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The 2nd International Workshop on Database Technology and Applications (DBTA2010)
- a+ k9 \; A9 [6 A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)
* u s ?* a- c. q t, N' ?11月27-28,2010,武汉,中国
5 }! D! s; A6 v1 u, Y7 j |http://www.icdbta.org/$ J/ N# d6 [, d$ u Z! U
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论文提交日期: 2010年8月18日0 r: a8 c1 x( u3 }, c2 g5 G
论文录用通知日期: 2010年9月 16 日4 t s, F6 u @ ?2 b
论文修订版本提交日期: 2010年9月22日
; S+ U; T! ] B+ _' Z! e% D. Y论文注册日期: 2010年9月28日
_8 F& B$ Q! w3 R7 B论文提交系统: http://www.icdbta.org/dbta2010/submission/
+ g; G5 e. Y- ?8 t0 ~# J+ s会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)% `" t2 H1 x2 b7 N6 u+ M, S8 [ z9 p& l
IEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)
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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。
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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:
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3 \: _) m2 b6 n% M1. Database and Related Issue
" u4 ^2 u- Y( ?2 q5 m$ ^+ C+ NTemporal Data B$ P8 v7 C: Y. G% \
Scientific Databases
+ T' I: t5 K9 S" o4 h- [# OBusiness database software
' d4 m( G u/ [% T' P/ `) y8 \Computer data processing 7 U! l5 q6 r( T3 z1 B# S. D
Data processing services * [" D" C: g/ z9 s+ ~- K
Data processing supplies + A& n9 ?, H _. W; K9 j: v( z, k
Data processing systems
) V* I; U* w: z7 Y% k: YMetadata Management* n/ o; B+ {' Z% k3 R
Mobile Data and Information8 E3 Z7 d$ U: O
** Databases
% e+ M1 }2 `+ T* MWWW and Databases6 A3 E" { R" `
Workflow Management and Databases
5 S0 g& F& s, `: a tXML and Databases5 h+ X H0 D, R- M& {9 H% B
** Databases9 L I$ K$ D; I: @" f F
Data modeling and architectures: `6 V s9 p( i# B$ M L
Data streaming, data provenance and data quality
/ y. F" t8 R9 g- Y. l2 RData Security, privacy, and data integrity S& y5 e! h7 G# O' [* L& `
Web Data and the Internet) f/ k+ v3 `$ g/ C1 e; s: w/ y
XML and databases, web services
7 F0 g$ A2 c; YSemi-structured data, metadata; r- e9 p j8 T/ F
e-commence& l5 K; A, h( p8 u; t
3 |7 k* h6 F# c0 Z4 l. H2. Data warehouse and Data mining
+ v5 E; d8 S' A% R0 T3 `. Y. ^Grid/Parallel/distributed data warehousing/ n" S% R% p3 {6 J
Web/** data warehouses
1 t5 o8 D8 K# k' W; \9 u7 `& QData warehousing and the semantic web
8 |" O" @7 e; G [# I7 R2 A& Z) AData warehousing with unstructured data
/ c5 _+ j8 h ~7 \2 z. w: J. \Integration of Data Warehousing
2 N1 q0 ]( n$ ?; h+ ^$ U/ ~/ fData and knowledge representation
. |0 r4 S6 w* @, y$ A- W& P) L! \, tLanguages and inte**ces for data mining
' Z7 {9 a2 _8 N. ?* K G# yData integration and interoperability
* Y1 H) j. X* ]1 j. U. P- PData extraction, cleansing, transforming and loading: o) P0 A9 y% @+ j' ~
Data mining and information extraction
?& P3 _: S, F" G- nKDD Process and Human Interaction
" y/ d8 k6 |) y) C POLAP and Data Mining$ |& \9 ]6 c9 H0 i# T3 t5 ?) V- _3 h
Parallel and Distributed Data Mining
6 p3 I4 M0 ]+ X, ?Physical database design and performance evaluation
; A* ^3 s+ k: x0 f5 f, e5 e0 dQuery processing and optimization# X! M0 @, Q* A6 M; x1 o
Reliability and Robustness Issues M6 {8 O0 U/ m" z
Semantic web and ontology! m2 M5 |4 S" Z$ o$ N7 g) q5 R
Software Warehouse and Software Mining% @0 f/ E7 k: L/ k5 A
Social and mathematical statistics
% J) X7 @4 A5 T" X3 }7 D, ]3 a9 dNovel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) 6 ]! s. [1 l: m! k
Developing a unifying theory of data mining , G7 W5 M" x# j9 S+ \
Mining sequences and sequential data+ V* u: h7 L4 T0 P
Data pre-processing, data reduction, feature selection, and feature transformation
. m4 Y2 e# B$ B {; WQuality assessment, interestingness analysis, and post-processing & p+ w- q, S g0 R
Mining unstructured, semi-structured, and structured data
$ k, a% y9 j1 T$ T0 z% @Mining temporal, spatial, spatio-temporal data l u' i3 W5 Z
Mining data streams and sensor data
) W$ O* \2 y0 x VMining ** data
; g) i( v* l1 z% ?8 m) Y) vMining social network data# x: p& a* H$ Y; a
Human-machine interaction and visual data mining
" Q0 v# @, U1 l" QData mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)6 V. }1 k5 [4 k2 P+ ^' o- ~
Knowledge Acquisition & Management/ a) {% r# a+ ^+ b
Knowledge Modeling# I" f* x# v' c3 ^' T9 j
Knowledge Processing8 b7 T0 d( H" x: I" X3 X" [: t
Integrated KDD applications and systems
; j- J4 h P X8 F8 w" q- F, \: CBusiness Process Intelligence0 B' p6 i* c" X& s/ P. s; W4 F
Cluster Analysis and Knowledge Base system
& b0 t8 t+ G4 V9 b% g& r9 D" x ~Information systems technology
" O/ \! b- e9 q6 \( N+ `. y' ~" TOther related technology about data mining
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3. Computer Science and Related Technology
* a+ D( A0 e6 X- b `! H2 PImage and signal processing
( ]" [( G s& K1 tArtificial Intelligence ( B% r' l% g, Y$ k9 ]5 F
Software engineering
4 }9 F0 t0 t: USystems Engineering * Z7 z" }6 D* S9 R/ R, k
Computer Graphics
, |8 R8 S: `# w4 GComputer Application
$ c2 ~6 O7 _+ @- |' aControl Technology 2 t3 Q' j4 N4 x
Network Technology
; I6 l% C( S( |" b: t; J4 d4 A/ LNetwork security
0 t" Q: D+ a4 a& fNumerical and symbolic computation
: n) |0 c/ B$ x" x& U# }Computer Modeling and Simulation
, ?1 U* v/ U; @Communication Technology C8 s* D: `) B4 B
Algorithms and data structures
y9 W+ N. e$ \3 j7 L; Z; f3 QComputer Education9 e8 A" M. O' F) @- O" I1 P
Other Advanced Technology
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DBTA2010会议联系秘书处
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邮件: dbta2010@vip.sina.com, info@icdbta.org
3 w* @3 Q$ A: e4 E; |- R/ j电话: +86-15102769170. Q6 x& }) l7 F) N6 N6 S
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