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)

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2 |& X) i# {& I5 F3 J* I# ^% t1 }The 2nd International Workshop on Database Technology and Applications (DBTA2010)

& V7 E7 z; z5 o, z$ @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)
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11月27-28，2010，武汉，中国
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+ ]$ `6 G! ~# z# e7 E3 Ihttp://www.icdbta.org/



论文提交日期: 2010年8月18日
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& C) m9 s+ y. G) v$ E( v: `. f5 Y论文录用通知日期: 2010年9月 16 日

, V3 S( y  q+ A. u3 e+ m+ v  `6 x# c论文修订版本提交日期: 2010年9月22日

3 V% B( B  f2 f3 L3 N0 v论文注册日期: 2010年9月28日
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4 t$ e5 J  ?$ F4 ?+ p$ T5 g论文提交系统: http://www.icdbta.org/dbta2010/submission/

. f$ y: f5 E6 V会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc（只接受英文稿件）
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$ _7 ^$ h, G! f3 k( q; K1 eIEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc （录用注册后提交）

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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。
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% b4 t  T6 R' U3 g  d0 K. D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。

8 R0 y0 x! Y9 ODBTA2010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
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优秀论文将被推荐选入EI或SCI国际期刊专刊发表。


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9 n, S" l7 G# B/ M" m' y/ {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：


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$ H& l& h" n0 f- Y& E! \$ v1. Database and Related Issue

Temporal Data
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4 V4 a# T. @+ I4 H$ m4 q, l8 XScientific Databases

Business database software

Computer data processing
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9 L' T3 R4 n' u0 u0 h4 ^: F! h6 M( qData processing services
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) P5 @. x7 ~  `7 s9 AData processing supplies

5 e7 W9 g7 m6 X+ IData processing systems
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Metadata Management

/ v) ?# J  A7 a. W% T: bMobile Data and Information
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Multimedia Databases
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WWW and Databases

( a3 A/ V8 M+ b! @4 g% eWorkflow Management and Databases
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% `0 i2 ]9 T. l2 |, ^1 [XML and Databases

: x8 c, O0 I1 C( `Multimedia Databases
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* Y3 k& ]  l, Y9 EData modeling and architectures

  f& N: D, ^  X9 v% pData streaming, data provenance and data quality

Data Security, privacy, and data integrity
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Web Data and the Internet
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XML and databases, web services

% m, j( ^* p; u, f/ }- I+ f- bSemi-structured data, metadata
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e-commence

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2. Data warehouse and Data mining

Grid/Parallel/distributed data warehousing
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Web/multimedia data warehouses

Data warehousing and the semantic web

2 _: ?5 t' s. ~: w/ _, \) K/ Z  xData warehousing with unstructured data
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Integration of Data Warehousing

Data and knowledge representation

8 a! J5 A2 h$ g* VLanguages and interfaces for data mining

Data integration and interoperability

Data extraction, cleansing, transforming and loading
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& a7 d7 T, }9 U7 G. h6 I6 t8 GData mining and information extraction

KDD Process and Human Interaction

! `3 Q. N' c" j& N7 A; jOLAP and Data Mining
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Parallel and Distributed Data Mining

( X; r& S1 ^  _. o' @6 h; W/ MPhysical database design and performance evaluation

Query processing and optimization

# J6 D4 D: j) r) L1 X- e1 TReliability and Robustness Issues

. I: I7 C$ r7 k0 g# m0 Z& ]Semantic web and ontology

$ @  I1 ~* O2 Y5 W" M5 o0 x* dSoftware Warehouse and Software Mining

( z" c" H$ k9 d5 `( ?7 V) r- q# cSocial and mathematical statistics

Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)

Developing a unifying theory of data mining
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) F% p! h+ H1 r  eMining sequences and sequential data

& X# J# C7 ^( ]; ~( i, ^& CData pre-processing, data reduction, feature selection, and feature transformation
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Quality assessment, interestingness analysis, and post-processing
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7 ?' c: C" l# gMining unstructured, semi-structured, and structured data

Mining temporal, spatial, spatio-temporal data

5 m8 m* f8 v0 tMining data streams and sensor data

Mining multimedia data
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9 I9 f, C: P. g/ dMining social network data

2 P2 h. f+ f1 F, gHuman-machine interaction and visual data mining

+ D6 C* Y" k, }2 }5 v9 c" _8 VData mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)

Knowledge Acquisition & Management

Knowledge Modeling
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  f' L) T" ], {; @0 g& rKnowledge Processing
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2 G7 h* {& h8 A8 o% {( ~Integrated KDD applications and systems

7 l1 A6 F/ \: E3 \4 N" j; t1 G9 y2 JBusiness Process Intelligence

Cluster Analysis and Knowledge Base system

Information systems technology

. z; u9 H$ j' Q+ \Other related technology about data mining
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* @+ M2 M/ b' `% C. x3. Computer Science and Related Technology

Image and signal processing

* D. p4 J, l( p/ OArtificial Intelligence

- b3 V/ j4 ]+ N$ M: O9 VSoftware engineering

Systems Engineering

Computer Graphics
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Computer Application
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Control Technology

Network Technology

% T) {9 C8 O4 V) Y- P1 J8 T: Z1 F( DNetwork security
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* S9 Q$ v6 e( ~4 x( ?Numerical and symbolic computation

Computer Modeling and Simulation

3 D2 I9 p* F% x6 qCommunication Technology
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Algorithms and data structures
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+ Z; ~! v; Z/ H5 a" G! Y9 L' @Computer Education

7 {% h- C- `- {5 `$ I: U& h; cOther Advanced Technology
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DBTA2010会议联系秘书处
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2 ~* m+ \" e3 G; u5 r邮件: dbta2010@vip.sina.com, info@icdbta.org

0 ~4 o8 t( a3 `/ h5 L7 F/ g$ C电话: +86-15102769170