The 2nd International Workshop on Database Technology and Applications (DBTA2010); g. v0 b- e! f( a9 o
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)4 ]8 [% m4 f' Z
11月27-28，2010，武汉，中国 1 Y% w# B; I k% p http://www.icdbta.org/6 j' S# n- I* }* q
, t" [9 ?* Q7 W- G* l! h7 V论文提交日期: 2010年8月18日! N, l: g2 g0 `/ O/ G
论文录用通知日期: 2010年9月 16 日3 S. a# B% N0 p/ ]9 |) U h
论文修订版本提交日期: 2010年9月22日$ y5 c7 g' d3 c# Y; T
论文注册日期: 2010年9月28日 4 y& i4 W( k" J, t2 s% V2 | ^+ W论文提交系统: http://www.icdbta.org/dbta2010/submission/% D9 B; A! u* M. u
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc（只接受英文稿件）. k( f6 d6 f1 J
IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc （录用注册后提交）' a; u& z6 B8 Z, M, v9 K3 f, w! @- C$ F
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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。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。( R5 f0 N% z. k" W* A6 F+ p
- I( t+ M% @, P" h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： & P1 y, s2 Q+ e# C: y! D " A# d8 D/ z) w! m* p8 _5 ]1. Database and Related Issue * }. f9 L( t3 j& V
Temporal Data 3 Y! P6 H; y: x+ PScientific Databases : s/ f4 `! [0 W9 i, ABusiness database software ' a% q5 F' I+ v; A, t5 M/ rComputer data processing ! O9 Q" f! S4 GData processing services 1 c, s6 t P: {6 E- f+ W, g" n
Data processing supplies ; u) `7 Z6 t+ P# a
Data processing systems 7 f, ?4 S/ s3 ?! F! m8 QMetadata Management8 i+ G" |& `# [- |2 u) k6 c/ U
Mobile Data and Information ) x# e/ b0 t) v8 d6 Z7 ~ Q! T** Databases , l* {+ b1 |+ m# O1 k9 }5 c2 L3 fWWW and Databases# A' V2 }' P7 Q* h
Workflow Management and Databases5 q) ]* l. q4 P+ {$ q
XML and Databases0 i) J6 i5 H& m4 ?/ Z
** Databases" S# L4 p2 h4 e2 S7 a# W$ S* p8 R
Data modeling and architectures' }* r3 a; q. O3 V# k+ p
Data streaming, data provenance and data quality % }+ |! |9 z- J& l( HData Security, privacy, and data integrity ( z, T# Q1 [* D* DWeb Data and the Internet6 {- m) C5 v7 ^" i
XML and databases, web services . y9 o+ Z5 C5 @ D3 A7 c8 aSemi-structured data, metadata 4 \- e, h H" B/ } q/ N+ Re-commence; o" N7 |/ U; q1 z! ~9 ]- Y3 x
5 d& @: o: n, z9 @" s5 _/ W( h2. Data warehouse and Data mining U! p: @6 X' |( L" j
Grid/Parallel/distributed data warehousing- e$ }, j: l Q2 G
Web/** data warehouses ! c7 Q3 t8 N! T! Z. |# uData warehousing and the semantic web ; W2 q# |2 m2 }, {2 HData warehousing with unstructured data , c' @+ m R5 X) E8 o1 ]( ~, NIntegration of Data Warehousing3 s2 f q" |: e9 z
Data and knowledge representation6 D: t2 D( T5 k
Languages and inte**ces for data mining ' `, P$ r; V3 R1 z# X: P& P" HData integration and interoperability ) P8 g) l" `+ r* Z+ D7 pData extraction, cleansing, transforming and loading + t h" \: W- C" O9 P; @" ZData mining and information extraction * i* i* @) m! `; OKDD Process and Human Interaction* W" }# d3 M7 l* C5 C3 j0 s
OLAP and Data Mining / c* O" E/ \1 n- K1 r6 J7 cParallel and Distributed Data Mining& b- b9 b" [5 Y5 M' T- n; J5 b
Physical database design and performance evaluation 6 b6 \/ H: I( T( m8 a+ ?Query processing and optimization * N, A1 D' y( r- aReliability and Robustness Issues+ u5 u! r/ C3 T
Semantic web and ontology& @5 B, f9 q5 ~) C" L/ ]
Software Warehouse and Software Mining2 g. H( J! P& i0 n4 b5 X
Social and mathematical statistics ; `/ n8 I7 r' F: U) \Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) ( Q* `2 {9 J- }* w1 x; v5 UDeveloping a unifying theory of data mining 6 {* Q; G! Y6 z7 ^4 T
Mining sequences and sequential data $ J( w* Z) k) v8 `" Y( V4 iData pre-processing, data reduction, feature selection, and feature transformation # L* o# p4 Q" |+ \Quality assessment, interestingness analysis, and post-processing t/ e( Z$ H$ L+ T2 w; w( h1 \Mining unstructured, semi-structured, and structured data2 Z9 w2 p; E7 f4 b7 v- E0 m, H9 F
Mining temporal, spatial, spatio-temporal data# D5 @. N3 ] N: ?& r6 {
Mining data streams and sensor data I/ S* w! B' s, ]2 q; Y: Z! JMining ** data' L, g4 f) J- i/ g/ ~7 o7 O
Mining social network data 4 ~$ l! \+ a' |) T$ [Human-machine interaction and visual data mining 1 F1 R3 x( X: a3 ^: w
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc) 0 L& J: V) J( e( VKnowledge Acquisition & Management, U E1 t4 v; w
Knowledge Modeling* F/ M# T- g% m1 A8 t: G( m7 t, s: |
Knowledge Processing4 f8 [ Y6 W0 S( o
Integrated KDD applications and systems 9 q+ L, O9 v) O( j; iBusiness Process Intelligence 8 f" j! q2 T, ~Cluster Analysis and Knowledge Base system4 T; C7 ^3 Y4 y' L( B6 X
Information systems technology0 f. ~$ f' r+ _
Other related technology about data mining, |: V" U' c, v j, {+ v- Z
@7 V& h' r% [" g4 C4 E/ Q3. Computer Science and Related Technology * J' b! H- f! | E9 TImage and signal processing # A. H5 i/ V) H. U3 D! d0 UArtificial Intelligence . }8 ?: D' p* l# P/ l& f$ ~
Software engineering ! P! r0 a z, _* j) I9 F
Systems Engineering : |4 X6 g* J# v X1 y: ^Computer Graphics ; g3 W! o# u$ S ~+ w' x
Computer Application j/ A8 r3 }+ E* T$ [
Control Technology + Q$ S0 f4 K }9 x; }$ f& v8 A
Network Technology / T% o# a9 [% x! c0 }* y: `( Z
Network security 5 Y- ^, \2 ]( E2 A7 ^& KNumerical and symbolic computation) @: ^6 A% m) m
Computer Modeling and Simulation! @, U. |- q. z O
Communication Technology ' d+ w6 [7 ^+ z7 n8 A+ [
Algorithms and data structures) }& N, D9 K" f6 R
Computer Education& X. f7 b6 h8 |% B
Other Advanced Technology * k6 Y- [( D5 L" U; D" N " {3 n' y" O" t% M& a====================================== ( k8 {2 a1 @) i$ d& @, Y- yDBTA2010会议联系秘书处2 Q2 E. ~( L1 b& ^ n( K3 M/ V
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邮件: dbta2010@vip.sina.com, info@icdbta.org! o( n- a' `6 U. r' ~1 A7 [) ?% \
电话: +86-151027691704 V# w4 H8 C2 w4 H, r/ ~
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