The 2nd International Workshop on Database Technology and Applications (DBTA2010) 8 d; l1 p; d5 M" A. I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)+ A7 I4 X1 ~8 N
11月27-28,2010,武汉,中国 $ e/ _- g9 R5 s0 _: ~. z http://www.icdbta.org/. f8 Z2 p) R7 M
* |/ Y5 M8 P6 v& Z& _, B论文提交日期: 2010年8月18日* p, @8 M2 l& l" ?- t5 d# t: P$ Z
论文录用通知日期: 2010年9月 16 日 8 B; c* {+ D$ |' `& [) o# V9 K3 l论文修订版本提交日期: 2010年9月22日3 ?' K: ^. w: V9 r& P' }, r/ C
论文注册日期: 2010年9月28日* J8 `/ v( c9 [* G" p5 W' C }+ s
论文提交系统: http://www.icdbta.org/dbta2010/submission/ . R/ V" X0 S! }8 _3 y4 w. S+ n会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件) ' P t4 R1 T3 W- i% \- K. oIEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交) " _3 D0 W! c8 e* t7 D5 e: R2 a$ B$ @2 @
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。 . |/ X/ n: r6 @ m" c- m7 B* j / F& x" A. A4 u; T7 b2 P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: 8 V' }- ]% ^3 {. K3 x/ z- h% F+ a8 }" n0 l6 |5 G/ b& t- A% d% ]
1. Database and Related Issue 0 o/ T7 U* O. ITemporal Data7 q" W4 N5 B: E9 N# p3 p) k: J8 A
Scientific Databases, H& r: y# m4 \4 I8 R' l0 X
Business database software 4 p% p9 B, [3 P S. H2 A3 C/ h$ ~5 B5 Z' YComputer data processing # D, ?/ C4 |" E: E7 M+ kData processing services 5 Q) D" T. E6 C7 @) j: f9 ]/ dData processing supplies 6 {3 S; R% Y( k! l. J, Y0 s, u# i8 h( Z6 i
Data processing systems; }( A) h3 e' o) v
Metadata Management . _: R- ^5 x- y# W% bMobile Data and Information5 h( n" R4 j& p7 T9 _5 d4 Z
** Databases # c, L+ K) b' @6 }4 n# dWWW and Databases 2 Q9 i. o1 Z$ f4 _7 y5 o/ C* OWorkflow Management and Databases " g( E. ]* f( z' U7 G8 FXML and Databases . w* m; K3 u% H** Databases / W5 X3 F% `9 IData modeling and architectures # `$ ~" X2 Q: c, W5 aData streaming, data provenance and data quality6 d) b, H- s ]6 i
Data Security, privacy, and data integrity ( x# m# \3 L2 @- I3 w- ?7 P9 cWeb Data and the Internet2 K6 s+ N7 J0 M2 \
XML and databases, web services) k% S2 q2 f- ~3 o! y' B
Semi-structured data, metadata A7 A; X, [6 c/ Oe-commence K! a) u( R; q7 f2 N2 D# s
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2. Data warehouse and Data mining, L8 F# F5 q5 d' y
Grid/Parallel/distributed data warehousing9 u0 x5 _) t3 @' J) [! X0 `5 h0 E+ e% T
Web/** data warehouses * h5 j8 `; ]' N6 PData warehousing and the semantic web% U k4 G! X' |) L) O' B$ D
Data warehousing with unstructured data- d+ X% P5 `) s9 m; R, f
Integration of Data Warehousing , v" E: t; c/ rData and knowledge representation 9 v. R" s" T% z# ]. Y$ _* h% ILanguages and inte**ces for data mining/ ~) Y( k& h3 d9 `& v8 U7 y2 O3 n
Data integration and interoperability - R$ n2 a4 A' y4 ~2 o) {0 BData extraction, cleansing, transforming and loading 3 L8 t% y' C* m5 ^& v/ ?/ M6 GData mining and information extraction. @0 Y! j9 U6 R9 n
KDD Process and Human Interaction+ @+ {; A) W8 j q5 L- M5 a
OLAP and Data Mining 0 R- q( N1 B6 S' k" BParallel and Distributed Data Mining! F+ {3 b9 K! Z8 N- [) T
Physical database design and performance evaluation ! Y/ H. Q& S! D, S j! ~1 T( x5 yQuery processing and optimization . s1 E5 y" s: \2 c4 g4 Q. e" O& o1 RReliability and Robustness Issues , K0 s+ b6 m: vSemantic web and ontology 9 Z, i0 _! s# j! E% z4 P! pSoftware Warehouse and Software Mining) m1 Q$ X, G2 A0 N
Social and mathematical statistics 2 m1 @9 \, ]- ~4 U5 i( H) ENovel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) , K* E# U( f5 g' XDeveloping a unifying theory of data mining W& ?" `# E3 ]: m6 q% b+ r; v
Mining sequences and sequential data ! ~7 X8 X" I$ O4 r+ n* @2 ZData pre-processing, data reduction, feature selection, and feature transformation 2 h7 M4 C) X* z c- _) ?4 lQuality assessment, interestingness analysis, and post-processing + g3 N. f9 C. Y5 Z. ]7 W8 C8 T4 lMining unstructured, semi-structured, and structured data * h* n# k; K0 F7 D$ C' ~, \Mining temporal, spatial, spatio-temporal data " d( K2 f/ F$ u' v+ g P* y$ mMining data streams and sensor data 7 B3 P6 ` e% k1 b1 A: @% {+ h4 T0 BMining ** data @$ z1 i8 A& _5 w6 {Mining social network data- Q" z6 W9 a' i( M Z- b
Human-machine interaction and visual data mining # W F" n, Q7 m, D* J/ g2 i) W _
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc) $ I0 [% t ]4 d3 k0 i1 R, |! H7 u* EKnowledge Acquisition & Management ' t$ j p9 _9 b# SKnowledge Modeling& `* o, @ i! J3 [0 D p0 Z
Knowledge Processing6 L* \+ c* C) l/ g/ O; p0 y
Integrated KDD applications and systems 0 K- P* A7 u- H* N6 q8 i
Business Process Intelligence ! h% @" ]2 {' L( cCluster Analysis and Knowledge Base system$ \: ^/ i8 c3 R8 e* N) ~% I6 p
Information systems technology" P" T/ x) p5 E! y0 g8 }: O: L# e
Other related technology about data mining - ]$ [0 {7 y( m0 i* ~- X5 E8 c' H" b3 r! V T- A% a
3. Computer Science and Related Technology 6 b: |# Y* n* I' R5 T/ JImage and signal processing 5 j6 C1 C# c8 r; c
Artificial Intelligence / \. j* ?, ~$ q! C: d6 VSoftware engineering 9 \+ m" {; _' R1 [" z) Q d: GSystems Engineering 2 s% d) A Z& c8 e2 b( G! t; \Computer Graphics . i6 Q# A$ G5 y% ~: PComputer Application $ \' O1 I6 p: w$ q
Control Technology $ Y' x: d4 s) L6 z" T, ?+ z- VNetwork Technology # K" s& i$ G+ D+ ?3 V' g- HNetwork security . E/ F1 K% c& F) `0 d+ `. K
Numerical and symbolic computation & Q, u9 [& \) T4 f+ |Computer Modeling and Simulation8 @, a8 j2 I$ G- }5 l3 t2 q3 D8 d0 a6 l
Communication Technology ) K. g1 l7 e+ p; p6 G sAlgorithms and data structures % _6 O# u% ^; mComputer Education * S+ C* Y( e C& sOther Advanced Technology$ U+ f( I2 ?7 [4 B% o, d4 S0 H0 x
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DBTA2010会议联系秘书处! k* [5 m8 W3 O