v  c5 E5 E6 ?
Other Advanced Technology4 l& g( ~, E* ]- X/ ~
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" L9 {/ I" F8 p* A7 Q; ADBTA2010会议联系秘书处
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1 q- j# Z$ v2 U; e- Z& r邮件: dbta2010@vip.sina.com, info@icdbta.org$ S9 \' B9 `( d+ m1 _4 f, x
电话: +86-15102769170
2 H- T2 X5 e7 i, O$ S* X8 a6 D======================================
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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