The 2nd International Workshop on Database Technology and Applications (DBTA2010)/ r$ v8 r8 m; _2 w1 i9 A7 y
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)2 z; ^' D# D6 P
11月27-28，2010，武汉，中国 1 p' O( j+ q- G" r" T4 z7 Nhttp://www.icdbta.org/ ( Y% S0 j: N2 G; F/ ]+ q* C2 M2 D' `: z; _0 g3 t% o- J
论文提交日期: 2010年8月18日 5 e% L) T& \, G" y q5 \论文录用通知日期: 2010年9月 16 日 0 s; t8 L% Z' B6 L( k论文修订版本提交日期: 2010年9月22日* f; V" B' k. a* b1 h& a4 Y; j
论文注册日期: 2010年9月28日- E' R- r. L5 L9 b: G/ R
论文提交系统: http://www.icdbta.org/dbta2010/submission/ % A0 s$ B8 \$ o会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc（只接受英文稿件）) o4 U$ r& u2 O6 A3 T
IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc （录用注册后提交） + {7 m9 O; t" [& G9 A4 {- ~- C/ b2 b+ o B( {
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。' U" z3 V4 r6 J. r
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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： 7 ^0 Z# Q* Z( V+ D- d& s& t' Z$ \- u & Z( M0 l9 W& l+ {1 g1. Database and Related Issue # O( T/ ]- A. ]) k$ I- U9 f& dTemporal Data4 S& \7 a3 T5 z6 c' a+ \
Scientific Databases3 q( M( S, S: P6 U6 s
Business database software 8 o9 a4 \. d n6 t6 y1 g- oComputer data processing $ H& [: l4 Z4 r) I: G* G$ [8 F
Data processing services # n; P) M! q# F3 K0 z
Data processing supplies # W" J) f8 T9 c* @
Data processing systems& o/ t0 F1 ?& w9 @2 V& h
Metadata Management 1 I) g: q1 V0 ]Mobile Data and Information* v* p& X7 } S+ o6 v4 J7 t
** Databases2 Z' T G5 s& I. n- H& H w. w0 ?7 A
WWW and Databases u( } L$ W k2 r' mWorkflow Management and Databases1 n7 H' b# e, R) }; X
XML and Databases 0 L l% p7 h _7 G$ p: L' t8 x X1 g** Databases & f4 e: {6 L) C8 h0 S3 xData modeling and architectures * q8 h# w7 a" M9 ~8 BData streaming, data provenance and data quality / c8 M7 ]0 G' x6 G2 GData Security, privacy, and data integrity + h0 ?8 v w/ ~2 Z& _, b( zWeb Data and the Internet. z% E+ @- @1 b" N3 t8 F
XML and databases, web services: J4 t& J0 ~8 M8 X2 B/ ]+ d
Semi-structured data, metadata( c3 W3 L' t" Z) @. u2 W
e-commence' H: q o8 i) n, |
5 \' w, }: t" r1 c, F O2. Data warehouse and Data mining 7 C( R. W# z7 v6 _2 C0 V; _% ~; dGrid/Parallel/distributed data warehousing5 U. b5 f; H/ \( t/ B
Web/** data warehouses - E! Y5 e; G" c. h9 WData warehousing and the semantic web 3 O+ f; D+ I# H# w4 o0 ^1 S mData warehousing with unstructured data ! ?3 y7 B1 K; B: ?" Y4 n* [Integration of Data Warehousing" g; i9 ?/ I. N
Data and knowledge representation ( T9 p3 V2 W' s' {9 _4 FLanguages and inte**ces for data mining ; ^, E; ]. Y: B$ o5 hData integration and interoperability( j# h3 H. |2 \9 i- \/ c' }% M
Data extraction, cleansing, transforming and loading & K7 F4 c$ T% w! t# E/ [; p# TData mining and information extraction7 k* _! x2 I- Z% w
KDD Process and Human Interaction 9 m* q; x, b$ E. ~1 e6 {% a/ X) H" V' oOLAP and Data Mining & x# | Z$ S8 v" f1 PParallel and Distributed Data Mining ! t2 E# I* n% y e2 ]# _Physical database design and performance evaluation; b6 q) {) f6 A6 f: U; D
Query processing and optimization" _8 O% D0 i1 D% g: w% m' d
Reliability and Robustness Issues & ^: E$ Z3 R d2 i/ k O( GSemantic web and ontology' L. Y7 t: v9 c& A; \
Software Warehouse and Software Mining3 N7 I3 M% D" i* o" h' U
Social and mathematical statistics) C/ a4 X- `' [# L7 h5 ]
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) " i& q+ I- R/ a( C0 L- _ h s6 ?1 D- ZDeveloping a unifying theory of data mining 6 m: J, p. f! U" H3 m3 @
Mining sequences and sequential data: A6 [# x& a5 |: Z
Data pre-processing, data reduction, feature selection, and feature transformation 2 c' Y% B# w5 a, G. M) G( [Quality assessment, interestingness analysis, and post-processing + h! S* F1 q5 b/ O$ W
Mining unstructured, semi-structured, and structured data , B) s4 ] h0 nMining temporal, spatial, spatio-temporal data 2 A7 W2 T; j/ N) o" j% qMining data streams and sensor data. E6 S% l, D2 c; X4 G: K& P' J" z
Mining ** data/ J, u6 j! F: `: e+ I/ Z2 t) j
Mining social network data & B& X; ?" X$ l3 k( d1 u: j1 H. _Human-machine interaction and visual data mining 2 \) {6 n b$ v5 W* s' y" w
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)* f o. {1 e( B+ K/ U+ ~
Knowledge Acquisition & Management- `! ^7 g- C* a
Knowledge Modeling! G+ Z. q. s$ J! }, C2 V- t
Knowledge Processing1 [& t7 x" i4 z1 R
Integrated KDD applications and systems - Y5 V; p4 G' b# OBusiness Process Intelligence' i; I2 }1 \; x2 X, i
Cluster Analysis and Knowledge Base system 8 l* P6 {6 H) E1 n( AInformation systems technology% E2 u" d+ p, }
Other related technology about data mining 5 P* n# Q4 b g, ~1 W' |5 O8 H3 `. g6 N& ?! G* c% K* a
3. Computer Science and Related Technology ; O4 i# @) B* `" \
Image and signal processing * b) D$ P8 u* }0 [2 S: h+ ^0 S
Artificial Intelligence 4 A9 K P0 V/ {: qSoftware engineering $ e& i7 k3 E, Y' t7 l9 ^/ uSystems Engineering & G! R5 l# f9 ?: G& Y2 K' M' b8 t) rComputer Graphics : ^8 A! {( I `# u6 XComputer Application }" d8 g6 `0 {* ?
Control Technology 7 ~% r: R* u3 p
Network Technology # Q5 R B% n# C0 a' [1 v+ W aNetwork security 4 n' U8 U5 Y$ kNumerical and symbolic computation( z5 p. e9 D: b5 x
Computer Modeling and Simulation : u% v. H w" R# \1 TCommunication Technology - O0 J5 a# ?7 u; d9 lAlgorithms and data structures ( x' L1 S1 C: i' J% \Computer Education & I1 `+ C% B1 i Y) I2 @6 ^Other Advanced Technology# T6 p/ g8 Y3 E5 g* M( I% A
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DBTA2010会议联系秘书处1 V4 b' ~9 D( @
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邮件: dbta2010@vip.sina.com, info@icdbta.org 1 X; T C! z5 w, m, q7 j- ]7 E电话: +86-151027691705 m, k2 B5 H5 l7 e
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发表于 2010-5-4 16:05
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发表于 2010-5-9 13:35
