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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 |正序浏览
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The 2nd International Workshop on Database Technology and Applications (DBTA2010)
# _5 {4 ]0 D6 g. c& w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)
" L( t: V1 ]7 `; M9 E11月27-28,2010,武汉,中国 ) t, G: o; x6 [
http://www.icdbta.org/
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论文提交日期: 2010年8月18日% G& X% @/ m1 \0 X# U& L5 V
论文录用通知日期: 2010年9月 16 日& T2 j! ]0 p# l
论文修订版本提交日期: 2010年9月22日
, h3 b/ c  g3 e2 g& ]$ _1 K论文注册日期: 2010年9月28日8 k# E1 g: p3 c
论文提交系统: http://www.icdbta.org/dbta2010/submission/$ I3 q$ a( B2 }2 R( V
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)
, C' f5 b* D- i$ N) S* IIEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)
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7 k# W6 y5 p# z8 ^3 I/ U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。
! u$ h  H# B1 `) |* X5 E# f2 D; k! d' L" 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:
) G2 }" @  H1 L1 I6 K2 L" G1 `/ c" }* t
1. Database and Related Issue
0 I5 q$ v2 o  s# a. s+ J5 rTemporal Data! i2 v8 l% o( ^& \$ h
Scientific Databases
$ ^8 T$ I8 a- k, q: WBusiness database software% l$ C) r1 t& `, |0 l$ @& j* W
Computer data processing 5 l& \. {9 p, r0 R
Data processing services
8 i! M6 R6 d5 W" k- ?Data processing supplies 3 j% O" m: j0 L0 d; O- H' B! r
Data processing systems. [" Z" c4 e# L4 a. ^3 ?4 b
Metadata Management9 T' v2 Y& e+ B" \: O, S
Mobile Data and Information( c+ B7 k$ x4 D, `3 h; Z
** Databases6 I' l- l3 t; {. H6 P. `; ?% V
WWW and Databases
/ o6 g. O! ?8 X' y  n3 NWorkflow Management and Databases( b4 {9 W# W, v9 Q
XML and Databases. @$ I" z' k. W4 M# I- g
** Databases
: b+ ^# n  t% \" wData modeling and architectures
6 L" h, M" X% i- T. j/ D8 lData streaming, data provenance and data quality1 [3 W& w$ p8 ~2 `4 U. @& M
Data Security, privacy, and data integrity
4 _' p. S$ B2 X2 f- l1 YWeb Data and the Internet4 Q' m$ O' G4 E( T$ w( @( e
XML and databases, web services+ s- P7 J1 C& [" @
Semi-structured data, metadata5 P: O6 s% u- `& P& n& m
e-commence
& w% S9 ?: ]- M" g# n
! Z5 _, u8 S) z3 c1 h: ~9 w  I4 ^2. Data warehouse and Data mining
! h, D* X3 ], B% e4 W7 Z/ gGrid/Parallel/distributed data warehousing  n# _4 `: [& ?$ q) o4 t+ }
Web/** data warehouses) N) S4 n6 T& J
Data warehousing and the semantic web* M7 o; g% {$ _& o! B: K
Data warehousing with unstructured data* t, z! O$ s1 U' L; l' T
Integration of Data Warehousing
9 H0 h, Z) a# @1 UData and knowledge representation
, G. M6 f( _3 p2 Y" r; d6 q# W: DLanguages and inte**ces for data mining
1 H) Z$ @; ]# c3 ~1 kData integration and interoperability
* \# }& ]4 B# {Data extraction, cleansing, transforming and loading6 ?1 A# H0 C. E6 o3 p
Data mining and information extraction, H: p$ h- _$ \
KDD Process and Human Interaction
5 s7 a" ~0 B8 N) n$ AOLAP and Data Mining/ D1 [# X# L: Q) r5 d
Parallel and Distributed Data Mining
- ]0 n1 ?) }- K1 F" n# `: ]% qPhysical database design and performance evaluation
: ]6 Y2 x5 Z  t3 b# rQuery processing and optimization
* {" r# X6 w: z- M1 C  D5 vReliability and Robustness Issues3 k( Q% {  E# M& I5 U) B
Semantic web and ontology7 P, \! X( ~4 ?$ J4 g* d% q6 ]. ?3 z
Software Warehouse and Software Mining. \7 A: w9 v( l6 {7 l$ f
Social and mathematical statistics
& f  n7 F: c6 q& ]Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
, c: z% x5 q+ W4 F+ j5 aDeveloping a unifying theory of data mining
  c3 w2 b& M, I# h/ IMining sequences and sequential data
: b& j* O4 |" }8 iData pre-processing, data reduction, feature selection, and feature transformation $ K" Z! v# h# j6 k9 Z
Quality assessment, interestingness analysis, and post-processing 8 w- N  R* A( _# M
Mining unstructured, semi-structured, and structured data
8 R9 d5 P; F: T# [- ~8 y3 wMining temporal, spatial, spatio-temporal data
8 `  c2 F4 s# {) a: _2 s5 EMining data streams and sensor data
+ }# d( |3 C) _5 f$ s; rMining ** data: i* s$ p% Y1 c. @! L
Mining social network data
. I* K* I$ k. D3 |Human-machine interaction and visual data mining
3 ~* X/ ~. g6 B  G& k) I6 [! dData mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
- `' ^$ {/ t- h6 J' d' U, k3 fKnowledge Acquisition & Management0 i" {1 G7 n& L; W" s
Knowledge Modeling  ~' M# H" m; N5 @/ {# w
Knowledge Processing2 l, N, e& o: H) e5 q& W
Integrated KDD applications and systems
) S- i+ u/ `& `! F, TBusiness Process Intelligence
8 q+ `/ ^, t6 r, I3 c' pCluster Analysis and Knowledge Base system
9 n) N) D! L& t% D) f& D$ RInformation systems technology
2 J: U. C$ f% m1 H% G  Z+ \Other related technology about data mining; L; B& t; R' a( t( ~! y8 v% @7 O

% c7 R  K& M: I( K: W3 F& X& R3. Computer Science and Related Technology
% i7 y! B9 U( ~- F* I2 U$ mImage and signal processing
  f$ m- ]) v1 A' I7 D" O0 _Artificial Intelligence
( R( K# A1 d& }9 j) d0 GSoftware engineering # ?. b1 K) F' r8 K  w, x( ?
Systems Engineering
% Q2 r' @) j  ]- _8 AComputer Graphics 3 ~$ V# @0 {) A% y0 c* p' E0 I& V
Computer Application . g. K3 m: s- U; ~* h  H0 u0 ^* y
Control Technology
2 z6 \  w) E0 SNetwork Technology
2 ?- R0 Q; H: t, x% L9 DNetwork security
; @3 Y( S/ ?5 w. s" W/ g" @. |Numerical and symbolic computation1 E' O: |! ^, F2 j: b
Computer Modeling and Simulation
" k1 i3 e+ `: H, U4 h+ tCommunication Technology
2 N; ^/ T$ `- _Algorithms and data structures9 {$ [9 X8 ]1 p' Y. P
Computer Education  K7 _7 F# }( H
Other Advanced Technology/ O; D( P. I: d6 h* @5 {

: k- C9 F5 F  J" n======================================
. B! j7 \% u& O  ~/ q) sDBTA2010会议联系秘书处
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! [7 m/ _0 N4 {; t1 C$ t% O+ E邮件: dbta2010@vip.sina.com, info@icdbta.org+ V) Z2 e+ L0 s
电话: +86-15102769170/ Q& E/ t! ~% U" @0 @
======================================
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