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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)
* G, }! z1 t3 A4 M9 i7 n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)
* D; C9 Y- e% ?/ F. a  a3 Q3 u11月27-28,2010,武汉,中国
" x! U, y: _3 Y2 @, }' E5 ghttp://www.icdbta.org/
! W. i8 Q; w/ v: }
+ f* y$ d( W# u) G/ O论文提交日期: 2010年8月18日3 e0 A9 N2 i* T) I3 Z
论文录用通知日期: 2010年9月 16 日
" U+ g% s) c8 s论文修订版本提交日期: 2010年9月22日* X2 t. L( @0 B( N% H- _
论文注册日期: 2010年9月28日7 i( Z3 G2 n# ]7 e4 b
论文提交系统: http://www.icdbta.org/dbta2010/submission/( ~- i" `# t7 l/ ^& a
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)
/ u0 P& Q7 G4 J& A1 I! S; |IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)
! F2 `2 }& l! |7 p/ r) J! W6 {( E1 Q
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。
3 p+ Q- V; S. `" }+ m9 O' q/ E+ ~) D5 v6 n0 p0 H, D! \5 O% H
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:
% H! J4 K" E- C
! k  H! b  w: e5 ]1. Database and Related Issue $ h: f/ V6 }. F: S( Y4 _& ]) c( k
Temporal Data
) ?- p3 g! a5 ^. [4 g5 ZScientific Databases% N$ h( K/ M: M( p9 j  l
Business database software: m7 e+ w% L( n, e
Computer data processing
; n" t7 {& e# p2 M! v- D! LData processing services 3 y  [$ w* v6 ~
Data processing supplies
7 T, S3 t- y6 J- c" A* W2 A8 ~Data processing systems
9 b5 f: t, s- X# b' ~  S" aMetadata Management
6 B1 x! t6 i. ~  HMobile Data and Information4 r  l3 _) O) M$ O0 F
** Databases# v  i8 K8 j" v7 I
WWW and Databases4 Z0 ^3 k1 L1 y. P6 r
Workflow Management and Databases
  Y! r% g% c! |, _XML and Databases( b' _2 U  p" _4 e% d9 T3 c& K6 Q
** Databases% z) h. d' Q$ Z; k
Data modeling and architectures9 u5 _) n; S! Q$ o! L! M* o5 l
Data streaming, data provenance and data quality! O* X7 T% Z: ?8 L8 G9 s# X  A+ r
Data Security, privacy, and data integrity
! w5 \# O2 I% q  i* j$ eWeb Data and the Internet" A! Z" f, k8 S3 f5 S) q
XML and databases, web services
) q1 B, N, L( G5 ^, WSemi-structured data, metadata
5 X$ A# I, n  _; C4 \- h; N9 Me-commence6 y0 |$ A: x9 I/ D' |4 I
9 i( d* B. x; o! [1 q, K& m
2. Data warehouse and Data mining" ^; \) H, O$ ]: {' r/ u
Grid/Parallel/distributed data warehousing6 g( A  A7 U1 u" ^! D3 [- h
Web/** data warehouses
( L3 ]8 D5 P0 D; s; L: J% @Data warehousing and the semantic web! a; n8 s# m( M6 @$ P  h
Data warehousing with unstructured data! N, _$ o  Z4 U+ i) ^
Integration of Data Warehousing8 o5 h. q' R7 G- i
Data and knowledge representation6 t/ u2 `$ _' ?3 c
Languages and inte**ces for data mining
7 D0 V% D# z. m: j+ |& sData integration and interoperability
6 j, z* R) A7 }& V8 ?6 fData extraction, cleansing, transforming and loading  X& e- d' |8 e1 b
Data mining and information extraction
( A% r  v7 E+ T) [KDD Process and Human Interaction7 C5 i* f, N: X) o
OLAP and Data Mining: Q1 o& f# {9 a+ v. {( E
Parallel and Distributed Data Mining
0 [) {' I* X9 H  |Physical database design and performance evaluation$ a( l8 n* x- ]+ i; e4 K: E
Query processing and optimization
3 K6 ]) f1 O* UReliability and Robustness Issues
( g1 w( e* F- t1 N! x1 g- ]Semantic web and ontology) J1 o: I2 m  b6 Y* u# R" D
Software Warehouse and Software Mining
7 h3 A  U6 W! u' L8 x. U' ?% USocial and mathematical statistics
8 l4 y/ b' |( L4 ^8 [/ ?' XNovel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
/ g$ Q6 T: w7 Q. b2 ~Developing a unifying theory of data mining
8 ?/ j- O, g# ~: rMining sequences and sequential data
: J; M  w' ]2 mData pre-processing, data reduction, feature selection, and feature transformation
+ E( g# G2 q2 Q. C6 H# yQuality assessment, interestingness analysis, and post-processing % G; E; N6 j7 n% X
Mining unstructured, semi-structured, and structured data
" _+ e* D8 }% B) Y& c$ DMining temporal, spatial, spatio-temporal data
" n; \5 |0 _7 _6 R% L& WMining data streams and sensor data
. u$ d. H8 v! V: L+ s/ E0 UMining ** data
6 ]; F4 d7 G! p4 H( t) ]Mining social network data
7 L6 m: q2 ^6 A' A3 |1 p* X7 DHuman-machine interaction and visual data mining
! U; a7 {. F) l: z& \Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)" |4 U* k1 G7 c/ E1 a3 b& i
Knowledge Acquisition & Management
. ^/ }& c. r8 m0 S/ [, ]. U/ B7 vKnowledge Modeling
' N- n( N' r5 pKnowledge Processing# [# V8 `% z# t5 m2 S/ w8 y
Integrated KDD applications and systems
, W; p- ?$ o/ F  h3 i3 _9 E0 zBusiness Process Intelligence
0 C0 l1 p2 ~* cCluster Analysis and Knowledge Base system, p% w5 E' ^7 n/ m/ Q9 P# J
Information systems technology" |/ t! w# [; V$ y3 Y% A' [1 o* P
Other related technology about data mining
, n: f/ _3 [4 y- U
( V1 |/ X& F' f3. Computer Science and Related Technology
" Q( h9 e" a! e, FImage and signal processing
: b  y  N( ?: f/ DArtificial Intelligence 8 l5 N( P7 Q- U* `$ H4 ~4 ?& L
Software engineering
( I2 o% {/ W% q: ?5 bSystems Engineering
! I4 i8 F* v0 a4 q  kComputer Graphics % }# m/ \: k0 G. v9 v/ P* N- q6 [+ r
Computer Application / c' g; |, b9 X
Control Technology ! R& w' E2 {, o
Network Technology
4 U" c5 u6 D6 A3 d" A4 M% W+ i: [Network security & j: \. k3 m' Z+ j
Numerical and symbolic computation" G" c2 P7 C* ^8 I
Computer Modeling and Simulation  E% s4 ~$ n8 a0 Z$ \/ \
Communication Technology
. f3 ?4 C+ j2 ~' Y3 I/ c9 K  hAlgorithms and data structures( G, B/ h- \& o6 o4 q; |5 M: ~
Computer Education
- x* _3 O; s: dOther Advanced Technology6 @! ?% L" a2 q" f! ]
# K% {; x% V+ G9 V$ Y. I# M
======================================
" o4 [) T$ @$ h# q8 @2 h$ nDBTA2010会议联系秘书处
% J0 L, Q- }# D# e. T; ^
4 i# p6 E+ x2 q  d邮件: dbta2010@vip.sina.com, info@icdbta.org
  F: P( f9 q6 O7 X. d电话: +86-15102769170
- O2 C* f6 q7 z* s: ~; X$ u4 Y% B======================================
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