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标题: 第二届IEEE数据库技术与应用国际会议-DBTA2010 [打印本页]

作者: power2010    时间: 2010-5-12 16:42
标题: 第二届IEEE数据库技术与应用国际会议-DBTA2010
The 2nd International Workshop on Database Technology and Applications (DBTA2010)
' v; j5 ^  A! c" g$ G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)
" z8 B4 H! ?2 ]! ?2 q/ c( p) j11月27-28,2010,武汉,中国
  f; H( r1 B% E; u/ Lhttp://www.icdbta.org/
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7 y$ h( b4 N8 A: }" z4 t6 g) T论文提交日期: 2010年8月18日
, ^3 e$ _4 n- u, O- T) ~& ~9 B6 B3 b论文录用通知日期: 2010年9月 16 日
/ z4 q$ {3 n9 p9 }9 a" f论文修订版本提交日期: 2010年9月22日
: C  r) p5 X9 N; J6 P" J论文注册日期: 2010年9月28日! R  h0 D- ^0 ?: p+ R& ?2 y* Z, ?
论文提交系统: http://www.icdbta.org/dbta2010/submission/" S! o3 g* s5 e2 ~! H) _5 G
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)
; Q9 G) S6 h) U/ q( l0 u$ \IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交), s' N. g+ @. U& p: f

- [$ A. x" V; v) h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。
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, o/ W# F# |6 m+ ]0 L2 Y# x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:9 x+ M9 _" ]: H8 J& F

# V; i$ @9 X* @1. Database and Related Issue . R9 d( [  m! H7 y9 k. c
Temporal Data: R5 ?- V0 F- W: u7 s! ]* B
Scientific Databases
/ R9 C' m" A* m3 W- fBusiness database software* ?! w% g, p. g7 }3 \$ A$ p' \
Computer data processing ( u3 }; L& n6 B. Z
Data processing services
( U, P" `7 T( S9 T3 mData processing supplies 4 u: t% q3 H% E7 [0 p
Data processing systems
* ]; a0 d* v; D4 e: w& oMetadata Management1 w6 u- R: B- o3 E, e
Mobile Data and Information
2 w* o! Q% Y8 b+ w6 _5 G- {** Databases; `* I+ h; ^2 L4 ?
WWW and Databases
" f- V) B/ `- l& lWorkflow Management and Databases" @5 D: Q! y; p) q) |; G* C; n; r
XML and Databases9 {1 P5 U8 D! g1 Y# a/ M4 a
** Databases4 f" m( D1 ^6 l, K- ]9 S# b, \
Data modeling and architectures
4 Z. d2 k' W% aData streaming, data provenance and data quality: l" |6 f( |2 o4 N+ l9 r
Data Security, privacy, and data integrity , V; Y+ v" G' B
Web Data and the Internet
1 c; t# @: u8 K6 YXML and databases, web services
% Z$ L& |& I1 s. C/ c3 V" vSemi-structured data, metadata& r, G& G8 m$ s" Q! C& w' g
e-commence
7 O/ v7 X: W4 p& ^$ e8 z  x6 ?+ w9 \1 T
2. Data warehouse and Data mining
3 C$ A) n* b, n# N/ G- p+ ~4 V& R5 ~Grid/Parallel/distributed data warehousing7 U0 A- h* |# k: ]
Web/** data warehouses
/ }: g. Z2 M. T1 c( [Data warehousing and the semantic web
# r% m/ p. x9 X4 e6 }+ Q6 T! [: u- Z/ WData warehousing with unstructured data
* V5 R: R" I5 k* a  U2 c+ kIntegration of Data Warehousing
6 y& H$ w' o( h% }2 p* fData and knowledge representation' t( `4 ?& b6 D4 X0 ^9 o  h1 I. ^
Languages and inte**ces for data mining, K; p: H" M# c3 S+ B; n' n" L2 ?
Data integration and interoperability  ?% ?9 s4 `7 u, Q% m
Data extraction, cleansing, transforming and loading* S# W# N. T6 @9 ]* _( m' a1 z+ O* h# s
Data mining and information extraction
# h3 g; D* L: k" X' qKDD Process and Human Interaction2 [+ n- q$ F2 i, f8 M# q  N
OLAP and Data Mining; N6 [, d+ @7 |: k! f
Parallel and Distributed Data Mining& Z: w" j: ?; g5 k3 k  D, @
Physical database design and performance evaluation/ Y# C4 T1 J; Z
Query processing and optimization5 s  ]2 u. T; P" ?/ z
Reliability and Robustness Issues: a2 r0 N% p1 C6 A
Semantic web and ontology9 V8 \" k0 n5 h4 H% \. H( i
Software Warehouse and Software Mining) u% `$ f; d. X0 Z" m3 C7 @
Social and mathematical statistics7 [3 E9 i/ R7 K, e/ `; \+ p) m& E9 f
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) % ]3 ?. {! k! \0 Z
Developing a unifying theory of data mining 9 E  ]4 C4 _+ @! ?+ ~6 F: N" s8 K1 ?
Mining sequences and sequential data1 \7 ^$ }/ z6 o* }- j- I* \
Data pre-processing, data reduction, feature selection, and feature transformation + ]2 [' L4 U% m. I" b  S
Quality assessment, interestingness analysis, and post-processing ! j6 _& {3 a, [# H
Mining unstructured, semi-structured, and structured data$ l+ d7 r7 e+ T1 w  x
Mining temporal, spatial, spatio-temporal data
7 @! Y3 Z& C/ H" zMining data streams and sensor data
, E8 A- N* Q( B# Z3 qMining ** data
! Y. K+ ]. \4 lMining social network data5 r* f+ s; c, r, b* Y
Human-machine interaction and visual data mining
& S# j3 _' b+ l+ n1 oData mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)8 \6 m! P6 S6 p% _. L7 N
Knowledge Acquisition & Management
8 J& ^- G! L; D0 _% YKnowledge Modeling
4 q! \0 H( ?) U0 y- JKnowledge Processing
) G& U; \. u7 C# L" h/ F$ \Integrated KDD applications and systems
5 M8 E' R, N" a1 W1 i2 QBusiness Process Intelligence
  t$ M! q& u) ^& ^1 jCluster Analysis and Knowledge Base system
7 g! \! {6 e. k* E  v3 c7 bInformation systems technology# W+ `* g$ n  A4 A/ G& p% C
Other related technology about data mining8 @/ O1 I3 g/ I, }) |' }3 b# [

! j" H7 F4 N/ A1 q/ d  Y) O/ C3. Computer Science and Related Technology 8 [9 o) Y) r3 k0 i: v
Image and signal processing
" g5 P! Q* E  F6 U. w: I& G$ g: \* k$ fArtificial Intelligence , e* E3 v! |- s6 f1 C( v
Software engineering ; P9 ^/ P: M+ t1 \" K% w
Systems Engineering $ {3 s! p6 Z: R4 r' h" M
Computer Graphics ! A2 K2 X0 p  w0 ~- B) X4 c2 Y
Computer Application , i8 {1 k2 i$ ]
Control Technology
- k3 i! H, M; ^) eNetwork Technology
8 t' g; j- Z, E' uNetwork security
5 X( F5 o' L3 X  t  x+ ^Numerical and symbolic computation  Z5 |* _1 B2 H2 k4 B5 U* i
Computer Modeling and Simulation
) n0 {5 x5 S: j& a2 iCommunication Technology
; I' |. V" z9 I# i) TAlgorithms and data structures
5 \, {7 ?) X2 ?& v9 IComputer Education: F1 O; E! |+ X0 S! p
Other Advanced Technology
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DBTA2010会议联系秘书处
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邮件: dbta2010@vip.sina.com, info@icdbta.org
8 D& |9 |5 q! Y( [/ P电话: +86-15102769170
8 h- n2 v" ^# C- N+ j6 m3 v) p0 K======================================
作者: zdshitiaogou    时间: 2010-6-1 08:39
抢沙发了。。。。。。。。。。。。。。。。。。。。。。。。。。。。




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