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3 a6 L% s# v* k# P9 Z+ o; m: y0 tThe 2nd International Workshop on Database Technology and Applications (DBTA2010)
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+ P8 N$ I7 M, z' c# 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)
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11月27-28，2010，武汉，中国 - H& G1 C! w3 ^
F5 X, _" F2 U5 w% yhttp://www.icdbta.org/$ D# P: N. L8 T9 q( }
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论文提交日期: 2010年8月18日9 G3 \0 Q: n8 @* d3 m3 ^+ T9 U5 g
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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" U" Z L, A0 P, U5 o
; O- D1 ]* a" x" x论文注册日期: 2010年9月28日
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. y( z# j+ u/ \. Y b论文提交系统: http://www.icdbta.org/dbta2010/submission/
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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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IEEE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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) \: a$ v! W0 M0 @; Z8 ?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。7 U9 t- g5 [* a6 H
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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。. p5 i3 b7 L1 S5 K: ?, u/ { ?* @
7 R. V+ H$ F& H. hDBTA2010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5 m, d' x9 s/ ]: @6 b3 i- L
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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。5 t, ?% x8 w- ]7 }! p* ^7 H* i3 e8 ]
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% M K- \2 N; i+ i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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1. Database and Related Issue 5 |: d4 h3 T. v8 O
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Temporal Data) @+ F1 |/ {3 O; J0 ?
! F9 p3 ?* B4 _/ N) U% S* E8 YScientific Databases
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Business database software
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Computer data processing 1 q6 x8 Z5 @- J7 K4 I
, N6 e# e# v' g5 d8 R8 o9 kData processing services p2 O$ U' w/ O5 N4 W
f# e8 K% k1 c' C; L+ J- BData processing supplies * H, ?3 v& V" z
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Data processing systems! d+ r# o6 S6 _$ p: B- e% Q3 ?( p+ f, Q
# X% I1 D+ t0 r& p3 B3 u' f7 yMetadata Management
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$ O/ w) b& b" V9 k! j( z/ GMobile Data and Information
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Multimedia Databases
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* F0 N2 Q" s) L- ^% D- HWWW and Databases* Y$ @- Y( y5 u' F# [0 p
. C7 @5 r" i+ Q( y3 a4 ]$ oWorkflow Management and Databases7 ^9 [! ?3 G D& p! I
: V2 _5 f# T% B$ Z) HXML and Databases
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Multimedia Databases
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! Q, Z; |, p" x3 z+ _Data modeling and architectures R+ u1 n' T& i
/ r( ^9 V3 x A G. A- X0 t9 E9 `/ FData streaming, data provenance and data quality
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2 g( s \% f" A) E% _7 B' IData Security, privacy, and data integrity
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! u& c# K. O: y. Y! WWeb Data and the Internet
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XML and databases, web services( g; @7 H, N: C$ Z
3 H5 R# k& ~( v" O; f7 M& BSemi-structured data, metadata
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e-commence
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8 D7 s( f( a4 R/ S2. Data warehouse and Data mining
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Grid/Parallel/distributed data warehousing3 j) w: K' ]0 c8 X$ l. F. F
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Web/multimedia data warehouses7 ]9 Y- p# b; `! }
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Data warehousing and the semantic web
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- j1 d) n% O8 E4 qData warehousing with unstructured data/ S( A, c1 Y+ Z3 [3 |" M
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Integration of Data Warehousing
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k1 w9 q2 F1 H' C1 sData and knowledge representation
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8 L$ E1 p/ x% x# `5 ?+ P" }$ SLanguages and interfaces for data mining
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0 n* x, d- W+ C/ {% D- G- nData integration and interoperability" u1 c. x) w4 J& i A) N6 ^
7 m* m3 i; |) h2 F4 X- qData extraction, cleansing, transforming and loading
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: ?! `% f. w* W1 e+ W8 Q1 d$ t+ J3 UData mining and information extraction3 |4 N3 T- A0 m* S4 v3 i
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KDD Process and Human Interaction" M1 z9 C. L% u$ T. u1 L2 {
# l3 P* g4 u' G) B$ A* EOLAP and Data Mining
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2 C; K- m3 b2 u$ T! g3 o0 K& Q0 \( LParallel and Distributed Data Mining+ u5 w z; a9 X& T* u3 W8 r
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Physical database design and performance evaluation
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3 ?( z- h( k5 H$ D3 S8 |+ TQuery processing and optimization5 I& N h' U* h
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Reliability and Robustness Issues7 ~ i' I# J+ } M) a) B
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Semantic web and ontology
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Software Warehouse and Software Mining; `; i' N6 g4 G
- p7 e3 `8 j" Q8 z3 cSocial and mathematical statistics
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Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) 8 Z% \. h; p8 z c. {( a
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Developing a unifying theory of data mining
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Mining sequences and sequential data
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/ v% M; h4 V) y: D/ E- p2 s6 x6 KData pre-processing, data reduction, feature selection, and feature transformation
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Quality assessment, interestingness analysis, and post-processing
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6 Q- M+ t3 m% o5 |5 {) e9 _% @# r; kMining unstructured, semi-structured, and structured data1 r3 ` m, O6 a4 k/ d/ M
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Mining temporal, spatial, spatio-temporal data1 e4 s; _3 ?+ n0 S7 n
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Mining data streams and sensor data
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6 T* m# j) y1 H; R3 N0 kMining multimedia data/ \+ f& c6 x, ^$ n
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Mining social network data; ^ G) [# P5 g* S! i; E
+ l- E" p1 Q0 z9 k9 QHuman-machine interaction and visual data mining ( e, T) G6 |- K% B2 r
* m. `+ T; k0 ?2 {Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
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+ q" a" N; @ qKnowledge Acquisition & Management* E. k* |" K( c }
$ r4 ?8 q0 J* t1 _1 ]1 ?Knowledge Modeling
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Knowledge Processing
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Integrated KDD applications and systems ) e4 ~7 z- r9 l+ k
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Business Process Intelligence+ K8 w \5 |, K& |. x
3 z, P7 S: e! h# ~/ @$ xCluster Analysis and Knowledge Base system# i/ f: V) I1 V: \% Z x- @; S
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Information systems technology
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% q* |1 P0 {' W j- m) P3 qOther related technology about data mining7 E A) ^& y8 O! O* s3 e5 n
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3. Computer Science and Related Technology - P: y- X4 n, k. |, D% c
1 {+ v4 }6 D) J6 _' v; gImage and signal processing ( @+ j+ | W S5 }
* [2 V4 I2 N5 S4 i" [- qArtificial Intelligence
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Software engineering
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, G1 C% a- z. e3 I) B, O- zSystems Engineering
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Computer Graphics ; ^* n) O& ?3 W" N8 E* M& x! O A$ ]
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Computer Application ; R$ C- X% D# l/ H, D
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Control Technology " M2 n2 X# C1 k4 R- S) l8 q
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Network Technology + M% M7 ]! f" B) H" c* M% `
, ~- {6 ]/ p; U4 @' C3 z* }Network security 4 l$ q" Q1 F I; B
! {( Y+ H5 ~9 k# t( n- B! ONumerical and symbolic computation
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( L a. N3 X, a9 _8 H; y. [+ }5 \$ x% sComputer Modeling and Simulation
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B0 S, u i( zCommunication Technology
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5 M6 r) o7 R, N6 r2 y9 w" k! jAlgorithms and data structures8 ^' |2 }3 _. `+ ]# N7 b& u$ @8 M, {4 [
) L3 V1 N% B( {+ E7 ~4 OComputer Education
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Other Advanced Technology8 ~1 M" x/ x$ T& z5 s+ m% ~2 D
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3 i$ C6 ]% b- f& VDBTA2010会议联系秘书处
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邮件: dbta2010@vip.sina.com, info@icdbta.org3 p+ s3 C, x' ~$ n
8 @( U. ]0 S) V" x电话: +86-15102769170 |
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