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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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发表于 2010-5-12 16:42 |只看该作者 |倒序浏览
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The 2nd International Workshop on Database Technology and Applications (DBTA2010)
- o' F& e+ L6 ~' c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 Y! Q' \5 t& D" C6 N! N2 A; i11月27-28,2010,武汉,中国
5 V) T2 I" y7 _9 Y  bhttp://www.icdbta.org/
6 S' W! O) ~$ o  ?. B. c, x, g8 {+ ~- c; p) ?
论文提交日期: 2010年8月18日
/ E# J" n: F" ]' _7 @论文录用通知日期: 2010年9月 16 日5 t* B) B: ]( _6 w; m6 i
论文修订版本提交日期: 2010年9月22日
7 g5 R' ~. |; ^* \. U5 h( F论文注册日期: 2010年9月28日
& q+ D: |; E  m2 Y1 D3 g, H论文提交系统: http://www.icdbta.org/dbta2010/submission/
  J; R/ M) T8 ]6 ^4 r/ T8 w会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件). H5 F  B# Z& m/ S; T; T. g
IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)& I6 o$ ?8 d9 L' L% o) F( |
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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。
/ E% T7 Q3 o; a1 E1 C; o6 n; r  _0 W: w8 h% H' Q) y3 z
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:
& O# A- ~0 |. w% |  j& y4 X* F& l5 \
1. Database and Related Issue
3 v' G' Y; l( STemporal Data0 k  B$ K8 n  V  i+ S" |
Scientific Databases
% u- n8 w  ]- f/ sBusiness database software% E& O) _# c9 r) W" _1 {
Computer data processing
, ?+ A) n6 @* C6 l) y9 K7 wData processing services
8 E- `' m1 E: XData processing supplies 7 z, h! x" ~- O1 d
Data processing systems$ T$ j: I3 M7 I; U3 u) A
Metadata Management! Z& S% `* k" ~8 }
Mobile Data and Information8 ^* u" ?" k. ]2 R* A5 w4 c
** Databases
' t* G. t  ^' ^: Y5 f, dWWW and Databases
" v4 t3 E1 J% g9 B( lWorkflow Management and Databases- H4 b1 z+ I( k( c4 \
XML and Databases  w3 ~! s' X* P5 N
** Databases
$ t' T0 @% E! `3 u1 E* I9 B$ j" B$ QData modeling and architectures* d) S& T! Q6 i- J& p
Data streaming, data provenance and data quality" m6 ^: n' J8 w
Data Security, privacy, and data integrity
# z1 I- o9 E; E$ g  c" @Web Data and the Internet- b1 w. n  c3 M" x: }
XML and databases, web services5 I! Z+ w6 u7 e" X$ t4 h& ]
Semi-structured data, metadata
' Z' C: q9 [* h% R/ }8 a0 W8 P, Te-commence
, Q/ i# I% Y2 G, Z5 \% }9 @: P  B* R3 m9 i
2. Data warehouse and Data mining
3 p# S/ F0 p! t) l5 o7 q3 @Grid/Parallel/distributed data warehousing
! r9 l2 {& w8 |& AWeb/** data warehouses' l4 w$ F* j/ o5 N4 Y0 O
Data warehousing and the semantic web
' y! v: j3 t, x3 J# y6 S  I$ RData warehousing with unstructured data+ ^4 p, p0 u) R( E+ ~
Integration of Data Warehousing
1 t6 `. z7 `" Y% h% l7 XData and knowledge representation$ E6 d( P, R7 d% M* S' l- @8 d
Languages and inte**ces for data mining7 F, l6 N$ K9 p* p* K
Data integration and interoperability% x2 {2 n) F. A' ]. B& i
Data extraction, cleansing, transforming and loading* Y: P9 t5 W; ]' F) r6 H$ D% E$ L$ R
Data mining and information extraction- r& k, P' p4 F7 m) t* d
KDD Process and Human Interaction) o- l" |1 m' a7 ~
OLAP and Data Mining
- s0 W  y; w/ Q& b( Y) ]5 G9 HParallel and Distributed Data Mining) T5 n2 `# z' W" n' Q
Physical database design and performance evaluation
* s6 `0 M/ K. v+ T1 w/ y9 FQuery processing and optimization) {( K! C2 S# R2 t, j# o
Reliability and Robustness Issues
/ R6 K7 C+ n+ R/ g8 [+ V2 Q1 \Semantic web and ontology/ c* @/ U0 w6 A. g
Software Warehouse and Software Mining3 G9 h9 D9 u8 ?2 q4 {
Social and mathematical statistics- }( r& `" G- z
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
, _7 c1 U/ H$ H0 \( p- N+ n! ]Developing a unifying theory of data mining 7 D2 \: f5 |2 P' Y. t, D
Mining sequences and sequential data, e3 F# G: q2 C7 o5 N$ o
Data pre-processing, data reduction, feature selection, and feature transformation
/ a% W. C: J# K, uQuality assessment, interestingness analysis, and post-processing
: t, |' V; b" X" U0 j/ V% ?Mining unstructured, semi-structured, and structured data  _; ^# a  q+ A+ o9 S" ?
Mining temporal, spatial, spatio-temporal data1 X) X$ I+ M# f1 @3 T7 z/ h  f. U
Mining data streams and sensor data7 D9 A+ d/ i% r
Mining ** data
9 m0 ?1 q/ r( o6 E* KMining social network data/ M3 y: }8 W- [2 v2 d! t# `5 d! \( [
Human-machine interaction and visual data mining ' R( y) p" G+ f) o& |# e; q
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
/ q% L) f- ~, ~5 V8 mKnowledge Acquisition & Management6 E* b0 `) H5 j3 U& Z8 y) K6 j# V
Knowledge Modeling2 h8 N2 A: t: O4 S% N  F0 o
Knowledge Processing
3 |7 ]* Y' Z$ I3 `9 O" cIntegrated KDD applications and systems ' q6 B( n6 Z. s; Q( U
Business Process Intelligence
  M# V3 ^1 J3 x' ]! BCluster Analysis and Knowledge Base system
- b4 ^! U' U9 y3 `Information systems technology1 ^% g8 J8 `$ N' s; G* s1 w% q
Other related technology about data mining
' R. p) z( W; ?' |9 R7 W2 H/ ~* o1 E; M: G) Z
3. Computer Science and Related Technology 5 ?- K9 X7 o9 [/ W6 h: `7 K2 g
Image and signal processing
. ?9 g6 n6 ]. z& @Artificial Intelligence : n/ n# O# p; u6 l* H# N
Software engineering 3 k/ C) t% t) ]$ i- |: t7 r- W
Systems Engineering
, n8 M! W, }/ K8 t. w/ }4 qComputer Graphics
" z8 F: R# D, i* |* Z7 NComputer Application ; y# b/ ]7 e, N5 H5 c2 V" {4 R
Control Technology
, C4 H0 v, H. g/ ]% p: W1 A* mNetwork Technology
0 m- C% o- T0 G! m5 t+ zNetwork security " ]8 u) A& i: H' C) F" P( `& y
Numerical and symbolic computation& F7 R7 \! Y$ P! S: w
Computer Modeling and Simulation
+ Q% ?9 t6 Z; {3 J" g: o7 kCommunication Technology
- E3 y5 {" u) i; a" d9 ^: }+ _( bAlgorithms and data structures3 K& @& o# S5 i7 j% P3 q+ E5 o$ t
Computer Education5 }. V# R- X9 l4 a) R0 B
Other Advanced Technology9 t, V% P' v. j& f6 c
+ Q" ?2 Q; V) y2 M, l
======================================
3 X) i  o6 Q5 s1 VDBTA2010会议联系秘书处) Z2 h  y- o$ E7 s

) S3 ~. l4 a  a( }6 A7 f0 h1 H4 s邮件: dbta2010@vip.sina.com, info@icdbta.org2 t; I+ L$ S% d& X/ L% L8 j0 R
电话: +86-15102769170# \7 q( @" w& V" A
======================================
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