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The 2nd International Workshop on Database Technology and Applications (DBTA2010)
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/ M$ G6 j4 S: q) E F v- V/ c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)$ k M1 O" Y* P$ H3 F/ x4 U, L$ e
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11月27-28，2010，武汉，中国
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, z# y r) a8 `3 L& v( o- ahttp://www.icdbta.org/
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, ]) R$ \. S1 x: M O# K论文提交日期: 2010年8月18日
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论文录用通知日期: 2010年9月 16 日
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论文修订版本提交日期: 2010年9月22日1 {$ R9 o% R a/ z Z
6 @: p% D4 A& |论文注册日期: 2010年9月28日
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论文提交系统: http://www.icdbta.org/dbta2010/submission/+ q5 ~% f+ C" L4 h( y/ s. |) l
- r& _. C+ f3 C' V' n' {% _: X" O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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_! c5 Q) A S# jIEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc （录用注册后提交）2 W- r- @ U. m8 H" f1 y
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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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$ O1 W% H+ e! O' L1 Y: t# w0 z0 ^. j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。( O9 Q$ w5 H; b( \, m( |
6 A/ p4 S3 @4 w5 _, TDBTA2010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" [& r6 S7 k: W+ ~! y
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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。/ u+ g* `+ O8 C' S
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6 ~" @9 {9 F* r# A5 W) { x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：3 O3 F! v4 m9 `* H# S' X+ h& u# }
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! k+ U6 Q/ i: g2 P1. Database and Related Issue
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- o1 @* P$ R ?1 o: qTemporal Data
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Scientific Databases9 i* _, }" |; b* H( N
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Computer data processing
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Data processing services 4 P, l5 l1 l# f% x% T3 q
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Data processing supplies ! a" T! X2 c; ^3 y K3 {
! n4 o( G9 [2 v* {7 }. R2 YData processing systems9 x; W/ E" Z4 T0 R# w, t
% {. m# n$ L- f# d6 a) [ RMetadata Management7 C8 K* }4 S' S& P
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Mobile Data and Information* e; [/ x# u; d
7 K" y; {3 m% i5 TMultimedia Databases# q7 | B% J! }; t2 w0 B
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WWW and Databases& J2 k8 Y R9 J9 }2 O' q+ I* E
6 |; P, J- U. B" I* ~5 l0 GWorkflow Management and Databases
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1 b5 h3 B! C$ Z1 n% JXML and Databases
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Multimedia Databases0 L2 y. u6 j* x1 O8 }
% k: K! h4 c) N6 bData modeling and architectures* O; I7 X$ ~% ^$ p9 f v1 B
/ |7 D4 G# ^" g9 z+ iData streaming, data provenance and data quality
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& i! p* J3 k2 Y& GData Security, privacy, and data integrity
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5 B9 t3 \( O3 S: m% d9 FWeb Data and the Internet4 w- g& }/ d4 i" E+ V9 ~
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XML and databases, web services4 m% l5 P1 y$ D, G) Y/ I: T& c) z Q! r: I
, R+ |3 n3 g5 _! W* z9 S# Z/ g9 X9 HSemi-structured data, metadata
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0 G% H6 G8 P% v" {- P! i# L$ je-commence
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2. Data warehouse and Data mining- n; i" S# ?& ? f. k1 t, g
* o- a+ j2 l- |) y$ rGrid/Parallel/distributed data warehousing% n- Y. g' q" Z8 g( f/ l
$ N& G! ]' F0 ^. z- _ |Web/multimedia data warehouses$ } z8 \ c% p6 I7 t8 W
# W! P' Z" Q# I2 zData warehousing and the semantic web/ ]/ H- s* U* K& X$ M
* ?. C0 y: ?: {8 s1 O7 Y7 X* ^Data warehousing with unstructured data) w. T# `: n7 @7 _3 h Y. K
F" X9 |9 J5 D- k3 d" NIntegration of Data Warehousing7 A1 ~2 n( ~, R
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Data and knowledge representation
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$ D4 ]* c! [# f+ V5 X' A' S/ J* S( sLanguages and interfaces for data mining: H9 g! b0 }8 m
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Data integration and interoperability
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8 c7 B; m7 `5 c( @; EData extraction, cleansing, transforming and loading$ M$ p8 S0 ^+ Q; z2 T3 ^: d) u
* w4 N& U! W- @- D. ZData mining and information extraction
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KDD Process and Human Interaction. F/ U: r- E0 Z" R4 v
$ P; N% k9 |/ U" b. `OLAP and Data Mining d5 @- u1 j: J4 j, z9 {! |
3 I z" T4 y7 P9 m* iParallel and Distributed Data Mining
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$ U c+ l% X" C6 TPhysical database design and performance evaluation
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" l- r5 l. L$ |* WQuery processing and optimization% ~1 Q6 ~+ O0 _+ F2 O
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Reliability and Robustness Issues9 V, f% ^) |5 |" k: f% }5 c
+ A4 `: B9 q; ?- M4 s* o) X6 tSemantic web and ontology
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Software Warehouse and Software Mining: F* I5 S9 p! q' ~: v a
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Social and mathematical statistics9 t7 _; n/ Z9 _! x* q
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Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
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1 O0 u; Q' r3 {1 i5 L( G2 LDeveloping a unifying theory of data mining
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2 v6 S# @2 W( A- vMining sequences and sequential data
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4 c @: g% B p, M, y; JData pre-processing, data reduction, feature selection, and feature transformation * ~* N8 j6 D3 r/ h# U
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Quality assessment, interestingness analysis, and post-processing
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Mining unstructured, semi-structured, and structured data
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Mining temporal, spatial, spatio-temporal data
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Mining data streams and sensor data3 `. i4 j5 `" ~) l6 c* |/ g
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Mining multimedia data' l5 y6 O! e$ f. B' H& j: q
: i0 |+ D- y. e% G0 G3 P1 CMining social network data
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! z) d5 e3 B0 F/ g hHuman-machine interaction and visual data mining 1 Q z# g4 M0 i2 T6 G- P
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Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
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Knowledge Acquisition & Management4 n: x2 T1 U! E, d Y' w6 F
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Knowledge Modeling
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6 ]8 E/ ?& c) d0 H6 h# jKnowledge Processing
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* k+ N8 E9 b! P9 R5 J' [& {Integrated KDD applications and systems 9 O" N: P5 ~/ T" h- R5 g
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Business Process Intelligence2 _4 N& g+ O6 |, X
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Cluster Analysis and Knowledge Base system
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& x! ]/ i0 f/ r' ~: @Information systems technology
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Other related technology about data mining
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3. Computer Science and Related Technology 0 U2 i0 H. B$ O: A, N6 l: d5 b
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Image and signal processing : U# L- R3 A# ?5 ] t
. L$ {; C4 O( Q& o6 [7 YArtificial Intelligence 7 x; m V8 P7 S, H5 }. H0 o
$ |0 a+ F& V( c5 m$ K% mSoftware engineering
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Systems Engineering
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* P( C! L' }9 A3 d. D! @" S1 x: {Computer Graphics
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Computer Application # D. f3 n0 e! x
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Control Technology
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1 y5 p/ W5 N e4 q6 D+ ZNetwork Technology
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/ E( d* S4 {- a" V: S$ TNetwork security
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T; b$ [! g0 N% K2 `Numerical and symbolic computation9 ]7 k0 N, @; g$ W3 y4 T2 j2 e
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Computer Modeling and Simulation
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Communication Technology
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- n% C& C' s/ @0 Z |* G# W* GAlgorithms and data structures, V0 E7 V5 o' X
+ f' |& N/ I- B6 gComputer Education# C6 d! D! r; Y8 ^% b+ D
- @# _# s5 C+ g% QOther Advanced Technology' r2 \8 H, u) r% |" z; d4 ^
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DBTA2010会议联系秘书处' A% X: K* M6 j [! i
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邮件: dbta2010@vip.sina.com, info@icdbta.org
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