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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)
. F, ^$ u' U6 H  I4 p& ]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)5 R- |1 L" c7 V: B& A" d
11月27-28,2010,武汉,中国 0 L8 s  P# l$ O* z
http://www.icdbta.org/- ~  s7 X2 F& m# ]) S3 w+ |6 R

8 {  j) w0 R# Y论文提交日期: 2010年8月18日6 y; L6 s* z6 b: W
论文录用通知日期: 2010年9月 16 日
& J6 Z# h; r$ W1 N* |, Z! n8 y! G" x论文修订版本提交日期: 2010年9月22日
* I/ R3 q* K! A5 Y- E# y4 r论文注册日期: 2010年9月28日
5 y$ y9 c$ m& w1 h* m; v6 V论文提交系统: http://www.icdbta.org/dbta2010/submission/, h& i0 g8 J# P: C
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)
0 |5 V# i/ F* U" I5 x0 b/ r- U5 d' rIEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交), ~; f2 e: H8 D$ g7 z

/ |+ {2 l- J# n6 S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。
2 o  M# Z9 Y6 J" P
' I; K% p4 l4 S/ l' t5 v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:
) e$ h& R6 J- c+ Q
3 y" a6 a( b/ E1. Database and Related Issue
2 h* T8 f% N$ xTemporal Data. F: x* v- @" a: [* f5 w* y4 c- f$ A. H
Scientific Databases
0 D" n0 }2 u" X: V1 N4 O. }Business database software
3 [1 I6 u, b9 U, P& c# h3 cComputer data processing
: L0 I# t& E0 X5 o0 QData processing services
9 f+ l& |7 h& ~Data processing supplies 6 c- [8 f! c! g
Data processing systems
7 t: E" t0 U. t2 A' cMetadata Management: z- t5 M: [( J/ m6 @
Mobile Data and Information
6 s* b2 v% q6 w; W& ?** Databases
: g& L# `1 W" D$ m' IWWW and Databases- L" H" c' ]) e- y+ ?- R; S6 O2 x; G$ h
Workflow Management and Databases
' e. I+ r5 B* v( U9 x) IXML and Databases
* i. f* K* G+ Z  K6 `) h** Databases0 @, E1 C' c" k2 c& i
Data modeling and architectures' M  N1 v) c7 r" g/ x
Data streaming, data provenance and data quality4 R" d  p/ u! ?) ~  q0 x8 p
Data Security, privacy, and data integrity
6 d, W0 P, m$ ?1 mWeb Data and the Internet/ [+ ^! S0 F& j$ L2 T8 G
XML and databases, web services
1 X* D! ?/ i/ p( k. h$ ^Semi-structured data, metadata
, p( K! J6 T: |! z8 [" x! te-commence
$ `  e3 C3 u; n* c- w% c
/ A9 i0 ?" ]  i9 ?# X2. Data warehouse and Data mining1 e$ c' @2 e$ ~* [1 i
Grid/Parallel/distributed data warehousing* u% ~/ s1 W& R+ E- S/ k
Web/** data warehouses0 Y, t& r) U4 N
Data warehousing and the semantic web) Q# j) Z, E9 F$ B: P$ [
Data warehousing with unstructured data
/ ?! A1 \( _' J! TIntegration of Data Warehousing
/ [, c- O6 u/ x4 \- VData and knowledge representation
/ r: s& d8 ~( ?7 q3 W/ zLanguages and inte**ces for data mining; }& c) m, h$ Z& r
Data integration and interoperability
" \* w7 }1 X! z( J; j. s/ LData extraction, cleansing, transforming and loading
5 h0 v* k4 k- ?Data mining and information extraction
  [! D/ A+ W2 E% `& i% YKDD Process and Human Interaction
5 U( y9 }  S% [. s+ v/ VOLAP and Data Mining: Z- P: k4 Q+ d0 }2 d' A1 @6 H
Parallel and Distributed Data Mining
" |0 G! i& a4 z1 YPhysical database design and performance evaluation: W) f% i5 \  D9 V  H
Query processing and optimization
; w& j( j% R5 d6 [4 bReliability and Robustness Issues
5 S9 I: h0 h& y6 t# _Semantic web and ontology7 t4 g2 s! j9 B" o
Software Warehouse and Software Mining
, f1 I2 \4 p- bSocial and mathematical statistics6 G5 q( X& g2 O! l" n
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) 0 |/ v, o( q2 x3 p' ]9 R0 H" D
Developing a unifying theory of data mining : k- e3 S3 Q# u* q- A: u
Mining sequences and sequential data5 ?7 F% ]8 q$ p1 R0 t7 |; V
Data pre-processing, data reduction, feature selection, and feature transformation
+ \3 r$ |$ k2 S+ t0 A/ WQuality assessment, interestingness analysis, and post-processing
6 ?  L, j9 N: m# d7 }3 KMining unstructured, semi-structured, and structured data8 x' g! w/ \4 F2 p5 b
Mining temporal, spatial, spatio-temporal data
& H7 U% Q3 m9 _Mining data streams and sensor data8 Y5 l. {6 H- V& R6 j
Mining ** data( D# ^8 }7 s) c/ [
Mining social network data" o% m# U) L& i8 U5 q; J
Human-machine interaction and visual data mining 1 F& l0 b$ S5 f1 i
Data mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
4 O8 {5 f/ y- fKnowledge Acquisition & Management; @  y1 l  [/ t) }: k! U
Knowledge Modeling
8 N* n# w! O& @6 LKnowledge Processing
8 ~: l/ g9 W# b3 a) Y+ f; F9 w2 PIntegrated KDD applications and systems
  s% X# M. s0 K* W2 s2 G5 o& [5 ~Business Process Intelligence
6 B* V: I: B0 i  Z5 ]( D5 ACluster Analysis and Knowledge Base system0 `$ |0 I+ I8 ]" m8 r0 X
Information systems technology
! G% ?3 z" a# D: q% h* W6 f' mOther related technology about data mining
! z7 g8 @) U" \+ x: {7 q4 ]4 p: P+ R
3. Computer Science and Related Technology ' d  J! {& w6 t$ x7 a
Image and signal processing
0 {: Y5 c6 l( \+ u2 ZArtificial Intelligence * ?& c) Q; X7 n. V) c
Software engineering 6 w! P3 @9 x* s2 y9 Y- D
Systems Engineering ; R8 _5 V4 i. Z+ C
Computer Graphics
5 ?8 x0 ^  d2 o$ y3 W& x4 c: ]. [! kComputer Application ! ~- Y+ Q  j. m  ]+ l) u; ], ^
Control Technology
( C: h/ E  X% A+ Y6 z) x2 \Network Technology ( [, s5 o# E" |! Y6 C+ u9 Z
Network security : _$ ^2 v* e6 z  Z0 a
Numerical and symbolic computation6 E* E$ E8 Z% k2 ?8 \# ~8 C3 r
Computer Modeling and Simulation. w: C3 p3 t' M, c) A: l
Communication Technology
2 N/ v. Q" V3 Q) D- sAlgorithms and data structures
* x6 T( v/ i6 m) n  hComputer Education
* x8 G' O) h3 COther Advanced Technology
. V2 i% x$ O1 ?2 V- m
' q. Y" V7 v1 C5 z% e% Z) u======================================, b0 N$ O6 H8 H# W
DBTA2010会议联系秘书处
2 W  d+ E( F% j' Z+ i* M
1 N2 [" P/ D9 E) L2 p1 R邮件: dbta2010@vip.sina.com, info@icdbta.org
# Q/ U( D0 s! G4 Q电话: +86-151027691709 u8 ^% Z5 v  C- O
======================================
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