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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)
6 W- y, p0 l& P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)
6 y' n$ E% n" l- f- r  @  l$ g. y11月27-28,2010,武汉,中国
  ^) U+ o& _2 F8 `http://www.icdbta.org/
! f! ]; O3 Q7 s- |/ p2 `2 o! Z8 S9 x1 r1 S0 O
论文提交日期: 2010年8月18日
1 u+ I8 j+ x9 k; W" t, D论文录用通知日期: 2010年9月 16 日
% i2 q  L! l& V! p论文修订版本提交日期: 2010年9月22日
8 y$ A% H  ?9 x  w/ t. y; T8 _& ~论文注册日期: 2010年9月28日
) e5 P5 W3 w9 @% C1 S# f. d3 ^论文提交系统: http://www.icdbta.org/dbta2010/submission/
3 I* u$ ^0 Z; T+ H' ]3 e( ~& |. F会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)
; E( e" \' V8 z: S. ~$ W& I) eIEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)& u7 p4 I! \) }5 b4 N
& K7 m$ m% L% @7 y8 g& P2 F
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。
+ F5 S' X' v: L* q9 h, U
! L! b9 q  c" t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:: _. V& E8 J5 o3 ~
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1. Database and Related Issue
& \* s2 @3 @+ z$ qTemporal Data
* l. E! X+ [$ n% \Scientific Databases
' g5 E' b* W0 f2 T) O5 ABusiness database software# r; Z' [3 o5 g% S' {
Computer data processing
/ U6 c$ z5 N$ j& A+ B! d; SData processing services
3 H7 @6 e9 N5 E1 EData processing supplies
8 B" [# |  d: W7 H0 ~8 c7 [9 HData processing systems# E% b+ K# L6 I- ~, b1 h8 m6 X
Metadata Management  c+ k2 P3 `3 G' m1 R* S8 C( A0 ~
Mobile Data and Information
8 f0 m0 z; o' C, V# F** Databases
7 g: x# V# Z8 G4 j8 L! LWWW and Databases* M) }& x1 Q1 H: z' X% l9 p
Workflow Management and Databases
3 h- t6 e5 z' ?( n% HXML and Databases; l5 P& e' u# ^) E
** Databases
: k" u0 N+ w( o" y3 |. xData modeling and architectures, A1 G6 P! b( _( x- \1 T  n
Data streaming, data provenance and data quality/ D& D6 ?$ o" L8 q9 h8 ^% Q& s* @
Data Security, privacy, and data integrity 8 k$ x; K7 T# J
Web Data and the Internet9 x/ }- E# ]" i# T' t6 T
XML and databases, web services
" l0 @: y" H) |$ i& d0 ^- vSemi-structured data, metadata
; _3 E8 v' L1 H3 ie-commence" M6 t+ Q! |2 q6 X0 e
/ G% m8 A, h% @& u& f' l4 \% B
2. Data warehouse and Data mining% \- Z6 `6 h" X- K
Grid/Parallel/distributed data warehousing
) t) [  J7 n0 q2 e4 |" u! wWeb/** data warehouses. T1 q1 ]# {3 n
Data warehousing and the semantic web$ _8 v; l) P3 o# F+ {  v+ Y" G
Data warehousing with unstructured data
' f, s- _$ l7 K# a0 a' e# C) s) s4 @Integration of Data Warehousing, Y/ a' p  v) a2 K: ]7 B
Data and knowledge representation2 ^' C. s" ~  `& ^7 R
Languages and inte**ces for data mining
6 ]6 F6 s7 g' ^7 Q0 H' QData integration and interoperability, _# X/ K  e+ [$ c; {4 U8 ~9 W
Data extraction, cleansing, transforming and loading) |$ U; v/ F7 `1 H. w. t
Data mining and information extraction) g- b) U% p" F4 x* c
KDD Process and Human Interaction# K& d8 D  H7 |" x0 Z  J/ m
OLAP and Data Mining
& n: T, P8 c" @9 G( zParallel and Distributed Data Mining
- b  Y7 U! t* x& d" C  K# `! ^3 PPhysical database design and performance evaluation
2 o/ ~! h" v9 i1 B' M8 r* L: DQuery processing and optimization* e& I# N* x# g0 T( N
Reliability and Robustness Issues$ K1 H; i8 X% s" _/ t
Semantic web and ontology5 h9 [, r: J6 b- N0 M
Software Warehouse and Software Mining
1 y, F) _4 k& q2 `+ p: KSocial and mathematical statistics) `: L6 Q& G2 v
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) # F' M! A0 W, B2 F3 Z; T, _8 a
Developing a unifying theory of data mining 0 J/ k: L/ m& p; y2 p
Mining sequences and sequential data! U7 z2 C; x1 _/ ?$ f
Data pre-processing, data reduction, feature selection, and feature transformation 6 k- J+ A" {, L; e( t) j
Quality assessment, interestingness analysis, and post-processing
& J: t+ Y1 g1 W4 xMining unstructured, semi-structured, and structured data
0 I( [3 \0 t0 P  K2 ^, `; RMining temporal, spatial, spatio-temporal data
- ^& ?, X  p$ J( u  Y* mMining data streams and sensor data! r- M. n2 L4 O) U
Mining ** data
$ D5 C- l7 O2 pMining social network data
. V5 r& i* f! nHuman-machine interaction and visual data mining
: H0 n1 w- x; DData mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
7 _9 Y, v1 x9 y, j9 t8 D, x# E; }Knowledge Acquisition & Management9 ~7 V8 S; N4 F0 ], a# K/ h
Knowledge Modeling
6 k& t9 A9 Q1 d2 ]Knowledge Processing
& l. D: L5 g7 c7 |* ]# O: b% tIntegrated KDD applications and systems   p( n! Y9 O; l' z7 }
Business Process Intelligence4 ?) c0 o( s9 b% N5 Q
Cluster Analysis and Knowledge Base system( ]( m& q8 `6 J0 }
Information systems technology, ]2 `/ T& U: V4 `; m% F' b$ H8 y
Other related technology about data mining7 n% S! }3 T1 I+ z. D9 h5 F: |
' ~1 n: a2 D6 M0 g8 [$ x
3. Computer Science and Related Technology ( _0 T$ V: c. Z; X- q, t  i
Image and signal processing % L0 w! a" |! ]
Artificial Intelligence
. C, _7 {) {4 D) M, k. _; E: dSoftware engineering 9 M5 V4 [  j1 q
Systems Engineering ' @/ G  Z: M7 t1 a! I% z( h
Computer Graphics
8 Q7 b$ L: R; q) @! k3 A: jComputer Application 3 K$ F9 l# F: W  H' l+ Z9 D
Control Technology 7 [" p5 G3 L; p' B; R" i
Network Technology
; B5 X* G) y% L$ K5 q% k2 r! b( YNetwork security
6 u  w5 a! F* S; V4 lNumerical and symbolic computation- L5 u- p. ^2 n- x/ ^! P
Computer Modeling and Simulation! o1 G7 Q3 a7 }3 S
Communication Technology
; Z/ g5 T3 O! m/ v) qAlgorithms and data structures! Y- y" @3 d5 V0 i! B( \1 o% M2 @
Computer Education
) L/ \) F* a' V9 X2 O2 J5 VOther Advanced Technology
) K, B; e1 Z5 m1 _) V  j, Y$ h( J- m  A1 i" Z( m4 F) F1 q( u
======================================; x8 d3 D, \% m
DBTA2010会议联系秘书处
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邮件: dbta2010@vip.sina.com, info@icdbta.org
2 s" d' W' l: Q9 o. @1 L; h电话: +86-15102769170
  s3 W) m& U$ H/ K& {8 e2 H( E======================================
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