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The 2nd International Workshop on Database Technology and Applications (DBTA2010)
# O2 t/ L b9 m3 x/ q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)
/ z! q) V3 ?9 }. A; N" h11月27-28,2010,武汉,中国
0 Q; |* H% u' thttp://www.icdbta.org/" N( ~ w0 L) y( L4 e
9 a' l# Y+ \6 X4 n" X2 \ K1 }论文提交日期: 2010年8月18日
; n% C ?8 z- o2 p3 D6 Q% c/ A3 Q论文录用通知日期: 2010年9月 16 日0 ^) D" D3 b/ s, M9 X) M
论文修订版本提交日期: 2010年9月22日' \# I5 j( e. [1 e
论文注册日期: 2010年9月28日
9 J. z( d, r8 H n论文提交系统: http://www.icdbta.org/dbta2010/submission/$ s) _2 O9 O% { ]& O' m
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)
/ s' d& W6 d7 V8 j8 ~( b8 ]IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)
& ]; t k* J6 i; O. ^2 c6 y" ^+ H" I" f
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。
# a) g* K8 H% Q- B+ ^% @' p4 H- k3 {" [- a1 c# Y4 V
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:
: i: J4 I% i" L/ C# p# u9 ]1 U$ B4 Z+ W6 P7 L
1. Database and Related Issue + K( V; e3 A. v7 n' j( S
Temporal Data
$ Y1 [! S5 a E. B( k1 dScientific Databases
7 S4 }" ?9 f/ }2 Q- ?Business database software$ X* [" l+ k; Q0 { r
Computer data processing 7 S1 v) c* R- {% [3 M" p
Data processing services % Q8 i7 f3 s2 C
Data processing supplies 5 p2 ]8 K q. q+ z) ]4 ?
Data processing systems
- Y% y: j, f1 V2 L2 TMetadata Management
) \# D3 A" L7 xMobile Data and Information" t& A7 J* l d3 z5 ^
** Databases1 ?: J; N0 e: G/ a2 W g" ] Q
WWW and Databases0 n3 A) ` j4 e5 }2 |8 l W1 m6 I
Workflow Management and Databases! o7 ?$ {1 ?" f/ w: Y! J
XML and Databases
) l3 z: `. {. |- |' ^8 C! P** Databases
7 Y0 [4 E1 k) G ~$ `8 [& Y8 S: ?: Y" cData modeling and architectures' r" I$ o4 n5 `1 e) B9 d4 D* {
Data streaming, data provenance and data quality. i# T8 {7 F5 N: E' k3 n. I5 k
Data Security, privacy, and data integrity
4 o. j1 G! \" x$ d" zWeb Data and the Internet
1 Z- N D: o: l6 n" s4 ?7 ?XML and databases, web services: s0 m: K2 }" E, p, ]! i1 ^( [
Semi-structured data, metadata
6 }- C& W, e+ M6 X: ^e-commence, f# B$ @: M) a. |
8 w! v% y! q: J! U2 Q3 r
2. Data warehouse and Data mining
" f1 X" b+ b n1 c" EGrid/Parallel/distributed data warehousing1 G" B4 ^' t" h2 P
Web/** data warehouses
3 q" j* F x; J- a" m! ]Data warehousing and the semantic web
4 r9 d* w! U4 i0 e: D' tData warehousing with unstructured data+ g' }, t9 R" l6 e
Integration of Data Warehousing: w/ {8 b, d9 n6 ^( ? h# w
Data and knowledge representation
7 l5 ]- \5 E0 v# [* A! [Languages and inte**ces for data mining
8 L+ k. u( Y; p+ p4 }8 g& [Data integration and interoperability% k* g2 X# h1 I' _4 ]6 ~
Data extraction, cleansing, transforming and loading
2 B- E7 _% N# D2 uData mining and information extraction
0 j9 ]. f" j5 F4 ~# `, kKDD Process and Human Interaction
7 L' _( ?3 B0 d. ^; w+ }OLAP and Data Mining! L T% B" w3 @! \
Parallel and Distributed Data Mining
# ?9 H! q: \% }( Q- K( `+ `* JPhysical database design and performance evaluation
7 A- l! ^; h0 p- cQuery processing and optimization4 H+ e s0 s9 g, l: a* q
Reliability and Robustness Issues( c, q+ O- ?3 f- Z, ?
Semantic web and ontology& T. C$ P: A* F2 X, g/ U
Software Warehouse and Software Mining
# Y# u4 k$ m* a, K0 @Social and mathematical statistics
. R7 ?; }; u5 m# }Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) 0 A, D3 ]% U5 W7 }8 e1 U" ^
Developing a unifying theory of data mining 4 \4 z i! ]& _0 }+ [9 _
Mining sequences and sequential data
# r' L0 `- f# [0 F( uData pre-processing, data reduction, feature selection, and feature transformation
, a8 T2 _/ O3 KQuality assessment, interestingness analysis, and post-processing
' T2 A+ F+ ?) w. f5 }+ z! A3 l2 @Mining unstructured, semi-structured, and structured data2 P# }% C9 F1 ^6 {6 \; N
Mining temporal, spatial, spatio-temporal data% K2 u% H) I! y- b. ]8 z {
Mining data streams and sensor data0 G# P, x, i( ]$ ]" ^' o' [& U
Mining ** data/ F9 h. A' t# A
Mining social network data
% I) E" J- | p. G z& D5 hHuman-machine interaction and visual data mining
! u0 j" @) s+ j, y& D" _Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
b6 S4 M; ]( f6 o7 E: P0 fKnowledge Acquisition & Management
0 o$ d3 [3 ?1 z# h# C, C$ XKnowledge Modeling+ N5 r! j7 G. L8 K1 F0 ]1 h
Knowledge Processing% D: a& T. a W# w7 [" ~# Y
Integrated KDD applications and systems
+ u. i( j# ?! w7 aBusiness Process Intelligence' g7 i5 W6 _* f
Cluster Analysis and Knowledge Base system
+ y; B/ Z3 O3 f4 J, S' pInformation systems technology
: O3 P9 y8 K/ BOther related technology about data mining. Y6 k: b/ Z' I& E+ b1 h) N9 F
* l3 T' }/ y$ f- s& o; U* u3. Computer Science and Related Technology * Q- _0 {" i; R2 H
Image and signal processing ( S+ ]# {0 ^* `- c. ^
Artificial Intelligence ( d3 ?. p+ H; `. b9 e0 i- \# ]
Software engineering
0 [* d7 R1 H) d/ p3 e9 j8 jSystems Engineering
/ F$ @& n2 z- t# ~Computer Graphics . T9 B& c7 n) e8 _$ e; I# `: g- i! f
Computer Application
! @* F) q: l1 KControl Technology
6 W: V p4 a) j8 {; aNetwork Technology ' Q9 t4 A3 Q2 \( f+ [- |
Network security + g* [5 H* u Y" c
Numerical and symbolic computation( e3 u- U2 B6 q8 S
Computer Modeling and Simulation6 F: \6 ~) z' u. r l- U
Communication Technology ( f, i! l' K% i, I0 d: ^
Algorithms and data structures
8 s$ U( }% y% f! W g, E0 qComputer Education
; \ w1 _ F: Y( |Other Advanced Technology- M1 S% X; m& X2 [; E
8 M% A K1 H( E/ Z# y, Z
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% W: X& [- |$ lDBTA2010会议联系秘书处
. y2 G: @# D: H7 E4 s, ]2 b7 s( S- e* R. Q. r. o( }
邮件: dbta2010@vip.sina.com, info@icdbta.org
9 p9 K w8 Z% d5 w, w: b电话: +86-15102769170- l0 a* e; E- M
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