The 2nd International Workshop on Database Technology and Applications (DBTA2010)6 ]3 h/ @8 u3 Z2 z/ j5 m9 |
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) W& s; t2 N6 Y6 U" L8 X6 k' U' L11月27-28，2010，武汉，中国 0 G! w( X8 d& F6 N6 n! uhttp://www.icdbta.org/ K0 k# T+ W \, t ; T" f7 b, p1 f, h- s8 X' R论文提交日期: 2010年8月18日 7 @ e+ S: r+ [2 ~9 P1 u论文录用通知日期: 2010年9月 16 日 + c$ [: o$ G" c3 W. i论文修订版本提交日期: 2010年9月22日 ) F8 K x9 I) u# a( p+ L3 N# d# Q论文注册日期: 2010年9月28日7 r: H/ G4 n. c
论文提交系统: http://www.icdbta.org/dbta2010/submission/1 [! Z$ S2 u9 B6 W
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc（只接受英文稿件） + R% A9 o8 n; z( Q9 e1 A. K1 zIEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc （录用注册后提交）* E( L1 }( v5 W; m
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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。4 l+ B% B0 U# Z2 a$ h
# V4 `4 E- R# A" R7 J# }/ }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： 0 S* G h; A n9 j7 I" S: A# D& } 7 N& j s1 J1 F1. Database and Related Issue # G% f* f0 a# J# v- R% t) }
Temporal Data , |! M- A7 [+ A, UScientific Databases $ L& q5 T/ x9 c4 PBusiness database software$ v) S) r8 f; X$ { V8 L- i
Computer data processing 5 l. E5 H! e9 i2 b/ e
Data processing services % e1 S' o! N) }( q' a/ AData processing supplies 7 c w9 _# {) F6 |" B+ y- C+ vData processing systems & e6 E/ R e, |" B2 X* S2 @Metadata Management5 W( h2 A0 E, r
Mobile Data and Information ! K5 C1 p( i3 ~ ?" c; L U/ i** Databases: J* j$ X9 d6 h n8 u* C
WWW and Databases1 n6 n) E& X" l( ~- r- r
Workflow Management and Databases4 S! ^0 x! }& n. D. g4 V0 D E5 a- p
XML and Databases# c$ [1 @; @" |- Q( I; E
** Databases2 m# V/ R9 N) s2 \7 L; Z+ s6 ?1 N5 r; U
Data modeling and architectures ) r( n+ r h; Z% @8 ?; |7 W8 ~Data streaming, data provenance and data quality: s; Y; i, c& n: @! W
Data Security, privacy, and data integrity ) y5 ~5 Y7 A! c1 @+ H. jWeb Data and the Internet+ ?8 O; [1 E/ E' E$ x8 V) |2 ?+ j
XML and databases, web services . T" b8 R9 O% U4 @3 C% f. XSemi-structured data, metadata5 ^6 u) Z. u+ m5 @/ P
e-commence0 d* S" G; l3 K! O4 C7 ^+ h. }
$ P( {5 J4 t2 R9 ~/ _2. Data warehouse and Data mining& p8 z( c& {4 M+ {" G8 D
Grid/Parallel/distributed data warehousing # ~( U3 ]8 X2 E0 _2 m, z1 A% Z* ~4 FWeb/** data warehouses) T5 K) [4 }/ t: E6 q
Data warehousing and the semantic web# R( q" z5 S' q+ {) U3 o. d
Data warehousing with unstructured data; O" u# s7 C) E. ]9 G8 y
Integration of Data Warehousing 8 @# [1 o7 v0 p$ V) U; IData and knowledge representation / S9 T* I) s# DLanguages and inte**ces for data mining ; P7 c2 x3 D1 Y( W) q7 y& P- uData integration and interoperability ; M$ Q: z0 v+ C) C* oData extraction, cleansing, transforming and loading( @1 n" [. e1 h8 h; q9 Q* k9 g
Data mining and information extraction9 f" l/ u+ w. ~4 \. F; w
KDD Process and Human Interaction( W: r/ x; v4 H7 s- I- y
OLAP and Data Mining 2 b. A( z. g7 H+ ^+ t( e, R% b: ~Parallel and Distributed Data Mining ' Q% T) ] e, Y NPhysical database design and performance evaluation * i+ r9 K/ Q E" U U1 BQuery processing and optimization * S5 R+ ?$ f2 RReliability and Robustness Issues , p/ J' [: v1 E+ VSemantic web and ontology % ^* W" E) B" z' D9 `; B& [+ i+ ySoftware Warehouse and Software Mining ! x1 R3 ?$ A' e: m6 f7 @Social and mathematical statistics& P$ H! [- P# w" `5 l0 \
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) ; l1 T! v* R% @Developing a unifying theory of data mining # z, L/ z. T0 w7 f( H( y
Mining sequences and sequential data . r7 w0 P, X* p0 }8 HData pre-processing, data reduction, feature selection, and feature transformation 9 m5 T) `0 J# h+ x* V0 q1 X
Quality assessment, interestingness analysis, and post-processing ' f, ~& ]' F6 e1 B6 a# ~
Mining unstructured, semi-structured, and structured data9 y4 x, b6 J; p4 |( z
Mining temporal, spatial, spatio-temporal data $ W, G- K0 t {7 y" yMining data streams and sensor data ; L- q- X* L- V' LMining ** data6 @7 w' B# o; a+ ?& I
Mining social network data ' c* \% p+ ?8 z8 L0 eHuman-machine interaction and visual data mining $ i7 O8 h0 u2 }. v% w; g1 @+ pData mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)3 S4 u7 ^ ]8 L/ j
Knowledge Acquisition & Management. G1 C( ^+ t$ K1 i: @ D) q) W
Knowledge Modeling0 C* a! H+ z5 Q5 I b
Knowledge Processing ' v# p- f5 h! F) RIntegrated KDD applications and systems 8 P5 X' C* Y" x$ T" ~0 nBusiness Process Intelligence 2 W s0 U: E; w6 ~ ECluster Analysis and Knowledge Base system6 }5 X( @1 K1 P }& _ ?) A
Information systems technology , D+ R8 U* P- d8 dOther related technology about data mining6 i7 O" x! X) m# R1 `' i$ f
+ \$ z8 q3 X- O8 ~& W* ?' l3 U5 f: I- w3. Computer Science and Related Technology % ~- `" G2 w1 ?Image and signal processing 2 ?! K' `$ T# @0 `3 i6 bArtificial Intelligence # E* x" a1 \9 x+ t3 z
Software engineering ! R( S- {2 v8 s2 I, N! d: c7 i! |8 S; hSystems Engineering ; ^6 S; f) ?5 |. {5 G$ RComputer Graphics . u* g+ M3 n; `1 U: O. aComputer Application 8 { f. e$ |# Y0 ^/ m6 c- `& y
Control Technology # t; ]. k O: m# g/ e7 O
Network Technology & \/ {& j: _6 r* T4 {- M4 |5 t8 ]Network security % ?. A% l2 D) O) XNumerical and symbolic computation " F7 T$ A2 G3 V( `2 B' B2 VComputer Modeling and Simulation6 J3 }1 K/ @# U/ r1 g
Communication Technology ! P2 t) \# d/ b; _; ]; ~- K0 t
Algorithms and data structures 0 f+ k- a( L0 Z. D( v9 O+ uComputer Education! M6 A5 `9 E: k, q
Other Advanced Technology, F/ m5 l+ A( e; W+ ]# X8 \- ?
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DBTA2010会议联系秘书处& e4 S# f n0 n I9 d
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邮件: dbta2010@vip.sina.com, info@icdbta.org3 ?! S/ \: k$ e7 I+ n
电话: +86-15102769170 $ V2 w, u* g9 ?( b; K======================================
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发表于 2010-5-4 16:05
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发表于 2010-5-9 13:35
