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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)' H6 I5 [- A+ _
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)! J( g. N4 U" x) [! c  U# W7 L
11月27-28,2010,武汉,中国
) f* b2 X# M- {- q8 phttp://www.icdbta.org/5 w' [& Y- N2 z# J  [' G

6 ~$ `0 t8 v5 R# L) D" ?7 E论文提交日期: 2010年8月18日4 }' i& @" H5 d: C) O$ L# W
论文录用通知日期: 2010年9月 16 日
# ~8 w  s1 k% N# q论文修订版本提交日期: 2010年9月22日' s1 t; S( }$ o$ f0 v
论文注册日期: 2010年9月28日6 _( ?$ m7 h! U% I
论文提交系统: http://www.icdbta.org/dbta2010/submission/
, P; a/ G# W, h会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)
5 Z% f4 t- a; M7 DIEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)+ N+ F2 h& I2 O- w4 O0 f+ t
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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。8 ~, l; b# b, N, ?9 T
5 v/ s  h8 ^$ q0 H# E# D6 W1 B" H8 u
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:5 K. F' L/ i% Y! t

: O/ I  B/ B! l' P0 a2 |; Y9 |1. Database and Related Issue
' ^0 [  ^$ ]' R7 k/ ^. ITemporal Data
0 D8 V7 ]% D% z$ xScientific Databases
  d! y3 I6 X* p+ j9 R! \2 e3 wBusiness database software- |. A) Q2 ]/ C# s% {* t
Computer data processing
7 W0 e( p9 s9 k6 D5 z2 O# pData processing services
% y+ s* ~2 K4 p- ZData processing supplies 0 h2 _# M: r* c! L" `, s8 }
Data processing systems% ~2 E8 Q: C3 Q( N  _2 b0 o) ~
Metadata Management
0 x+ k9 z1 j& R1 O! JMobile Data and Information
+ c  y* g9 C' A. K** Databases
3 [4 o! r. H9 X9 j( iWWW and Databases2 I! ~- i. u0 j% x3 s2 b
Workflow Management and Databases& @$ f) r/ w! e! u. U( C* d
XML and Databases/ `% S  }3 M9 j  s0 P
** Databases
; _6 i  l- F) L' |) T# o4 {Data modeling and architectures7 @0 F2 L1 v; F  S1 b8 V* a" P
Data streaming, data provenance and data quality9 M$ r# L# O& a, U
Data Security, privacy, and data integrity
8 W0 Q2 O% ~8 |' e9 a$ W6 F  hWeb Data and the Internet
5 |$ ?1 T3 |- h$ S2 b9 }XML and databases, web services* R- m7 l4 l) x- I- H$ V! [! A
Semi-structured data, metadata
1 T3 B% X0 w% M" T. g$ _3 y! ue-commence& w8 b" }# K* F* e

4 f! {8 O! [/ h2. Data warehouse and Data mining6 ?3 }: @/ V$ T9 J9 v, L
Grid/Parallel/distributed data warehousing
7 q+ y6 R2 h6 T0 b2 Y$ s2 z7 u6 ?3 ^Web/** data warehouses
6 @- ?9 x5 ^- z% e" x! [Data warehousing and the semantic web/ x% O  I' R! A6 U, \$ \
Data warehousing with unstructured data
2 H( c' W' ?6 v8 cIntegration of Data Warehousing) ]" M$ k# Z& \' c
Data and knowledge representation
# L( [$ M6 T. B. }$ _0 ZLanguages and inte**ces for data mining- \( N( M1 z0 V2 I% ^5 ^- v7 K& @
Data integration and interoperability
0 L9 {: j9 f& [8 z% [Data extraction, cleansing, transforming and loading
- T. @+ v# k) k8 J+ @Data mining and information extraction
* Y  e/ Q- x# r3 O) tKDD Process and Human Interaction) I& G' }: `: C$ }  s. B3 i
OLAP and Data Mining
- Z0 `  B9 y$ p* z# B) B- ^) RParallel and Distributed Data Mining
9 o- R& V% K# i, w3 EPhysical database design and performance evaluation/ l( M% R$ n" I, O7 Y
Query processing and optimization$ ~. h! {; @; A' Y* g/ H) ^
Reliability and Robustness Issues0 ~) k! ]$ N4 t' h5 m/ i% D5 `" I
Semantic web and ontology4 s& N$ Z) d% H% D1 s
Software Warehouse and Software Mining
- x* m8 h4 h* eSocial and mathematical statistics
+ e' U8 e2 E" C/ b7 z* q  ^Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) . H+ N5 Y5 i& e2 R" ]
Developing a unifying theory of data mining ( q) n0 S* V5 J, o/ Q
Mining sequences and sequential data' A. S7 ?4 T; A9 B) n5 A
Data pre-processing, data reduction, feature selection, and feature transformation
4 I% K& _7 Z5 Q, UQuality assessment, interestingness analysis, and post-processing 5 j3 l4 t5 U" B, n# G
Mining unstructured, semi-structured, and structured data
; s# s) Y; j5 A! [6 o9 I+ jMining temporal, spatial, spatio-temporal data" r/ ?3 d- c- w7 G) f
Mining data streams and sensor data2 E" h. P6 I1 O
Mining ** data
# [+ \( A! e  O; b# j0 k3 hMining social network data, s8 W& l" o" Y# ]2 U/ O  W) U
Human-machine interaction and visual data mining $ Y- @9 N7 G) K
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
$ L3 T9 P3 V2 ]2 Q4 H' CKnowledge Acquisition & Management; M6 _. U! C0 o: l4 d% E
Knowledge Modeling, H* D$ u) t( I; W
Knowledge Processing: C$ M2 c$ R- Y+ `! L
Integrated KDD applications and systems
, C7 B+ ]9 b) X6 F) ?1 K, vBusiness Process Intelligence5 g" i, D: y7 X
Cluster Analysis and Knowledge Base system
. `1 y- p# H& f5 T' y$ _Information systems technology! @) p+ Y8 Y/ c) R
Other related technology about data mining* _& I6 i2 f" z6 d" a4 X( D& u
8 E" a$ @- P; Q7 V6 c* H
3. Computer Science and Related Technology
" @! ?5 Z! g! S6 q: x) A9 z6 n" AImage and signal processing 0 l! I. f5 U' O; W: a- B9 R$ J
Artificial Intelligence ' K- R' d. a/ B( g
Software engineering 0 M& G8 U3 w# {& L
Systems Engineering
) h  @8 ~6 d8 Y% H/ c' {Computer Graphics * d5 t' l* K, {' _& K
Computer Application 0 J, o8 e8 `8 c
Control Technology
  d6 U/ E1 {/ r8 n: |' {Network Technology
4 x, ~/ g8 N, g! H# b! Z& gNetwork security
: L8 H9 U8 j% u2 tNumerical and symbolic computation# [+ U- p% ]6 E1 f
Computer Modeling and Simulation: c: u+ r- k1 J" Y8 o' h
Communication Technology
) I, ]: f' d" S' S  f; HAlgorithms and data structures
+ x) N0 @1 `$ h5 m5 h* HComputer Education. O' r0 ]" p# D1 m
Other Advanced Technology
( A. k) M: l- w4 Z- t6 o; M3 h, K* b! j  U/ y4 k
======================================
& U0 ^& m$ c& [% t3 H4 Q1 I' uDBTA2010会议联系秘书处
  y- `5 k3 k0 W" R) }8 K
# N8 }1 X% U6 z7 q/ z% J邮件: dbta2010@vip.sina.com, info@icdbta.org0 H9 Z# Z' H, {6 p& `+ T, c
电话: +86-15102769170
3 u6 K4 }5 E# @6 F" C. \2 h======================================
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