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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)5 ~4 ]& t1 j( `0 i* p. |2 |5 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)0 |% X9 [, O: _4 j
11月27-28,2010,武汉,中国
+ }1 M/ O! u& Ghttp://www.icdbta.org/
6 V" w, X: n8 [: }% }  a. k$ q/ E1 U! E) b2 y' m
论文提交日期: 2010年8月18日
7 X+ b, L* R1 o论文录用通知日期: 2010年9月 16 日9 S- g# b& o) ^- t/ e& r$ I
论文修订版本提交日期: 2010年9月22日
# ^; S5 N( ^* U2 K/ Y' Q1 r论文注册日期: 2010年9月28日' \4 f: a# ]1 u0 j" e
论文提交系统: http://www.icdbta.org/dbta2010/submission/  Z5 N  K/ b" ^
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件): }, x# W9 t! U* F8 Z
IEEE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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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。
  V2 a8 z, v0 G; K4 N/ s: R
2 K2 A/ e3 Z7 b% I: a- n. B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:
6 w( U  p- V1 L! E: d  H; U/ G% ~, b  ^  F& q' h
1. Database and Related Issue
% [  _% ^3 u" H! h7 Y. V7 ETemporal Data# {9 N# C, p2 `6 t
Scientific Databases
0 v2 d0 B  T( }/ @Business database software
& N" w) W6 q/ B% }* bComputer data processing
, ~/ P1 U' |& n' BData processing services % _9 ]1 [8 q+ V9 d9 X
Data processing supplies
( F5 |) p) Z8 V) m4 GData processing systems( r( W. i9 a( Z0 m
Metadata Management/ ?; _" [1 V4 X" Z* T0 P
Mobile Data and Information1 M& j% a9 z' ]
** Databases) K8 |: m6 P- t& ^& Z
WWW and Databases8 n  S  S9 n8 H6 k. N
Workflow Management and Databases1 F3 w) s4 s# v- Z( v+ u
XML and Databases& w/ R# v! f' g0 F4 x0 N: H2 [. L
** Databases0 z: m" k% ?% C, d
Data modeling and architectures
: a  I0 z* g5 P4 mData streaming, data provenance and data quality
( x7 ~7 q% J: R# {! A0 |* qData Security, privacy, and data integrity
0 S+ g8 R9 c4 ?& ]" s2 d, `7 _/ eWeb Data and the Internet
+ Z7 H' p/ p1 n; x. s5 yXML and databases, web services8 k/ L* l5 b- \# l) w3 K2 p) N" P
Semi-structured data, metadata8 _1 h* m" f- A: u0 V
e-commence
7 B# s9 b9 ^  k! G" Q, e% [8 D& Y
8 ]6 I- |7 V0 o2. Data warehouse and Data mining
3 }9 a* R' B4 k8 x% q" `Grid/Parallel/distributed data warehousing
4 r# B5 Y; i9 {% LWeb/** data warehouses
! r6 E: I# W* W4 E8 ]3 J; m( V/ L4 vData warehousing and the semantic web  `7 X0 q4 j1 R8 f" u
Data warehousing with unstructured data" u8 T0 `& R8 p; @7 D0 s
Integration of Data Warehousing
! G% @, `0 o  ~; [1 y6 D3 O1 f6 zData and knowledge representation5 o) D' U, k3 I6 ~
Languages and inte**ces for data mining
$ x# S) ^% d( n4 |) n+ mData integration and interoperability
4 A4 b1 A" M4 |( MData extraction, cleansing, transforming and loading
2 ~) z7 M! y$ S" U3 {Data mining and information extraction% F; _& W8 e! i$ f
KDD Process and Human Interaction& y  i" |3 L: k+ O; |
OLAP and Data Mining
) G' p& a* [" Y+ ~8 T! H$ tParallel and Distributed Data Mining
$ d! ?# p% c  d$ O! D  N$ ]Physical database design and performance evaluation
7 p- i7 S+ E4 @" qQuery processing and optimization  B) Q4 b$ b  g3 V& Q( E# s2 n
Reliability and Robustness Issues
8 g$ `" `, o( {$ K; v' p, `  t9 ESemantic web and ontology; O' E$ N, o8 [
Software Warehouse and Software Mining
/ ~% V* u1 H: k' V! J1 s1 ]. ^% HSocial and mathematical statistics9 P' o' t6 h$ u# X
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) " |# j. z1 W. F4 @! p: R
Developing a unifying theory of data mining ! r, y1 h; h  i! p; v0 b: |, Q1 F# _/ u4 G
Mining sequences and sequential data! A2 f- A( P, N1 Q9 _8 A% t
Data pre-processing, data reduction, feature selection, and feature transformation - G! f! M' s$ z2 |( s& P( E0 D
Quality assessment, interestingness analysis, and post-processing
& [0 ^/ G5 s5 O/ C5 v2 [1 B3 \Mining unstructured, semi-structured, and structured data8 f5 D5 v) x8 p! P1 h# _! L
Mining temporal, spatial, spatio-temporal data
6 _' R9 J2 k  E- v1 JMining data streams and sensor data$ U' N+ @) F8 U( |8 }9 R0 Z* H
Mining ** data1 W6 p; |+ o1 ^5 P
Mining social network data
( ?( K- \: {# a( l/ B/ L$ G% S0 ]Human-machine interaction and visual data mining * k' D6 b, X4 a* `
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)2 u8 o* E4 `: U& H9 e3 t
Knowledge Acquisition & Management& z4 z" I- ]0 P' x( Q! r
Knowledge Modeling
5 y3 y# p2 h. b) W$ F( }) qKnowledge Processing3 ^9 \1 M7 V4 W7 J
Integrated KDD applications and systems
# t; Z+ x1 g/ H4 E. oBusiness Process Intelligence
: j$ H% g, O" V  P3 q4 xCluster Analysis and Knowledge Base system
% K/ a" o2 h2 h8 }4 _+ L, @2 SInformation systems technology
, Y+ y3 x) O+ E; NOther related technology about data mining
6 }/ D* F) k; }9 d# `8 P, g1 ~, x8 ^1 M
3. Computer Science and Related Technology
: @2 K, ~. R5 _& L  y! ?9 wImage and signal processing
, `9 y; D$ c' @; zArtificial Intelligence 0 w) ?4 l& P  t3 {8 b7 k6 M, g& S5 m
Software engineering
! A: m$ \: K, l. g2 r8 cSystems Engineering
2 b/ e- J; I7 S& Q3 k! P/ A* `2 iComputer Graphics
5 Z- m4 c: y4 j2 v6 b% sComputer Application + [" U; ^) Z4 o* Z( [( j
Control Technology 2 E" u) A' X7 L" R
Network Technology
/ |  p3 {$ d$ T  ?* m, k% uNetwork security
. [: Y! B! c+ m3 k/ y/ SNumerical and symbolic computation# J) [  N( p' Z2 Y* W+ ]
Computer Modeling and Simulation( C0 O) z- S, F( {0 k! b5 `2 s& }# c
Communication Technology
$ P& C% ?& n/ N; FAlgorithms and data structures
, w1 D/ X) e5 V1 x) d1 q6 QComputer Education
* k: K5 Z  n+ Z0 e9 e" X9 K& pOther Advanced Technology- C7 f! E/ Z' D" v2 y" t2 `

' g+ `/ q! f0 n; x7 ]  i5 D& `======================================# b) u7 T4 {0 w8 J5 t
DBTA2010会议联系秘书处4 p0 K$ B; c+ R: l2 D7 F

! D% R3 v1 @& r- N" s9 u, p邮件: dbta2010@vip.sina.com, info@icdbta.org
; x2 t7 X! Y7 K' N5 y+ W  I# F电话: +86-151027691705 A  ?9 q7 B' o5 p3 e( u( z3 W
======================================
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