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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)' c# t8 I! {# S' h
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)
9 i  R3 g6 R, ]. h8 v11月27-28,2010,武汉,中国 . k; a2 }/ i+ @& A- [' u2 i
http://www.icdbta.org/8 \: D9 M' E/ T1 q9 c% B& l

* d0 s9 c5 @; w  |8 g1 }论文提交日期: 2010年8月18日, C+ e5 g2 M# q( |- _
论文录用通知日期: 2010年9月 16 日
2 k, o* a* A( f$ H# b+ D- _论文修订版本提交日期: 2010年9月22日
7 H( K5 w5 I/ b5 C论文注册日期: 2010年9月28日  o$ O# Z  G' R
论文提交系统: http://www.icdbta.org/dbta2010/submission/$ ]+ _) q" t  n6 }8 D# i
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)
( x/ R( U' V$ S2 M9 S5 L) DIEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)% Q% T% i( ?2 R, U, L  \1 j& T8 b

, t- K+ I' R) z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。4 V3 p; n7 b6 C6 b! ~6 |! w

4 I; r; V8 g5 [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:! z; c/ M" d& B" J# J) J
! n6 h, S) w. c+ R
1. Database and Related Issue 2 [9 _8 e( Y2 {3 O# ]) X
Temporal Data
8 W$ b& U: Z' R' e% sScientific Databases" J, k; A. Q1 \+ c3 Q
Business database software
3 l3 e$ Q+ f+ L! ]Computer data processing
$ N. X4 I1 T% f" o# s6 JData processing services
; w3 m" {$ y- |9 ]2 H( n  Q, I7 ?Data processing supplies 6 W3 t0 A% h2 O  l4 |
Data processing systems1 K$ U- p2 ?, p; ]8 M; t. y1 G
Metadata Management
; w' }6 e2 z$ ?! Y) T0 j& RMobile Data and Information7 V3 h! b7 r3 l3 o
** Databases3 Q6 U5 ]2 ~% V$ G& t. M
WWW and Databases' J, V" b! E% }$ F
Workflow Management and Databases
$ Q" M& m# |  G2 J/ `XML and Databases  M7 N9 F& C* h
** Databases
& K  ^( s, c  Q4 U& }; _Data modeling and architectures
- q6 v& x* r: n" UData streaming, data provenance and data quality
4 ~3 l5 O9 G4 a4 K2 w) b8 e, U5 r, F+ dData Security, privacy, and data integrity 0 C' C6 ^+ S2 i- q
Web Data and the Internet
  x/ u: r+ `  H1 WXML and databases, web services
  w3 i) u3 }; T  JSemi-structured data, metadata- A. {0 u$ e0 V
e-commence  u, ^# z8 A! s. T2 w
- G  g& @/ V# B; X( w; i- b
2. Data warehouse and Data mining# s7 T+ [5 ^' K8 x: O
Grid/Parallel/distributed data warehousing2 O, t* j8 F6 o6 r6 Z" P
Web/** data warehouses
9 m+ Q5 j6 X$ X) c* S. n8 UData warehousing and the semantic web: v$ h7 e! F' s6 c
Data warehousing with unstructured data& b3 K% @% s6 ]6 r4 {8 z: H. \
Integration of Data Warehousing) }3 f- V6 J0 a) c( r- }
Data and knowledge representation4 m) t2 H) P$ x9 S( W
Languages and inte**ces for data mining. k: ~3 D% M( E1 S, C; l' b
Data integration and interoperability8 _2 H% c$ F$ h9 Y$ r+ m- H/ I
Data extraction, cleansing, transforming and loading
: p4 l$ Q# O2 h6 d% B  JData mining and information extraction
2 s5 z6 H% b; b6 S; L% CKDD Process and Human Interaction
; j3 \5 b# v. r& LOLAP and Data Mining' h+ f+ Q; s; F% F. z( C
Parallel and Distributed Data Mining' {( l* V# |) S$ y1 I/ M$ Q- w! `1 M6 u
Physical database design and performance evaluation- ?+ t) O: {( W& u4 _7 e. z& z3 i
Query processing and optimization7 r4 Q9 w. ]9 q* y; G" W. J# B! c
Reliability and Robustness Issues6 F2 m* z1 n7 \
Semantic web and ontology
5 Z6 y* H& f1 O1 USoftware Warehouse and Software Mining2 P' n9 w  K" t' n2 ~! C
Social and mathematical statistics
' |3 S+ C! m& q! T( I: gNovel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) 5 ^; ~9 p: D. C) }
Developing a unifying theory of data mining
$ ~& @8 Y- N0 v- T0 g/ I7 s; EMining sequences and sequential data
! x( z# T3 ^/ E9 |1 UData pre-processing, data reduction, feature selection, and feature transformation
" k3 s0 r2 {, ?* `Quality assessment, interestingness analysis, and post-processing   Z- [' x( H: g8 s, r2 i
Mining unstructured, semi-structured, and structured data
2 P) ^8 N5 d/ f! SMining temporal, spatial, spatio-temporal data
! V. C$ ]9 c- l* K" RMining data streams and sensor data6 B" b* {& Q+ y% L  ^6 ]
Mining ** data( c0 o2 S6 g5 d0 N
Mining social network data
, n& u; }0 {1 z* P. S1 PHuman-machine interaction and visual data mining $ m, H7 S0 e8 F" _7 t1 z
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)' D3 _) K/ p1 z! w' K8 Q
Knowledge Acquisition & Management( q8 j: ?. L2 @; q5 v7 ?2 W
Knowledge Modeling
2 X, z- C2 |0 t" W7 Z. oKnowledge Processing
- I7 |# X; g6 n; N7 P5 s7 MIntegrated KDD applications and systems ) C1 S$ }; V; {, K
Business Process Intelligence
/ Z  U& H- k& e' o" y0 TCluster Analysis and Knowledge Base system0 Q3 \! m; Q: k3 F, H1 n) Y+ m
Information systems technology6 I( A; m& e. @2 y4 T; @7 H
Other related technology about data mining7 h: }+ x3 f( {. g7 u

; i1 H8 B: u& ~, R' h8 F/ r3. Computer Science and Related Technology & e" e8 w/ W* y+ T" Y
Image and signal processing
' q  m, w. A8 h2 I: y9 h- rArtificial Intelligence
) E& S4 _" `* ~9 USoftware engineering
7 A+ k: ~0 ^% w1 _# QSystems Engineering
/ G8 O6 A$ g- j4 S0 vComputer Graphics
# N  v% |+ s2 g8 {6 [$ r" T- nComputer Application
5 i* W& f' h( eControl Technology
4 Z" W# }( {; k7 r% FNetwork Technology # h6 Z+ e0 ]8 }8 u  U" x
Network security 1 |9 f  X) d9 b" }5 ]. X
Numerical and symbolic computation* U+ x# e8 K6 o7 s1 w" j
Computer Modeling and Simulation1 y& F9 B9 g& V: {* w
Communication Technology
+ p% c  N$ A2 k8 Z7 \; eAlgorithms and data structures  ?8 X' W+ {2 H$ L
Computer Education/ a5 j4 A5 V7 _: s& t- S9 P" o
Other Advanced Technology/ t! b3 E- ^0 [: |9 K! c; d$ ?9 h

' m  ?. Y( V8 X' g2 W======================================- A- _% @; \* K0 U2 m5 B
DBTA2010会议联系秘书处
  b3 l6 |: K  H# c' E; x+ V- h" @' Q7 S4 r( c* ]3 e
邮件: dbta2010@vip.sina.com, info@icdbta.org8 d0 u+ p3 N1 f0 g; y5 Q, `
电话: +86-151027691705 n1 B: x) s, _1 Q0 {
======================================
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