The 2nd International Workshop on Database Technology and Applications (DBTA2010) ' O8 I3 s6 n* B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 @- C! J/ C3 ~2 k @11月27-28，2010，武汉，中国 - U* ^6 p/ [0 Z- _2 J M* h; E0 O" F http://www.icdbta.org/+ i" X3 B+ E2 T; {7 {" X
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论文提交日期: 2010年8月18日 * u q1 b# L$ h论文录用通知日期: 2010年9月 16 日 ! j3 U0 s# d9 Y( g+ M" A论文修订版本提交日期: 2010年9月22日 ) L( M! b( D) D5 u) ]. X论文注册日期: 2010年9月28日( Z/ I' W# u( D9 w. Y; ?& r8 x- Z! W
论文提交系统: http://www.icdbta.org/dbta2010/submission/. v9 X! z& o6 V
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc（只接受英文稿件）" ?; q8 ^- C/ L6 L! e P
IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc （录用注册后提交） 2 A; t7 k5 g+ A) j' ]# w2 c' q, v- I6 @' h8 u9 W( O; K4 D0 f
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。 1 |: u- I/ V2 T! \5 m! e8 I6 N. Y9 O- H* ]4 V+ _6 A# Z6 @
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 f/ x s0 }7 y* `& W. o
; w2 t5 b! `! l5 ~# D( c) {8 }1. Database and Related Issue $ ` P. Z% l R1 j& [9 g$ d" @
Temporal Data* U5 T0 x. x7 K. ^6 i( F
Scientific Databases # ^( Z6 X1 p4 B0 ^Business database software8 f7 |' `3 w: c. L- ^0 e
Computer data processing 4 p$ m; W" `$ M. K& M" cData processing services * F) t! |( z3 H/ R
Data processing supplies }8 ~, i; y" J# b4 h3 yData processing systems " v' m9 E5 d6 g" @5 l" Y' VMetadata Management/ S3 R+ t$ N, d6 S: F$ b
Mobile Data and Information 9 O1 G$ w+ M% ?7 g** Databases; }% c5 x0 v6 l$ ?" f
WWW and Databases . d W0 V, Q- Z* T, r. \Workflow Management and Databases. O7 T1 L/ N8 A8 }
XML and Databases G, A, _8 s! n _7 ?# ^
** Databases " O" g9 C9 C7 b, f- j C5 FData modeling and architectures 3 D/ m5 I$ A1 GData streaming, data provenance and data quality; V! t( e5 C9 X/ \8 j/ T# _7 L( u: N
Data Security, privacy, and data integrity 4 L" ~ s/ F1 I1 G# k8 l( ?' I
Web Data and the Internet/ f( L- b& Y% g- f
XML and databases, web services' ^# b* v! b3 K! w* @
Semi-structured data, metadata6 u, p, Y' T2 t0 j
e-commence; k& Q% ~+ G$ J. S! T& g; V
3 o7 ]; t, `! M( s- f2. Data warehouse and Data mining 1 d0 l X2 i5 O- fGrid/Parallel/distributed data warehousing1 i s. M: G# [0 a& d) z
Web/** data warehouses ( C c( z- _" Q" a8 b# kData warehousing and the semantic web& T$ D3 D7 D4 |: k( n/ Q! F& O5 S
Data warehousing with unstructured data # O8 D& [( X, N: g7 SIntegration of Data Warehousing3 f" X+ o/ Z( [ p z( ]
Data and knowledge representation . Y( j, S5 _5 T9 n4 ^# QLanguages and inte**ces for data mining 2 Z0 e; D- s; R8 \) V$ v7 C; |0 vData integration and interoperability # ], b* ^! I6 cData extraction, cleansing, transforming and loading) m! A+ f% U+ w H4 |6 s8 F
Data mining and information extraction4 K; c6 Y U1 N) \3 b
KDD Process and Human Interaction " G0 y0 H! g( N- u6 M0 AOLAP and Data Mining9 ^; l+ X5 Y+ u9 ]! _: B
Parallel and Distributed Data Mining9 I3 L/ A- H, }6 b4 U! D4 w$ b
Physical database design and performance evaluation, W7 ]; x, T. r1 l
Query processing and optimization4 I' x( e$ g6 |& ]4 T0 i
Reliability and Robustness Issues 2 R% G7 Y7 r% H u6 x& b/ b9 V. v5 CSemantic web and ontology1 |' D0 z7 E7 m0 V
Software Warehouse and Software Mining; {5 s& }! Y: n( h& V; M) v K
Social and mathematical statistics3 X2 b8 @4 ^0 b) }2 D* K
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) 6 Y8 K, O8 P; [' {- D. F$ CDeveloping a unifying theory of data mining " F* L0 f! k; N: v/ T4 S
Mining sequences and sequential data! ]% V, R! R! p/ m
Data pre-processing, data reduction, feature selection, and feature transformation $ n$ D' Z0 d7 t2 e, `( [Quality assessment, interestingness analysis, and post-processing & q( U- _) x: h' C7 P3 SMining unstructured, semi-structured, and structured data + G$ J D+ x3 c* S$ mMining temporal, spatial, spatio-temporal data 4 B, n9 f/ ~: F* kMining data streams and sensor data2 k$ s+ u* ]+ } E5 U+ a
Mining ** data + U6 v+ f o5 B: y* }. uMining social network data & o. X. X6 ^3 g% u6 WHuman-machine interaction and visual data mining - S! p; ^" k( B3 i. s: c5 ?8 @: G
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)& c7 v- W/ j5 \5 [# U) ?9 ?
Knowledge Acquisition & Management0 y6 v2 Y: T% _/ K7 B- \
Knowledge Modeling j" x$ J5 c; s) z2 C
Knowledge Processing 8 x$ `# u7 C, u& u9 rIntegrated KDD applications and systems * X4 [7 J/ L! ], P: I" C- [) C
Business Process Intelligence5 c: z* x6 g |1 n& Z4 O
Cluster Analysis and Knowledge Base system 6 k* Q. T9 ]9 I8 TInformation systems technology 6 I! F5 l) Z2 h, v0 gOther related technology about data mining- \, ^& |6 n4 M& y
9 X) F" g" R( x6 N, o3. Computer Science and Related Technology 8 X' k- _5 Q3 U$ G2 @& D/ gImage and signal processing ! \$ Y: ]7 A W% y* v7 }: J0 b. TArtificial Intelligence 1 v A: D% p+ y3 B: iSoftware engineering - A5 f; @' K7 P1 R4 o DSystems Engineering 1 [% {( ~9 z0 v. v, nComputer Graphics 0 U- e4 g7 _; ^/ k* jComputer Application 1 v Z9 E. ^1 e% N% E
Control Technology 8 ~+ _0 `; n& c# m: M
Network Technology ' t/ `! V# p! fNetwork security ; d1 a4 H9 a# o$ k( n
Numerical and symbolic computation$ U4 [/ l7 i$ @- E" i
Computer Modeling and Simulation 1 d% E/ @' F5 t( ^. _Communication Technology ! H/ T7 v% w& y" z/ W, _8 ]
Algorithms and data structures# Z7 \- z0 w( D) c3 N6 q8 Q' I1 u: i* l6 }! S
Computer Education 1 m6 B/ F3 I. Z7 b4 K5 }Other Advanced Technology 8 l' S: G9 N1 @: V1 o8 {, j. [) u" K; l4 w% z
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DBTA2010会议联系秘书处 : z2 i0 x( J+ ?5 Y0 j4 B( [ " z' h/ G9 w9 f邮件: dbta2010@vip.sina.com, info@icdbta.org 5 ^) [4 N& K2 N4 X电话: +86-15102769170* [ ?$ D) |" I C4 s* O
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发表于 2010-5-9 13:35
