马上加入，结交更多好友，共享更多资料，让你轻松玩转电力研学社区！
您需要 登录 才可以下载或查看，没有账号？立即加入
×
abbr_319e1d4bad0ac813b4ae9db0f9767e2f.rar
(38.66 KB, 下载次数: 0)
8 z! W2 W. z$ M. D0 `
The 2nd International Workshop on Database Technology and Applications (DBTA2010)
$ w5 u/ n- M# H$ P0 x
9 a! ~% ~- ~% m }" Z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 L4 i7 U9 a' |1 ?
5 e6 T) B/ I* g0 C
11月27-28，2010，武汉，中国
2 T4 H! y2 N& R v; f. J- e, c% v: l, c* C
http://www.icdbta.org/- w8 x: G, N( R, a
9 i" }4 b2 r& Z2 P5 [4 d$ ]
0 X$ E8 P+ m# B7 }6 u5 h5 v- M4 {+ W( h. \4 b8 [3 t! z* E ?8 M
论文提交日期: 2010年8月18日
F: f; Q u' z* @2 \+ x# o" |" g8 u) T* M8 A7 t
论文录用通知日期: 2010年9月 16 日
, w v( I( X# }! I+ y
0 F7 @; o) g: d7 X论文修订版本提交日期: 2010年9月22日! r4 F( ]- }# @
' e D7 p( L- l* z( ], W论文注册日期: 2010年9月28日$ T9 o; B) x/ I+ g# q; t. N% h
$ l# o6 f" I+ S; n/ D3 J论文提交系统: http://www.icdbta.org/dbta2010/submission/, }) P7 {: h: C- a
" [& T0 J7 D+ A6 `( f8 {
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc（只接受英文稿件）8 I3 w6 o- N( Q; p) X2 X
1 y0 Q0 v! ]" d8 oIEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc （录用注册后提交）; V; @+ y6 Y! ]+ p7 a; [; z/ R
4 k6 f" P! R6 A' z% G
4 T7 R$ z/ q: `& {$ U8 a$ X& d9 g* e' l, q7 K: T) p5 B/ q6 L% l
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。
! H% o+ {( t' N7 i/ d0 b3 Q% E- c" D/ ~# ]7 ~( K& L
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。
1 ^7 l3 [/ W L, w/ n& { D
5 p% F& h4 F9 t, d% eDBTA2010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! ~. f- p0 M( C: ]; A, e
' f* s/ k9 u2 X) i" Q! x: A优秀论文将被推荐选入EI或SCI国际期刊专刊发表。8 q/ J, b1 \" V2 `: z
1 r1 L8 s4 k x" }& Q7 \
/ }' N8 t% ^% v( e. F I5 u9 L- ?: U p! W
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：
& b4 B$ ?! A6 x% Z ]- Z
) R% E$ ^/ @$ b7 L' S3 o- N: X5 Y% a6 I, L- h- s
/ B! k+ P! U- K( w8 K7 s! j
1. Database and Related Issue
6 L0 l7 r" G( j/ `! y. G, v1 T5 h
7 c) l% \5 C5 r" V u$ Y2 G4 O$ bTemporal Data1 U+ S, F2 U- p0 e, Q; B0 D- w
9 c2 v) \# h( u: G, qScientific Databases
0 w) @; R' k% Z2 b9 _* \/ W M" m* L+ V
Business database software+ z, B/ @. g, u3 W6 m% e9 }; v# c
7 j6 R# ~7 l- Z( a5 L3 {3 j/ V2 p
Computer data processing 3 G/ {$ W4 N6 ]. a J
) X; M/ E0 x4 F5 kData processing services : d+ l' f. |$ n7 j5 }
* V; x2 S- `0 i z7 |1 i5 b! E: NData processing supplies
; T5 U$ r( ^3 x/ k( l- p( E+ `. A3 y, `) [( w
Data processing systems2 W6 V2 @) ~/ N2 K9 ] V0 W: D: g6 o
1 x6 W$ [5 \6 Y8 G5 F
Metadata Management: t( U9 H# s5 m
. V- |8 d! X- FMobile Data and Information# P: z3 b( t+ C( D c: G
; Q- U U X7 g( XMultimedia Databases6 G* m- S) O1 J0 L
5 k# \3 K& o1 x4 m/ @# QWWW and Databases
( R+ l# d) b8 L4 Y
8 _% U1 \: R9 C& WWorkflow Management and Databases
( @6 m7 I6 L+ l9 f+ f( m0 L* P! s
0 S% i( N; i" nXML and Databases1 ^: w5 e; N; `
. \% L* K1 w" q; h* }Multimedia Databases+ J+ ~0 w" v/ u' ]$ G' M
$ d8 G2 j# m3 z) A J, c# g |
Data modeling and architectures
k6 [( V& [* P- L) x2 D, ^- ?9 k, G# j4 M* R
Data streaming, data provenance and data quality
5 H5 J+ E5 K" H9 f) C. m
2 ~+ d" Z- f' |, c8 M1 EData Security, privacy, and data integrity
9 F. n5 R6 g- ?. @; `" T- ^0 L7 w3 i5 ^4 _; n
Web Data and the Internet9 Z0 I; L2 o# n" O
3 g: E! R8 X3 X" [9 J5 W, S1 H$ qXML and databases, web services
9 `1 r- M5 A. Q" L3 B/ u1 l+ @3 i' I8 m% n. [) E% u b8 C. M
Semi-structured data, metadata
5 X" e, k1 @: T7 p* ]: N P8 w+ [+ v) x- W4 F# w: j* `# B- A! H! K
e-commence
) v! I# p; k2 x& B
# m" v$ g2 L: u9 m( V+ o- n
# H0 V9 R( O, H/ C/ X& M; b x5 s! t5 \) S
2. Data warehouse and Data mining
5 x) m* _! [ c& C+ \+ s
& l: y+ A/ y, x1 r+ p* rGrid/Parallel/distributed data warehousing' s+ Y5 a9 `# O% p6 @
K1 M0 x. z W; C3 f L
Web/multimedia data warehouses
% m6 U6 j: I8 ^
% H. w9 j, l" A* U5 o7 r* O5 eData warehousing and the semantic web
7 m. ^8 U5 Y) @% v+ U7 A
5 K9 q* {5 j2 B* e, e5 LData warehousing with unstructured data6 l; D" P+ `9 u0 p, }! o
# M3 T, U9 U0 Q# vIntegration of Data Warehousing0 U3 E! f0 Z9 }; Z0 Q
# p" D& ], D, h5 |7 `( v8 v* X RData and knowledge representation
2 B" ~/ h+ r! ^7 ~) O) D h
! {' c' z1 J; Q: h- |Languages and interfaces for data mining
5 a1 T; l0 a/ f4 ?; x" \
2 ]8 R, P* t; z, VData integration and interoperability# B& R) Q1 N8 i. {1 m
- ?0 W& Q9 ^4 ]6 y4 jData extraction, cleansing, transforming and loading0 n: d, c7 H% g
. c' W5 Y, X6 W. {8 y
Data mining and information extraction
) @4 h2 E: m+ Y' m' Q6 K+ c" n, N8 z+ n- b2 S% R
KDD Process and Human Interaction3 @' F6 i6 H! o" L) ]' H# q9 f; u
6 I9 K6 h* v( T2 ^OLAP and Data Mining
3 E% n' m/ T) m0 f
0 [, U+ I, S0 k J* dParallel and Distributed Data Mining
/ Y3 n; U" M5 H7 V) x1 o' r/ y) Y& I/ U/ Y# ]
Physical database design and performance evaluation; t/ B S1 h: Q. r! l+ m
& x" w" m% V; V# o4 J2 KQuery processing and optimization
, O* q6 G1 I. `
3 v0 V" M( X. HReliability and Robustness Issues* b9 q7 Y+ [. f
- P+ b) M C- E/ ySemantic web and ontology
. b5 m4 o7 @ {. u9 q+ J3 p' }0 H. w( ~! ]: ?4 y
Software Warehouse and Software Mining% k' L' r: r0 X- X# n* g
4 V7 b+ c8 N0 z# S1 s9 D! _Social and mathematical statistics) a% H. g" t* Q9 z
0 b" n% N. N2 U5 M0 P9 }1 h, {Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) * `0 \" }9 f6 ~" L/ r
! [+ [6 z' K* [$ v
Developing a unifying theory of data mining
7 k# T% T- N, {. e# ^: Y- n1 Z! O) N: b# O
Mining sequences and sequential data
; `7 z$ h' r9 m% B+ q* u% l% |
! n, Y) ^! g3 w( i: c$ l6 p" GData pre-processing, data reduction, feature selection, and feature transformation
( P0 U! W. a( @* _" j3 p7 D2 S% A# g! c0 A$ T# I. B
Quality assessment, interestingness analysis, and post-processing
+ F% b8 `% L" C+ V/ U8 t" K7 S$ \: a6 a) ^7 k; t& @' a& W4 R
Mining unstructured, semi-structured, and structured data
5 Z% k8 ?' |4 W2 `- d' s& @1 H( l9 o0 C6 U- R
Mining temporal, spatial, spatio-temporal data) U# [" X* f6 U, \% j# t3 s
; B. U9 p C- A& o( y
Mining data streams and sensor data8 b/ g; ~# Y: C+ X" t6 G
) V0 ~+ ]* T5 G# s
Mining multimedia data
4 I5 F# [ O0 A, _4 d( t j4 @! f& y
Mining social network data$ S' E& Y& p0 X: P9 q8 K" v
5 Q- b% e! M9 V: D9 v# i% X( @Human-machine interaction and visual data mining
" E. c9 `. Q6 ]- d" F' A9 d3 R. H. }' l0 _* Q
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)% ]# C( ]1 E8 o! \% z& h0 Y
/ j5 e% k* o% B1 U1 l. A
Knowledge Acquisition & Management
3 b1 v2 k# z5 H: G( \% b' Y7 `: B6 @0 L* n; S. G# [8 f) H! U
Knowledge Modeling1 H3 \6 A- z& D, L: q8 A
1 w1 g9 S3 z. x) K! D6 `3 b" t
Knowledge Processing: M: U$ f1 g+ [* |, ~
, T) L2 \. o& k4 y
Integrated KDD applications and systems 5 Z2 [& C8 |+ F2 s1 }
1 c- _8 E/ r+ u2 d1 Y! I3 U- wBusiness Process Intelligence3 Z1 L! c2 S* w6 t' x
2 i9 a& w( e7 l5 n6 M$ oCluster Analysis and Knowledge Base system
5 R6 l' c$ O/ K9 I
3 ~2 S% T7 Z# d" P# ]Information systems technology
) | B7 G0 t9 l& J2 x2 H$ W9 R$ E! Q/ S9 Q9 Z7 ~
Other related technology about data mining0 i: I% Y* e; _3 p) H' m& e
4 I5 b B6 Y2 y N
" |, T. R- | H7 F
9 v. W) e+ \0 p; M" [3. Computer Science and Related Technology ( @0 V1 n/ ~8 H( q: f
: u3 w+ f, L x- e$ K5 U; v% n; G6 pImage and signal processing 9 T5 |9 j5 Y1 p d1 K
- Q L8 Y( n6 b. h1 n4 H
Artificial Intelligence
1 E6 q& }$ m* @& k+ N) ]8 [% c# o' f
Software engineering 5 S' d, ?2 ?# U' \- X6 ?3 B
/ n- u1 I2 q: A* z5 b6 w5 x/ uSystems Engineering
6 M' v! T9 L/ y, X% b& Z. ?# R2 z% c/ t
Computer Graphics
8 ^8 n2 j1 ]9 Q: W5 E$ R; Y
! ] C# O2 j/ H& ~# J/ @Computer Application
3 s0 y& L! O' X" r4 J/ u
, P6 _- y" }: P7 _- c# JControl Technology
; _9 D! O. Y3 T/ |. {. N5 q0 ]9 V1 v
$ Y, H' N# l$ }Network Technology : g+ m0 N* g. E2 K6 E& ~1 I
) v& E: B( c; ]3 L& U/ I3 VNetwork security & {9 Y/ V7 Z& Z' P) O* R8 D
' W# d# E* ?' z0 M2 l
Numerical and symbolic computation: G$ [2 m2 k$ @
9 L7 Y( ^8 s ` u* }! |
Computer Modeling and Simulation i" _& M* J6 i2 }( L6 y
5 ]! k0 o+ H0 ? P* J/ G
Communication Technology L8 r4 A9 @0 G
6 q+ k( ^4 V* I
Algorithms and data structures
. `! d" ]6 ~; L: o% m
5 ?4 ]0 Y i; }. B$ JComputer Education
( ^; x+ j) {2 R1 d1 \
( q( W V7 Z8 O3 {Other Advanced Technology% o2 Y7 ]5 o; g2 ^6 A0 a# R
8 q/ V5 y( E5 b
8 }/ B( p& Y- W, e
/ Z2 R) B% s: M9 c' M
======================================
& p# m# J* y4 a1 J! N' E
* `0 B. z* A. EDBTA2010会议联系秘书处
, S) M0 ?/ W1 r( D' i# F
$ H4 X5 i; k1 Y1 v: C+ [3 K/ K% Q9 X& Q
% c. \$ G% r6 T: H6 X! { N邮件: dbta2010@vip.sina.com, info@icdbta.org! p+ y+ G6 A3 ~* ~2 _
+ U4 }- K& T+ s
电话: +86-15102769170 |
赣公网安备36040302000210号 )|网站地图
狗仔卡
发表于 2010-5-4 22:25:42
提升卡
置顶卡
沉默卡
喧嚣卡
变色卡
显身卡