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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 2010-5-4 16:05 |只看该作者 |倒序浏览
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The 2nd International Workshop on Database Technology and Applications (DBTA2010)
/ r* \3 X, G1 }" P  O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). Y* v3 r4 Z. g: d3 r
11月27-28,2010,武汉,中国
' h! W$ V+ L, x# j0 `8 `http://www.icdbta.org/" B. y% a. ]8 o' c0 |0 x% v
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论文提交日期: 2010年8月18日
# J; I: k: R5 u' O# z' ?论文录用通知日期: 2010年9月 16 日
. ^9 O6 f0 k* j. x3 K论文修订版本提交日期: 2010年9月22日
: G3 s0 O0 W0 s+ }6 N论文注册日期: 2010年9月28日% R, M* O6 f+ x: c$ _7 b6 }3 X
论文提交系统: http://www.icdbta.org/dbta2010/submission/+ G0 `9 z6 D# Z& [9 d6 q
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)& s' m% t+ }$ B" g% h: o& g' A0 g
IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)6 A- W; K" K' t: ?

0 p+ _# v! W& P( d  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。! |1 d2 u; B$ w  X; q7 Z( @# t
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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:
1 Q1 }( s4 i. A( A- P8 W
- S) H( d# T, p. s$ b" ?; e# C9 b1. Database and Related Issue % L& q, y! s4 ]
Temporal Data( C) b# Y5 o% D" k. k
Scientific Databases, [8 |" n3 l+ l9 q1 ~% U* f! s
Business database software
5 p; V3 H  z, V; ~( O8 [6 Z% g6 WComputer data processing 4 F( t' M) D% _6 N7 v$ z
Data processing services
- s& S8 ]4 |9 o0 kData processing supplies $ R8 I1 H; E8 R) Y- b
Data processing systems
& c: t, n9 Z9 V: mMetadata Management6 N% c$ ]' e* [; V# K8 z! V1 `1 d" t
Mobile Data and Information
6 }1 r8 Y8 I: A5 G& B" t+ ]! O5 R** Databases& k% _* D8 z. Q4 p' e: k% Y& J
WWW and Databases5 t" Q; Q0 P6 z5 B3 p$ s
Workflow Management and Databases
# i5 m9 U5 ^, e/ N* i) X- pXML and Databases# J. o( N# d: G2 u& \( Y8 e
** Databases
- b, J5 O; e- \! Z8 Z- D! ]* }Data modeling and architectures
6 ?6 q: t' X" YData streaming, data provenance and data quality# s$ M  H% }! N/ R- D8 M6 t
Data Security, privacy, and data integrity $ C  ]# [- ?6 q( o# q* M
Web Data and the Internet
0 P. J- Z6 p$ H8 w% d7 u; ~XML and databases, web services
0 R6 R1 z7 S) H- B) s, F& m$ l* eSemi-structured data, metadata8 t1 D0 W. b- c! Z6 [# _6 Y
e-commence
# h; L* R5 w+ ~* \
7 R& W# o) Y' {3 z0 o( }2. Data warehouse and Data mining
5 O4 V: G3 N2 }! ]# DGrid/Parallel/distributed data warehousing. a8 u2 v" l2 L2 g  |
Web/** data warehouses
4 x# F" {7 T* ^Data warehousing and the semantic web
& {6 t' H; V$ G& w4 u- e& ~Data warehousing with unstructured data' M# M9 f4 ~$ Q+ m. E3 }
Integration of Data Warehousing
9 \- [: @. O' R3 c0 q0 aData and knowledge representation
. B' u6 U& U; t3 P: l& OLanguages and inte**ces for data mining
# X  r! [3 c9 b; BData integration and interoperability
. x" y: z8 f0 U) F& LData extraction, cleansing, transforming and loading- z$ U- b; J$ [6 F2 A
Data mining and information extraction
4 C' r! a; @' [0 X1 {2 v4 P& vKDD Process and Human Interaction
# T/ I8 x7 ?% a7 eOLAP and Data Mining* f( k1 I  z: H4 B6 w
Parallel and Distributed Data Mining7 U5 `( Y$ {( X$ h
Physical database design and performance evaluation
; S+ c2 q, e5 J' w& ]3 m# \( PQuery processing and optimization
7 F5 r, `! G$ n1 NReliability and Robustness Issues' v/ C' T  k  l& r, E+ b
Semantic web and ontology
! L- ?: Q9 \# }+ f* u- eSoftware Warehouse and Software Mining
) D" m$ c( v4 C5 G9 R- U4 q8 _+ t7 ?( DSocial and mathematical statistics
: \' c0 b5 v0 g7 w- R; F) [  T* mNovel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) & t) `6 S: T* Y2 o5 r9 _
Developing a unifying theory of data mining 4 ?' O) W- W$ _! X" i2 e
Mining sequences and sequential data
( x* W% p7 P& f6 }Data pre-processing, data reduction, feature selection, and feature transformation
+ P, d* ~. d* ~# B  v0 |  ~/ _Quality assessment, interestingness analysis, and post-processing ( ^7 P) ]+ i$ ~; {
Mining unstructured, semi-structured, and structured data
$ Y# |# E+ h# H0 q; w+ XMining temporal, spatial, spatio-temporal data" s, Y- \5 d, U: {. I9 z7 Z! Z3 G1 ]
Mining data streams and sensor data' t& s+ h( y" K6 g  b* V) \  d2 {1 N
Mining ** data# s! u8 l5 h. i- }* h& ?4 c% |
Mining social network data5 k! ^1 B+ U. w: q2 v4 r2 f" i
Human-machine interaction and visual data mining
) K0 I' h- k4 A$ M7 c* NData mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)$ z1 M! D2 Q& `3 V6 s# }5 V- ~- u
Knowledge Acquisition & Management
9 S: f7 Z, k( f* W8 v$ @- G1 XKnowledge Modeling* k8 E1 e' C% A# _, S9 c- S2 \
Knowledge Processing
( f6 h0 k( Y7 Y" o) x- oIntegrated KDD applications and systems   x; l9 d2 J2 n+ m/ i! ?
Business Process Intelligence4 V: B  G7 R7 H% D3 d1 V: |0 p4 [
Cluster Analysis and Knowledge Base system
% m' _+ E8 {* _. [2 EInformation systems technology8 O3 o, ]  X1 O
Other related technology about data mining
$ d0 d# {3 _: f2 d0 h( _9 G3 D' L
) z1 L% h- n. m, T3. Computer Science and Related Technology " o4 v2 p% ~- ?
Image and signal processing 1 ?8 K" F* c* m
Artificial Intelligence   Q$ M; Z  t+ u8 D* z
Software engineering
4 @4 p6 h* d! _1 FSystems Engineering
2 b1 i! i$ G6 r, q4 i: F. y- KComputer Graphics
' X6 Y" y% O9 Z6 o/ L- b" PComputer Application # s# ~0 ^& n% i1 F
Control Technology & a/ v, N& y7 b
Network Technology 5 |+ z3 C' V5 h/ l
Network security ( c# E' c& x  g3 g" q" o
Numerical and symbolic computation
, \+ Y# a9 h3 M3 N5 nComputer Modeling and Simulation
9 @1 k, F# j3 `5 `& ECommunication Technology
! O0 \7 x* T5 V1 \2 ~Algorithms and data structures
' ~) H  v+ O; vComputer Education
* N; [. }9 A0 f2 g: |: p2 _Other Advanced Technology
& j4 _2 E% E; t0 a. h  j' |$ l% e( u4 j+ b5 z, e
======================================3 I3 h6 k' c8 z+ f6 J3 B  I- s
DBTA2010会议联系秘书处2 E$ X, I+ P9 Q( K

' J9 a* l/ L" w邮件: dbta2010@vip.sina.com, info@icdbta.org
; y! V4 e% N! L/ M! U  h: k电话: +86-15102769170
1 |6 E: z* j6 W4 r( p======================================
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