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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)& u2 P5 F1 ~* x! ~) x3 t' _
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)
2 P0 |, `+ X; q5 v2 \11月27-28,2010,武汉,中国
, H; T7 c0 k% s6 K* ^$ ]http://www.icdbta.org/0 _% K+ A- z- `6 E6 Y9 K9 ?; Z5 M2 @

$ B& p! `) B; [# e9 V# ~- H& U论文提交日期: 2010年8月18日
8 E5 i7 K3 z4 V/ A论文录用通知日期: 2010年9月 16 日
* R" Z: t2 i6 L% {  C4 Q论文修订版本提交日期: 2010年9月22日! ?6 N% v: x( }' x/ N
论文注册日期: 2010年9月28日3 }* [9 a1 L9 {- s3 p
论文提交系统: http://www.icdbta.org/dbta2010/submission/( o: u5 J5 r. y" D- F, H" P' O
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)  n  g: |  ~4 A3 ~# g
IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交); o' N2 {4 `3 S

3 B  r* C2 I( E2 G+ B3 y2 O" z# l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。& b' V+ K3 |3 m6 S% D& n+ ?" n

9 [9 q( k- {2 `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:
- L( Y1 N  i4 n' P. R
! X. q* e4 p; r+ J1. Database and Related Issue " Q' d3 \/ r; F7 }5 V, u7 c" d2 d
Temporal Data
: O" g, j) s! U( N9 CScientific Databases
* z6 A9 O5 ~+ s  Z: SBusiness database software7 l! z: B3 P; Y
Computer data processing
$ c# p& N  I. i; [1 o5 o% [$ AData processing services
7 s) M8 A% S# i& j3 ^% hData processing supplies
8 E% o: z  z7 @: `; QData processing systems
9 W8 _: W! x: X" P# OMetadata Management
% U% w( d( K1 [0 K% CMobile Data and Information
7 W2 _" Z0 q' s+ q** Databases
0 u2 {- ^* Z% _- ?! bWWW and Databases
- j$ g+ N  A. C* q% ~  g. ?/ VWorkflow Management and Databases
5 i4 D8 I3 Q6 B) JXML and Databases
" G# A. @- O8 j** Databases
2 W; {! ~" W" t- lData modeling and architectures% I% k5 e/ C1 `( Q" X0 D7 e
Data streaming, data provenance and data quality
% A" ~5 |$ t* I6 tData Security, privacy, and data integrity
5 v$ o" {; f5 g5 w7 B; CWeb Data and the Internet
/ Z8 m' H& q, Y7 mXML and databases, web services
, U  b/ P& _# V# _" B, BSemi-structured data, metadata$ c) e7 P4 v  C7 g
e-commence3 O7 T+ v/ \( E$ c, v
9 N/ g5 }, I0 ]3 [( T& a
2. Data warehouse and Data mining
- c) ?/ x, R8 N% O" C8 |- Z5 CGrid/Parallel/distributed data warehousing& g- @' B# t& G
Web/** data warehouses
0 Q, x  ~% M3 ]! o; m" a& DData warehousing and the semantic web4 E8 d, F+ K) o. p0 F, S- Y8 q
Data warehousing with unstructured data' U4 X, |+ x) C  z
Integration of Data Warehousing- f7 Y4 ?" R9 g$ U6 \
Data and knowledge representation
# O$ O7 u& b! ILanguages and inte**ces for data mining( i4 F1 ?: a# W% Y5 l
Data integration and interoperability4 w4 v% n. [2 k; ]5 z
Data extraction, cleansing, transforming and loading$ O# ?) e$ q5 }4 T2 O3 S
Data mining and information extraction
& p6 `5 `; o" BKDD Process and Human Interaction
; g$ L- M, B# C9 v& sOLAP and Data Mining
, U) ~3 A3 I' @( W4 U0 n* hParallel and Distributed Data Mining
. G, ]: s' U- x( z3 QPhysical database design and performance evaluation# s: t) J+ N. T# S5 Z. c: \" ^) n
Query processing and optimization
/ J; s' u0 m$ \1 H$ Q3 q( TReliability and Robustness Issues
8 m0 s* q4 b! H7 |3 s( B" ?Semantic web and ontology
1 I; @4 c6 b- a, j* }2 Q* S9 B% uSoftware Warehouse and Software Mining
8 \( j3 a( z: q: Q) SSocial and mathematical statistics
2 b% o. k& p, C7 hNovel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
" D* t$ ^: }/ b2 x& IDeveloping a unifying theory of data mining
( t, q# L  v" w; \$ bMining sequences and sequential data1 f: `; m1 k! w$ O1 w
Data pre-processing, data reduction, feature selection, and feature transformation
+ ^! |8 \/ A( ?0 I4 a% f6 b3 SQuality assessment, interestingness analysis, and post-processing
' R, m% Z+ Z) l+ h  vMining unstructured, semi-structured, and structured data
# d  d6 w, x$ ^" Q. l: EMining temporal, spatial, spatio-temporal data
0 s/ B, ]' e& ?Mining data streams and sensor data1 ~: L% t' z- s# y9 q# K" m0 I( ^
Mining ** data6 a/ `/ h9 e* t+ _4 {% k% f7 ^  V
Mining social network data- R( R7 p, ?1 C8 R0 i
Human-machine interaction and visual data mining + C& c5 N- x7 N( z/ F
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
  J' F. Q8 ~- \/ m, y4 L6 lKnowledge Acquisition & Management# b  U4 B# F& M" r
Knowledge Modeling: t5 a; r( O* l$ Q: `
Knowledge Processing( ^& E: @) u; a0 A1 o6 ^% g" Y; `
Integrated KDD applications and systems   u+ E) E. f/ o
Business Process Intelligence
: j- I9 F; K, fCluster Analysis and Knowledge Base system
: c5 U) F- a# V% i$ G* tInformation systems technology! V, w. c) h6 S" v) \
Other related technology about data mining
) t' F7 G* m( x
6 B* U7 L5 ?' V3. Computer Science and Related Technology
$ ~% F1 b) M( s/ F- O9 `Image and signal processing
4 n/ P1 @: L- {2 s8 C8 x, tArtificial Intelligence ( h1 Y4 H* {  }
Software engineering
* ?% c# d3 J0 ?( ]; I1 u% Z5 J2 SSystems Engineering
- c' A1 U% Y( n2 q3 A7 @Computer Graphics
  T1 h4 c* w- L" n) b+ yComputer Application 9 F( G6 {! E& u
Control Technology
# Q% c1 T/ a! `7 SNetwork Technology
3 g4 d: H' k. I3 |& e7 K( e9 M+ zNetwork security
$ x* E  u) N/ `9 aNumerical and symbolic computation
& e3 D  m$ `) S$ ]Computer Modeling and Simulation. g: ^$ Q; n  ]+ C5 B& r- a3 W) w
Communication Technology
" G4 {9 Y0 |% W+ H7 H( o! K9 JAlgorithms and data structures: w2 f4 X( g$ }! Q9 M! Y# A
Computer Education
  T+ I$ a' W1 LOther Advanced Technology
9 D% O2 T4 j' i5 S$ |2 l$ E7 ~( E9 N. q. |. r/ E+ a
======================================" q* J+ R& {. U4 v" a
DBTA2010会议联系秘书处% c! H9 T3 ?0 R. J
" E1 C) c0 m+ \& N# S
邮件: dbta2010@vip.sina.com, info@icdbta.org/ H( y- g2 P: ], S  X2 a4 N9 t
电话: +86-15102769170
, ?- ~% ]" k# o, }# D5 l======================================
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