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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)8 ]2 o, p" `9 E  Q7 f
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 d4 T  d. N3 C; ]( ]" S9 m11月27-28,2010,武汉,中国 * A! ^( E6 }" J# o& |, O: M0 R
http://www.icdbta.org/; }+ Q, X3 \# g7 v% w8 |2 {

9 s3 ?  [5 a# R8 i论文提交日期: 2010年8月18日9 V) H0 O$ L& y; y7 M
论文录用通知日期: 2010年9月 16 日* S+ Y5 I8 q$ u1 y2 q8 F, q
论文修订版本提交日期: 2010年9月22日4 _  X5 \* ~/ z. N& I0 r
论文注册日期: 2010年9月28日
; A9 |% x; i: P5 R* ]论文提交系统: http://www.icdbta.org/dbta2010/submission/3 V5 Q1 Y0 n6 B& c
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)
* ^8 ^4 o8 }0 ~9 V2 }IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)! I9 A9 O5 I1 P. R
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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。: w7 e7 b; J3 l* Q
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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:
  `' e1 X7 Y+ A: I9 C) N; i) r6 v7 v9 F5 F& C% `, m0 x7 L
1. Database and Related Issue " y# a+ y* P! p( q
Temporal Data( ?( n7 H7 {# X
Scientific Databases; |1 A7 O8 S( d0 @, l2 l
Business database software
/ N3 C& k  y6 Y& O1 q7 rComputer data processing ; m# F# y: M0 n+ k
Data processing services : C4 t* y7 a1 j8 q
Data processing supplies + G& V% J+ E% T( N6 S. [( q
Data processing systems& L$ N' K9 v9 Y! m- W
Metadata Management( [( p! b5 k5 f' J; w+ e8 G
Mobile Data and Information
7 _4 k' u) L& E% T; k7 x6 S* b* J: [** Databases6 C) o3 V) q$ O/ a) x! w
WWW and Databases
2 J( o4 D* p% jWorkflow Management and Databases
' ]) m1 Q8 H3 dXML and Databases
4 X1 A! j( b4 _7 D' S) P6 K** Databases7 J3 y* K& o; K7 J
Data modeling and architectures
6 |1 N  _) w3 Z. K8 _4 ^! X9 oData streaming, data provenance and data quality
3 E0 b$ o( U' {. t1 e6 yData Security, privacy, and data integrity 5 R2 c4 O4 {! F& |* Z+ Y
Web Data and the Internet
0 r% e# H5 c+ j) n+ ZXML and databases, web services7 M9 g8 k% M( r: [
Semi-structured data, metadata
% W, ]1 \/ K' l( U. L; u* z/ K- F3 _% Fe-commence
! F" A/ q7 u; {" H1 K; W# R) Y4 E# \3 X/ q
+ _; e' u% q0 G; p2. Data warehouse and Data mining
2 X. k$ L# R& r" a! g- Z+ gGrid/Parallel/distributed data warehousing  t$ X: l8 O( r& A; O' H0 R- z
Web/** data warehouses' ^& u/ y! h! e' ^$ A, o- f2 S
Data warehousing and the semantic web
: m: v# ^3 w' WData warehousing with unstructured data7 P" o5 f/ S% A
Integration of Data Warehousing8 N3 P8 V" e+ W- g
Data and knowledge representation
/ Y! d+ {, M) ?* F4 L4 fLanguages and inte**ces for data mining) d$ f: t: i5 O; X& C# }
Data integration and interoperability
) F! S! {5 q! F4 k" rData extraction, cleansing, transforming and loading
. Q6 n7 ?6 a' v3 p  WData mining and information extraction. J, l4 y2 X5 q5 L
KDD Process and Human Interaction
- F$ v! w' G6 D6 C3 \OLAP and Data Mining
2 x/ c# p- W3 y# h+ M( M% G4 V! f9 @Parallel and Distributed Data Mining2 B  R' H) i, M! y) [' H) y
Physical database design and performance evaluation
  V7 w, l  W' W; o8 B9 `Query processing and optimization
) R9 W- t9 C& b7 TReliability and Robustness Issues( N: x; `! S/ K4 A) {
Semantic web and ontology
( W. ]& I4 q' Y1 y1 x' O7 OSoftware Warehouse and Software Mining
, a6 k' ?+ U- w3 u% ASocial and mathematical statistics
* A$ z$ s0 ~! `* q7 s3 XNovel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) : a) Y5 j8 L- U( R
Developing a unifying theory of data mining % X7 |# U+ C4 e5 [' |5 j+ }6 V
Mining sequences and sequential data; \3 ]& p3 J7 Q. ^& u+ `/ X4 {; x
Data pre-processing, data reduction, feature selection, and feature transformation ( e* g  [' F" @/ \
Quality assessment, interestingness analysis, and post-processing
) o& S2 l+ C) u" o2 @0 bMining unstructured, semi-structured, and structured data' N. b) L& `% N+ M0 U5 Q' e
Mining temporal, spatial, spatio-temporal data
: S* ~* n7 G2 W" [Mining data streams and sensor data- K; y9 `8 i$ `& w( O4 h
Mining ** data
4 U7 n& c- Q6 e$ ?8 PMining social network data) d( d2 ^5 y  g
Human-machine interaction and visual data mining , O; U' N2 p3 O+ z3 V( v# C
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
, e) l" r/ k; ^2 o' }6 _/ }Knowledge Acquisition & Management. l( e" Z$ N7 [, c/ R4 k4 {, ]
Knowledge Modeling# I6 X# o3 M# a2 N
Knowledge Processing7 C, S! \- K4 H) T5 K
Integrated KDD applications and systems
  y$ l2 K6 q/ ^3 d  rBusiness Process Intelligence- j1 A6 q. F+ B3 }5 u
Cluster Analysis and Knowledge Base system
3 E/ |2 t5 K% E2 Y! vInformation systems technology
% l1 [* m4 X( u1 Z% X- aOther related technology about data mining
  k+ c' P7 k' S' Z+ O7 S! `+ j; O; t, ^& f8 Z) N( [# d
3. Computer Science and Related Technology   Z7 Q! m$ M# b% o" B
Image and signal processing 7 `7 j$ [) K  t/ @/ O" p
Artificial Intelligence $ ?! ?4 [9 c( ]6 t/ w1 K
Software engineering   O& l2 K, {) m) @: u$ h* U. M
Systems Engineering
$ {5 p% p: V  a5 W! y% b! XComputer Graphics
% i) D( T) c, X6 m. W% v4 k5 ]Computer Application
4 G/ M+ O" Z8 X( d2 gControl Technology ; d: Y+ g& j4 Q: }
Network Technology 6 ], A# V& i" V% T8 z9 R
Network security 3 o2 |7 r9 Q# x. G* O$ b6 a
Numerical and symbolic computation0 Y0 E- Z1 z' s, ^/ L: S
Computer Modeling and Simulation
! `' G4 u7 [( _/ d7 ]/ d% g8 A: \: xCommunication Technology 5 \) L- D1 J: n1 u$ f, e
Algorithms and data structures
0 D& g5 }: O( v* f, B) iComputer Education
2 L6 C' n# g. D( V0 V* L/ w5 A) dOther Advanced Technology
' ?1 z$ L- A2 h: }2 J$ h
8 @# O& ^6 N$ X; r: S======================================* q# s2 X4 o' _: \8 `% O
DBTA2010会议联系秘书处+ z, j! }" ]: j- v4 u) t& u

# S# t! N4 _" i' h邮件: dbta2010@vip.sina.com, info@icdbta.org7 O3 w# e& L# T/ H! R
电话: +86-15102769170
9 R- Q( N  T5 U. t3 _( q+ h======================================
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