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The 2nd International Workshop on Database Technology and Applications (DBTA2010)
7 R& g0 `5 }" m1 `$ @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)/ `% f) C `0 d1 D/ k
11月27-28,2010,武汉,中国
" m' O T( }3 u% `. l `) R2 \ Vhttp://www.icdbta.org/
1 L, ` P" B4 s- ?- @ j$ _
6 b+ f& J: J4 w0 ?) e论文提交日期: 2010年8月18日
& F" I2 ]" Z% t5 n) R论文录用通知日期: 2010年9月 16 日
& ], }- y1 U" y论文修订版本提交日期: 2010年9月22日" j- M* y8 M8 D: J# {- M
论文注册日期: 2010年9月28日5 b! } j& R* C3 ^3 [% T
论文提交系统: http://www.icdbta.org/dbta2010/submission/
9 V8 ^0 J: U) r3 k/ a会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)
5 C7 u- C1 v2 b4 I2 }( x5 rIEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)
$ K) F% Z: t5 t# p- O3 W G C2 i* z5 E) {
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。
( k, i& R& d; `
1 d6 f$ ?! t* k) a) m* T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:6 [, j! g) a5 r+ {
) l% x! {( O' ~9 ]
1. Database and Related Issue
$ r. s; m- _/ z2 B' j$ `Temporal Data+ `& E1 ?; o# @! v( L, a
Scientific Databases2 ~; y( C" f1 }" q0 V
Business database software" ^; L2 X4 v& J! y
Computer data processing
5 b3 Q$ A: g8 w9 g8 {3 {Data processing services
& l! u' E5 B" ]" { g2 WData processing supplies
Z: p! m" W! lData processing systems
T4 \# u; F* dMetadata Management
1 U# T- Y% x& D4 b+ D- `+ @Mobile Data and Information
2 }5 Q5 E: \- e4 R: B, R. N# M** Databases
1 v& ^9 z+ L" C8 V+ P9 FWWW and Databases9 ^2 v2 b2 x. b
Workflow Management and Databases9 i N, u$ g {& }& i4 o) {$ y- }1 }% B
XML and Databases" v; c; v$ G* [2 s2 j: i4 l
** Databases
$ ]* L M: o9 F3 T# cData modeling and architectures! b$ i/ J# m0 T4 u6 ^6 ]- X
Data streaming, data provenance and data quality9 N' R1 u& N1 ~. Z4 P
Data Security, privacy, and data integrity
M; h; G$ M/ U) BWeb Data and the Internet6 d6 T5 B3 h, G; h$ Z2 w; k) V
XML and databases, web services
0 K/ o. L6 { @. _$ j5 L# z4 v# x9 {Semi-structured data, metadata& t3 S; }& K/ j' C' j" c
e-commence5 U& x( g' E: v7 ~ v
7 n ]5 ]' d% @9 d" u( n( t
2. Data warehouse and Data mining. d5 B- G- ^. {7 |! h
Grid/Parallel/distributed data warehousing
( H) K4 {, z) lWeb/** data warehouses- }/ C3 N/ y6 A5 M3 X
Data warehousing and the semantic web
/ U6 y8 k8 w# Z. J! E9 `Data warehousing with unstructured data! _1 k, |0 c {* o1 Q0 W9 W$ F
Integration of Data Warehousing
9 y6 K5 P% Q5 W* U+ c" f8 sData and knowledge representation
6 N1 }; Z7 z- @. v. ~' qLanguages and inte**ces for data mining2 _4 `8 ^+ p& ]8 J. C! v
Data integration and interoperability5 F0 L6 j& Y( y1 | [" u
Data extraction, cleansing, transforming and loading/ f2 ]) b" D- B
Data mining and information extraction Q8 V. ~/ H: U" S7 b
KDD Process and Human Interaction7 Y1 w! g! S6 y b' y
OLAP and Data Mining2 \$ i& G# }. R+ J5 @+ x$ ], u. B
Parallel and Distributed Data Mining p' v N2 l- V4 n9 G5 w) L- {
Physical database design and performance evaluation: V9 f) O6 x2 B; g7 J y3 G/ o
Query processing and optimization
% j) P" t! c5 ]. p! F0 gReliability and Robustness Issues3 C& Z+ H; b0 x7 l4 M7 n
Semantic web and ontology& ?4 Q" h7 w4 p( S) h6 P1 K/ T
Software Warehouse and Software Mining( t) J: }$ M! C) B Y( V% P1 {* `
Social and mathematical statistics
/ a, S3 t" f" h7 e, g" Z, t9 _Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) ) T% b2 s$ ]4 n6 C
Developing a unifying theory of data mining 3 }/ y! m8 B# I0 [0 J5 Z G
Mining sequences and sequential data( h1 @; f9 W. I2 J+ H/ Y n
Data pre-processing, data reduction, feature selection, and feature transformation
8 F# p4 j) a+ ~/ ?& }2 vQuality assessment, interestingness analysis, and post-processing ' G( \) Q5 R. |; }/ X
Mining unstructured, semi-structured, and structured data
* v0 O% R. A" _, `) T- r7 [9 `Mining temporal, spatial, spatio-temporal data7 H! |! `7 z& M0 [
Mining data streams and sensor data3 v, I* {; P& O/ G, E
Mining ** data
/ A4 V- t4 n. W" e7 wMining social network data
( A/ f* N9 r' M: }, E/ V4 iHuman-machine interaction and visual data mining
7 ?, @8 T! P4 h0 y6 X% y/ v/ r2 J( MData mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc); s" R q1 q- O
Knowledge Acquisition & Management( E+ F- W( z- y- @- e$ ~
Knowledge Modeling- q) t* K( d5 y1 y* I+ _( o
Knowledge Processing- Q1 b8 A' _- Z. w6 u! U# P5 L! ^* e
Integrated KDD applications and systems
3 S1 x3 @4 K6 v$ b0 }% y- qBusiness Process Intelligence
$ p% b! V+ I% P7 dCluster Analysis and Knowledge Base system: |5 x. Y& Z% e
Information systems technology
- `+ Q: A& [, F& ?+ m `' B- eOther related technology about data mining
+ }. ]* M9 d3 H( k, X5 A, Y$ v- h2 H* l. G: Z) e @6 C7 @" n- |
3. Computer Science and Related Technology . {3 `# B7 o4 m6 a
Image and signal processing
0 p2 O% h( P0 k8 o0 _0 g( C) ~Artificial Intelligence
8 [* f* E) }/ c& y9 mSoftware engineering
- A/ a; c+ C) U* ~9 [# @! c OSystems Engineering 4 a: l Y7 O0 F6 g8 p: \6 s
Computer Graphics 4 w/ ]- \5 a* N& H5 J
Computer Application 6 G$ r' M$ M7 k" y
Control Technology
; u8 J* Q- G( p+ eNetwork Technology 4 o% N4 Z2 |/ D! {! v" q2 j! p
Network security
( R: ~ L' {% v, l) }0 f5 [' FNumerical and symbolic computation
* \/ x }% c {1 v" B3 K9 BComputer Modeling and Simulation6 j( y1 }1 T: [) z
Communication Technology 7 i$ l' ]* p) q
Algorithms and data structures
. @$ i3 o. D& D/ WComputer Education0 S" m7 P# x6 G7 \
Other Advanced Technology
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DBTA2010会议联系秘书处9 p7 m, A/ i4 K2 J
+ [ t% b, b- L! m) G, h邮件: dbta2010@vip.sina.com, info@icdbta.org
Q* B- a, l5 U0 H) b/ {电话: +86-15102769170$ y: x% F" } c* j# C7 V5 {+ y
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