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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 2010-5-4 16:05 |只看该作者 |倒序浏览
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The 2nd International Workshop on Database Technology and Applications (DBTA2010)
8 o" K4 i3 D5 B6 I. X- _4 q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)8 ^7 n; S, o  ^5 F
11月27-28,2010,武汉,中国
9 s$ g; m4 w5 Ihttp://www.icdbta.org/& j# \5 }5 k  s* C8 q2 |1 G
) |0 g7 H- V- R0 t1 R3 j
论文提交日期: 2010年8月18日  S# T6 v; _- [7 s! S: R
论文录用通知日期: 2010年9月 16 日0 f) D, ^$ Q. V; H- ^
论文修订版本提交日期: 2010年9月22日
7 C- U: D" w$ o. I: k% @! d( j" F1 o, {论文注册日期: 2010年9月28日- l, j9 m  [. W( N0 |3 o
论文提交系统: http://www.icdbta.org/dbta2010/submission/
  |3 U( [$ S- w会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)
# P) j, }4 l. k' V9 D, tIEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)- D, A0 S$ E# J$ v$ E" `

+ D! K5 ^5 J5 g' c( B1 P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。1 Q, k" |  ^0 D0 p0 N+ r* I( [0 r

* I6 z" @. W/ _) ?$ F3 [- B$ b$ ^! 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:
1 E' Z' J3 X$ I8 ]. W
, q$ J7 B  Z1 E% c+ l1. Database and Related Issue
/ }' h* t! r- J* E1 YTemporal Data' U5 f2 L. x) N5 y4 |  m5 W
Scientific Databases
4 E9 |$ C6 V4 r# l' O& jBusiness database software
3 z* E- i. ^" ~Computer data processing
( T. Y( c1 t) E9 W9 k7 `Data processing services ( ?  z  `$ B' X: e* S; R
Data processing supplies % j, V3 o6 n5 d0 \/ D# [
Data processing systems
; s) B- m. Y: [3 FMetadata Management& ~4 z, N! Q1 n: R4 K+ G+ k
Mobile Data and Information
8 o& ^; C& G% M5 b4 J" W% d** Databases
& p* T' _# u/ H6 j% u8 Y; Y6 PWWW and Databases
8 E+ X; w' a! C$ z2 x! |Workflow Management and Databases
# E# T, b& a  c6 C6 p3 }XML and Databases5 [* ]# j) R- e* J
** Databases8 {% v  D# {4 U3 V! Q2 S
Data modeling and architectures8 Z: m) @2 b4 a4 j, V3 D( m
Data streaming, data provenance and data quality
0 T, j* X. D" tData Security, privacy, and data integrity 9 n) {* \' c) Q
Web Data and the Internet
: P* F: ]; T' G$ uXML and databases, web services
' \' V4 X( z8 o) o3 l6 o4 pSemi-structured data, metadata4 p3 q5 ?8 R# @! A0 w! X
e-commence
* I7 Q  p1 }' S3 b9 E' j6 d; ?- y8 m% l
2. Data warehouse and Data mining
) \: G  X; }8 ^Grid/Parallel/distributed data warehousing( K2 a( x8 J# ~' Q  j
Web/** data warehouses: i8 h& y- b2 \! }" I5 F
Data warehousing and the semantic web
/ R# d6 i- T: q, }6 O4 C! MData warehousing with unstructured data0 t# x8 y) x4 |, U* g
Integration of Data Warehousing
- z  f! A& M/ X. Z% B" j( aData and knowledge representation
4 P6 {# G3 H4 E7 M* w3 MLanguages and inte**ces for data mining+ |9 ?% _0 O& L- a, J+ h! p, ^
Data integration and interoperability
3 H$ f$ c: x/ [# y  P( LData extraction, cleansing, transforming and loading! k2 B0 f4 G8 P! J; D
Data mining and information extraction. J/ ~/ O, b% M8 F
KDD Process and Human Interaction
4 Y# Z: ]* x) n6 _0 uOLAP and Data Mining& e; z9 d7 s1 i+ E8 L; D/ g. v* _
Parallel and Distributed Data Mining
! c* D7 m+ q6 h9 T# w( W% uPhysical database design and performance evaluation
& `7 U+ i: i. W% B/ m$ P4 E4 K. JQuery processing and optimization3 {8 M( J% l% N: T8 v5 u1 ]
Reliability and Robustness Issues
, J# U  h  m2 Y) I$ G6 I! CSemantic web and ontology5 s$ g' t" N/ A' P0 L
Software Warehouse and Software Mining% L. I4 `2 q% s* K5 a, e. W
Social and mathematical statistics
5 C, \0 o4 D, J, \# R5 XNovel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
" H1 t2 u( r8 IDeveloping a unifying theory of data mining
5 j) k7 h9 ]0 S! a/ tMining sequences and sequential data* P, V7 E) h! _2 X* K4 ?
Data pre-processing, data reduction, feature selection, and feature transformation ; v- g" y* F' _& Y" O- t
Quality assessment, interestingness analysis, and post-processing
( z2 g9 a0 t8 y. [& mMining unstructured, semi-structured, and structured data; B% Q$ A/ v6 j" B" M
Mining temporal, spatial, spatio-temporal data% g1 F; B1 k2 p, B% c
Mining data streams and sensor data# `. x* i! s0 Z& I5 n
Mining ** data$ Q; k5 q( F* U+ ^- T
Mining social network data) A& `* b, Z% o7 r: n  J6 g* f3 z
Human-machine interaction and visual data mining 4 ]( U, k$ x# X8 h
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)5 f8 y% Y6 ~- S, S( s2 c) M  H
Knowledge Acquisition & Management
  P* x: \5 Q/ S+ q1 DKnowledge Modeling
' O/ w/ V+ S0 b) @2 TKnowledge Processing: Y3 y% T+ J/ q% Y
Integrated KDD applications and systems
& s' o0 ?" r6 x* z4 LBusiness Process Intelligence
# x5 n4 Z- x" r! _- K5 uCluster Analysis and Knowledge Base system( m, B& I' `2 p7 `+ I3 H
Information systems technology" x% y/ k/ z  i0 w! ^0 M* D
Other related technology about data mining% @+ d7 R& Y/ m8 c9 |0 u

6 s! j  O8 h" x/ z3. Computer Science and Related Technology ) d1 F; X4 a% L2 m
Image and signal processing ( @5 Z, S5 k: o* i
Artificial Intelligence : G, D6 i; D  E/ h- t2 ]! P
Software engineering " G1 c3 V  N6 Q8 z4 j
Systems Engineering / |) o3 f& `+ E! F1 L2 L! r
Computer Graphics ' `5 a/ e$ _% N1 _
Computer Application
* ]- _* [( L* c6 r  oControl Technology - g: e: o3 Q' G. L
Network Technology 5 X! d" q8 g2 F& V' v/ {8 a  n
Network security
, Q, @4 U2 U& M9 G' S, sNumerical and symbolic computation
5 b0 ]* c4 ^6 ]Computer Modeling and Simulation
" i3 \3 e, P1 WCommunication Technology
( I+ L/ e. \* W. J8 bAlgorithms and data structures; z5 z0 F! p( G& ^0 a; T. b& j" Y
Computer Education
1 S* \2 Y5 h) iOther Advanced Technology
. \" P" m: c3 _" s7 R0 [$ V! p, v% \! {/ U
======================================2 Y3 ?% Q/ q/ U& T, y
DBTA2010会议联系秘书处. U7 q  P: Z. u" A4 }5 g# W
, u' @; ^; M% t, T6 r2 l9 x* o: m
邮件: dbta2010@vip.sina.com, info@icdbta.org" m2 D  ~1 n" m+ P* c8 s
电话: +86-15102769170
7 l4 R* B" L' N6 V======================================
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