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[英文期刊] 第二届IEEE数据库技术与应用国际会议-DBTA2010

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The 2nd International Workshop on Database Technology and Applications (DBTA2010)
, o& s( i- l1 R5 o8 @$ _, O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)
% ?: ~. M+ T1 O  O/ P( R4 [/ t+ T11月27-28,2010,武汉,中国 , K+ w1 F9 E5 Y3 u& h; n: L
http://www.icdbta.org/" J6 L3 ?7 @. p% E3 `6 e6 R3 c

1 z9 J7 X6 n, k1 f. Y论文提交日期: 2010年8月18日8 S; `9 k2 N* u( ]. A
论文录用通知日期: 2010年9月 16 日3 t$ ~9 a4 `# p! h1 S
论文修订版本提交日期: 2010年9月22日& f3 J1 p: T$ I
论文注册日期: 2010年9月28日
7 K; E. c+ g3 z0 W& G# r; D/ Z论文提交系统: http://www.icdbta.org/dbta2010/submission/
! |  G, ~/ V- @9 o. n9 r$ D2 C会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)
; j$ K' m& H  Z4 v( |. ], ?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。0 n4 p6 B0 |/ P9 y/ K# t( m

$ U8 P/ @- e1 i  X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:  Z# T" s1 v, S' Q

  p+ o" u- F" G2 s, n1. Database and Related Issue $ [5 @% c) }3 S
Temporal Data# X+ h$ ^* C( R0 v1 {
Scientific Databases
7 e5 H; a) t$ oBusiness database software
+ ^1 \/ k  Q0 ?. J' J' f) j7 [Computer data processing
' t/ T% `; j: m& ]$ _4 @9 G( lData processing services
' {! @4 t) B' b2 e1 dData processing supplies
% \0 L2 a; P3 l& R; q; r( K9 zData processing systems
# P" N7 z' A1 R3 N  \( PMetadata Management
3 _6 |  ?& ~! h2 p6 uMobile Data and Information
  Y! n+ u3 o, e/ Y( G** Databases
% j; _4 A' Y- e/ G! pWWW and Databases
$ ~% E  T" s+ d( D* I5 BWorkflow Management and Databases
9 B8 H$ P' m' i/ f5 I4 yXML and Databases# K6 D+ w) L$ G1 k7 T6 o0 {8 y
** Databases! E. o! G; d/ `; H
Data modeling and architectures
. \6 T) ~  _# Y" _Data streaming, data provenance and data quality" u  T* D2 d1 {/ C4 ^
Data Security, privacy, and data integrity $ h& m' B, w) ?4 \# [+ k2 D  l* d
Web Data and the Internet8 E' f" _. R( b9 x+ E, Z' b
XML and databases, web services
- L2 P! v9 _( a. ]. KSemi-structured data, metadata
" e# _" \6 W. e- n/ s9 M4 {$ ee-commence
4 k+ ~3 J& ?* _6 o/ U% y2 d% _8 w7 \, ~5 L" H
2. Data warehouse and Data mining
- b1 e# ~$ D6 n; s$ k  v4 M& P& [Grid/Parallel/distributed data warehousing- Z0 X4 m& M$ `7 F. Y7 F& A
Web/** data warehouses
% T+ k( C! U* x# K9 l2 jData warehousing and the semantic web/ [4 A$ U  c+ i0 Z
Data warehousing with unstructured data
3 r3 d2 C( T2 ?% w) ^- V4 ?4 FIntegration of Data Warehousing1 {4 C2 R/ X9 \+ M2 h$ j+ e  L& L
Data and knowledge representation; O6 P3 ^) h* P- M( k% x, s
Languages and inte**ces for data mining
- r; |+ s4 I& L2 E* D% SData integration and interoperability
7 Y# v& d* b( D  nData extraction, cleansing, transforming and loading
) ]' E  ]% W; Z" g0 QData mining and information extraction9 U* v9 b+ @- x% d; w/ G
KDD Process and Human Interaction7 V6 I" v& X) m/ [: h* {$ T5 Q
OLAP and Data Mining
- g4 K- D' U+ z. {8 DParallel and Distributed Data Mining- M4 {' @2 K4 D$ D0 `6 z- b
Physical database design and performance evaluation
8 z8 U" n+ s7 A  V5 [# \Query processing and optimization
' Z% W5 L9 d1 W( c* Q4 ~1 WReliability and Robustness Issues
3 a, _* F- n: Y1 i# |Semantic web and ontology/ R9 z( W9 \7 z1 D5 J( V" X0 @
Software Warehouse and Software Mining
. Z# {$ u9 u( [) p: e8 A1 t$ r+ u; OSocial and mathematical statistics# @1 A" f3 b& P
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) $ q1 ]6 I/ x4 O( P& V) w/ i
Developing a unifying theory of data mining
' A) ~3 S; V* ^9 d+ s0 o6 d! A9 |Mining sequences and sequential data6 K  o* \4 b) z( i( _; o7 u5 O
Data pre-processing, data reduction, feature selection, and feature transformation + U) j, d0 G# n( t% p) t
Quality assessment, interestingness analysis, and post-processing 0 o! P5 H: a2 ]
Mining unstructured, semi-structured, and structured data% E2 Q: |1 ]- s7 I3 p
Mining temporal, spatial, spatio-temporal data
  Y& i8 h% l- Y4 k+ X/ J8 eMining data streams and sensor data1 ~! M0 y" y8 p7 F* s7 a
Mining ** data  h( s7 C9 |% Z! Z4 Q# q
Mining social network data
- ?5 X/ d1 h' b% r5 m* v8 AHuman-machine interaction and visual data mining
# ~+ Z2 s7 V! T2 NData mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)2 Z- s. A2 o+ z( {2 c. q
Knowledge Acquisition & Management
$ o: l8 f. P% Y. F/ OKnowledge Modeling
9 {9 D& Q! K7 C$ C) I( WKnowledge Processing9 o- A' O3 @, D( k- {6 Y
Integrated KDD applications and systems 0 \# p4 i( ~( o1 l* m* c& O7 G9 g
Business Process Intelligence
3 w( v0 }$ |1 ]6 B* x. @" pCluster Analysis and Knowledge Base system
* C8 c" k; ~0 n0 z/ V: l& QInformation systems technology0 F8 Y2 P8 s: g1 H( x
Other related technology about data mining
, I& r: `& X5 }8 [; R& D( l$ h7 d7 d. o" S
3. Computer Science and Related Technology
3 M$ i& ?2 t# ~- h+ RImage and signal processing - }, c5 g! G8 E3 R$ a* x2 |; ~. }
Artificial Intelligence
) a2 q' i$ Y! S3 j5 Y$ ^Software engineering " {0 u5 `% O1 m4 _" e
Systems Engineering
4 @$ R, I: v8 R. P, u/ E6 m7 h4 KComputer Graphics
/ o9 M" [2 p: H* A6 oComputer Application ( L1 ?& G7 e  L5 {/ v- |
Control Technology
. l9 u: J2 _8 P; x0 k# eNetwork Technology
7 f+ R% N8 D& F4 U0 G1 U* U# ~Network security ! s5 K! X  @; O$ j3 T1 V
Numerical and symbolic computation6 U- X6 d! s* l. u: L# @
Computer Modeling and Simulation' A6 R$ ^; W1 w3 j5 }$ [$ m5 X! b
Communication Technology ! e* g1 k. r: t/ n/ X+ _
Algorithms and data structures
: ~" u  ]! n' X& x/ p. X2 QComputer Education
; M# j; ?" I' R7 \; @- ^Other Advanced Technology
6 n# n! M4 ]) l" ?" i) |' q* E% s, Z: v! t
======================================
+ L: ?6 t- a8 i5 F4 z7 PDBTA2010会议联系秘书处9 p7 \0 B% `1 z9 E# _" F
( X% F: Q; X8 p# s, }
邮件: dbta2010@vip.sina.com, info@icdbta.org" k  O6 x* @0 D& v/ F) _6 L
电话: +86-15102769170* E; U- o5 s! x2 ?. h; @
======================================
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