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[英文期刊] 第二届IEEE数据库技术与应用国际会议-DBTA2010

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发表于 2010-5-12 16:42 |只看该作者 |倒序浏览
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The 2nd International Workshop on Database Technology and Applications (DBTA2010)/ M. j" t: ]' |" \! r- g
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)
0 Z. q- w( t% k$ g% t9 ^' M$ t11月27-28,2010,武汉,中国 ' |+ [. k/ i0 |9 C# j4 q$ N
http://www.icdbta.org/
& `7 F' ?  |! L( w
/ L2 @% a' Z0 O; P: A4 o" ~论文提交日期: 2010年8月18日5 H/ t, H* @' `/ D
论文录用通知日期: 2010年9月 16 日
4 R# f1 F4 A8 @( G) |论文修订版本提交日期: 2010年9月22日
3 t" w0 c4 o+ A" S4 y论文注册日期: 2010年9月28日
7 D" {0 I. S0 X5 X3 a/ d论文提交系统: http://www.icdbta.org/dbta2010/submission/
$ ^; f# Z; A- C" M& |会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件), f5 W; |7 k6 P! T  G# I: U
IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)0 \' H3 @( k  J# y, E
: @8 M& ~+ Z8 ^7 f: \7 e' I! @: q' }
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。0 b/ A, Z  K2 v# O) i6 o
# k  t  h" \" R- x+ d) b
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:+ p! \6 j$ G& @! n
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1. Database and Related Issue ' C! R; a3 c1 L# Z9 v
Temporal Data
3 d( x% ~9 q. g2 s& P) LScientific Databases( G. W2 i4 B; z7 U$ s
Business database software# z& [' e2 l5 T/ x. K
Computer data processing
' r6 q3 m! B# D% uData processing services - w9 _/ x& u1 g$ B
Data processing supplies
$ X4 g$ w# ?8 x$ i3 f' e5 UData processing systems
! P  j9 ^" Z# NMetadata Management
# B! |4 u$ M. v3 G4 F: bMobile Data and Information" ~" g8 W, n6 \
** Databases2 N9 Z6 x+ \/ W+ m" x& S2 L
WWW and Databases- K, t% N  Q4 R' J* B5 p
Workflow Management and Databases
( k$ s5 j1 ?- R5 K* BXML and Databases
* ?$ u$ B4 t4 h** Databases
+ G& `$ Q1 H5 Y9 H+ dData modeling and architectures
) a$ ]1 R3 c4 c# yData streaming, data provenance and data quality
) k. |, m6 S8 h' V- l, @. }$ \Data Security, privacy, and data integrity & J& o  J0 T' v4 x; S
Web Data and the Internet) f. ]& ]3 ~' z
XML and databases, web services% h6 b% n9 U4 D/ [. p& |. N: q
Semi-structured data, metadata
" p9 g5 `  |5 s/ Y) g" ^e-commence
, ^2 \/ ^. m% i0 p% y$ C* ~" C3 _+ d/ x$ w5 Q& J
2. Data warehouse and Data mining( F# m8 @9 J# X+ y; i" \3 o0 k6 H# f
Grid/Parallel/distributed data warehousing' a0 i% c: H& \, l9 J. h/ k
Web/** data warehouses/ V4 o* _# b, w
Data warehousing and the semantic web& m: r  x: R" b5 }, Q) J; }
Data warehousing with unstructured data
' i4 F. p- `( J0 t# kIntegration of Data Warehousing
0 `, S3 I& S  K  m# {! h: vData and knowledge representation
0 ]0 V7 r- }* t* {Languages and inte**ces for data mining
: r- D1 d% w  q4 B7 [9 ZData integration and interoperability4 H( l  N2 l" U! Z" M
Data extraction, cleansing, transforming and loading
  _8 t, n5 ~8 N0 I0 |Data mining and information extraction$ E2 z* a+ `( N. ?! ~1 U
KDD Process and Human Interaction" u+ e, s* O! z
OLAP and Data Mining, b! E' w; t$ R! h' l
Parallel and Distributed Data Mining/ g: ?3 v$ y" i
Physical database design and performance evaluation# I2 r9 n+ }. o( b/ Y6 u7 e# ~
Query processing and optimization
  O! a, [: }$ A- A, K3 [- cReliability and Robustness Issues
7 W7 u: ?& M: g1 E0 t" JSemantic web and ontology
+ ^3 w6 [) x" D  b& D1 gSoftware Warehouse and Software Mining- }3 E9 P- p$ `, x
Social and mathematical statistics
& h. K  L4 B( BNovel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
; j) o4 b; g) L9 ^$ |: i2 EDeveloping a unifying theory of data mining
3 D  [+ A( u+ u# ~2 Z' H; MMining sequences and sequential data/ {6 z+ A2 Z0 R# ]# e: y$ H7 h
Data pre-processing, data reduction, feature selection, and feature transformation
# W, v8 `* _" `/ X- A6 |Quality assessment, interestingness analysis, and post-processing - ?* X& C! L" z
Mining unstructured, semi-structured, and structured data
3 R  _3 W2 V7 e! SMining temporal, spatial, spatio-temporal data
. M, Q, X: K7 ^  ^+ ~: x- ^Mining data streams and sensor data- t5 V7 J! ^: G/ w9 L
Mining ** data" F* b% [+ P3 m3 ~- q* ~9 `
Mining social network data8 M6 |% c6 J: O8 J& _- r
Human-machine interaction and visual data mining 5 A7 D/ P& G! u
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
4 o4 ]2 b- K" EKnowledge Acquisition & Management, G3 o. ^5 g+ E: O* X
Knowledge Modeling
/ A7 y3 _3 I: Q' D& P6 XKnowledge Processing3 y! c+ z& ^( F: S
Integrated KDD applications and systems ; r! \5 @# ]% `$ {
Business Process Intelligence/ J$ [  N1 ]2 ?7 O. X" W2 L9 M8 r
Cluster Analysis and Knowledge Base system
$ I( C* B& ^: l' A% U5 L9 |  \Information systems technology
4 q; E, M6 N3 M/ ^& E! P: ?1 nOther related technology about data mining
4 _0 T  O! g2 T5 g1 n) J4 J4 t/ N4 R+ T2 o0 Q
3. Computer Science and Related Technology
9 m8 K# h. a( D3 ]3 h* TImage and signal processing ' S: @% z/ S8 d  N. E
Artificial Intelligence
/ z& F, l* n% y/ _; XSoftware engineering 8 K, Q+ B2 Z1 F
Systems Engineering : I( \; V+ k" E0 X5 r$ \# S
Computer Graphics
( L! a( {6 d& Y2 D1 n( [* S+ sComputer Application
8 P2 f' A) n/ b7 ^7 k9 ~: m/ V: I; uControl Technology
, Q" X" z9 }* e3 K& b' I$ {7 oNetwork Technology
& z5 v! E+ I  ]( E& HNetwork security
) b  [- h/ @; s8 p. p: uNumerical and symbolic computation6 B! \( L, E6 h) c; M
Computer Modeling and Simulation9 e. z2 P$ q9 ?$ j0 N+ J" p: p# v
Communication Technology
/ D3 ^0 R% w3 W2 K* BAlgorithms and data structures
1 U  h+ Z  B2 _7 i* @. @Computer Education
2 L" u) Y' a9 k" Y! p* m% @3 k2 XOther Advanced Technology4 J1 C- S& f) b* a' G
) {/ m$ G4 M) T" m0 A
======================================) d# v+ \0 y+ Z8 Y
DBTA2010会议联系秘书处
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邮件: dbta2010@vip.sina.com, info@icdbta.org
3 x& k" h- k* W5 I2 O# S' F) ?电话: +86-15102769170( i* v$ D2 Q- Y8 V3 [. W- {' e
======================================
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