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The 2nd International Workshop on Database Technology and Applications (DBTA2010)! V, [! o9 A$ `5 C) u
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)
- Y- a5 U/ ]5 z4 a* ^11月27-28,2010,武汉,中国 ' ^! K- d6 v0 J \8 Z n' p
http://www.icdbta.org/dbta2010/
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7 E9 h6 U- j% s# _3 _7 \论文提交日期: 2010年8月18日0 s4 ~: G# U: w% ?, P7 s0 B
论文录用通知日期: 2010年9月 16 日
( _; M8 k& d: _; \1 p& W论文修订版本提交日期: 2010年9月22日$ C) a/ M( \3 @4 f9 W7 \+ ?
论文注册日期: 2010年9月28日5 A0 ? L, ?: K2 k" f8 Z- W. |8 U
论文提交系统: http://www.icdbta.org/dbta2010/submission/
9 i% u; e8 T7 {3 j会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)
' G% E. y4 e8 j3 SIEEE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EI Compendex和ISTP检索。会议优秀论文将被推荐选入EI或SCI收录的国际期刊专刊发表。( Y: O; x. a. B
8 G$ O0 Z$ o) N+ C5 ]9 P _7 }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三个领域构成,但并不局限于:
4 c' d1 p, K) r+ z' p% W1. Database and Related Issue / 数据库与相关领域
+ x% l% E$ h4 S$ CTemporal Data
. V+ d Z( d* D WScientific Databases
& D( V; d7 `$ M7 o# RBusiness database software6 ^7 {, x- d6 H) t) T
Computer data processing 9 Z3 Y" Q3 C3 B6 q7 ~0 P& Z$ J+ {
Data processing services
7 B$ Y' c) V$ k% L6 H+ l, E. U1 FData processing supplies 1 u6 ^8 V* _1 p+ n/ U0 H
Data processing systems
# l7 v* C" U* u1 t" J+ O. d' i* Z7 Z lMetadata Management
8 S& |+ Z2 j0 {: DMobile Data and Information* L( N" r* D) h! U
Multimedia Databases( F/ _. u8 {0 @
WWW and Databases, n" t+ H+ H* e3 H# T- X
Workflow Management and Databases: C) ^* g8 _1 u2 O0 v
XML and Databases! F& w7 e: m9 f& E, ?6 A
Multimedia Databases( N) i+ {; V) \: j* ~+ b$ [" p
Data modelling and architectures
& [( c3 V6 J0 Q6 a1 ?% eData streaming, data provenance and data quality
7 r. y3 w, h' \) n+ MData Security, privacy, and data integrity
]9 O( D6 s: w1 v& B9 y' h) rWeb Data and the Internet
$ l$ x/ K9 b, M! xXML and databases, web services
) C1 j( m- r4 ~Semi-structured data, metadata
9 g" u9 P' o8 m6 |/ I w+ `e-commence
( P. O7 r- v6 h$ p8 a7 T% m$ c) F' S$ S/ A0 m
2. Data warehouse and Data mining /数据仓库和数据挖掘5 u/ m# D! x3 ^( F, d% j- z1 k
Grid/Parallel/distributed data warehousing
5 C9 w& ^0 Q4 \) I3 C) X: UWeb/multimedia data warehouses; t& l4 R4 G: G5 \- X4 Y
Data warehousing and the semantic web* U' a9 j) d2 X2 H& D4 i
Data warehousing with unstructured data
# L- N6 i7 \- j! a/ e& b2 SIntegration of Data Warehousing+ c& F J4 ^. `, ]9 a4 W
Data and knowledge representation
& f/ w5 U) j& Y% Y# rLanguages and interfaces for data mining
- H i6 n. @' [9 ?$ r) ^Data integration and interoperability
+ i! T; p+ e0 x- I" L! V/ a" Y6 hData extraction, cleansing, transforming and loading* N. K. q1 d$ O: j! w W
Data mining and information extraction
: K' s6 f& M5 `1 m9 AKDD Process and Human Interaction
4 s: p7 w) n: S. E/ \- V8 K2 U$ oOLAP and Data Mining8 R7 d! m! Q- h" w0 q: f6 y; v
Parallel and Distributed Data Mining
& U- u$ f9 h, h- |Physical database design and performance evaluation8 W! D' T1 X% ? d
Query processing and optimization& u" i G, i# ~# m1 h7 L* T
Reliability and Robustness Issues* R# s: q3 }2 g$ z1 x! d
Semantic web and ontologies d5 A# E' }, r% L& Y: a2 {3 L
Software Warehouse and Software Mining
0 \7 Z5 e( s: i+ @. zSocial and mathematical statistics! D/ v6 U4 V1 X: I" O
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis) $ h; f, W* M) ?" @
Developing a unifying theory of data mining + T) `, [+ C+ ~( P5 c: K0 U* N
Mining sequences and sequential data
" F" q; L6 B, b4 j/ AData pre-processing, data reduction, feature selection, and feature transformation
9 o8 R0 O" A& ^" M0 Z0 ?# ^Quality assessment, interestingness analysis, and post-processing 4 j) ^: n; O6 _. @$ \0 f( Q
Mining unstructured, semi-structured, and structured data
7 m+ ]3 D! d; C- U8 RMining temporal, spatial, spatio-temporal data
' ?- }8 M. g1 tMining data streams and sensor data
) ^+ T3 R0 d7 x$ lMining multimedia data6 h( S) Q4 |5 S; s9 C+ H3 l
Mining social network data, _$ M. B) p. v7 Q2 l/ J& M1 _
Human-machine interaction and visual data mining
7 [0 Y" A" h! e L; d# hData mining applications(bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
/ w7 V: t/ O- x" P8 jKnowledge Acquisition & Management. z" b: w( }) u
Knowledge Modelling, T; V/ P( \- v1 Y0 U
Knowledge Processing7 J* }4 P7 L. c" r6 g
Integrated KDD applications and systems
8 f* e1 |5 T: U+ ^2 XBusiness Process Intelligence1 N7 q4 _5 v4 x/ ^
Cluster Analysis and Knowledge Base system
7 c# A" ]" ^ |- TInformation systems technology
g/ q" i: H0 l& F- SOther related technology about data mining
2 y. x( h- ]% p! r- }1 T1 z3. Computer Science and Related Technology /计算机科学和相关技术! I% P( L4 ~- N- g: S8 o
Image and singnal processing # H. f( ?/ I6 D) J! x
Artificial Intelligence
6 o, c) y2 V! C0 p* b# eSoftware engineering
/ U; }/ ~0 y) G, o1 [1 t: JSystems Engineering 5 y0 V# g; i9 \, y) n/ L& {1 c
Computer Graphics . G9 Y1 }( Y k! W# K7 @7 \
Computer Application # W0 a1 }! h0 M. ~$ K
Control Technology
7 A! }' I" r" K7 R0 DNetwork Technology 8 c, ]- M$ [$ {- M! y9 I* H
Network security
) I" u' Q# w! {Numerical and symbolic computation
; a8 A- B: v; j3 D! b3 f7 pComputer Modeling and Simulation$ S* ]. _* \! q% K! p/ {! C/ f2 p- ~1 @
Communication Technology
4 k# n; G0 [; E: sAlgorithms and data structures* N5 ?% I+ ]5 \2 ]9 l
Computer Education
0 N/ a. _* K0 G' u8 K; ~7 kOther Advanced Technology
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" Y( ^+ d4 D4 p. m. t' A) H# L3 ODBTA2010会议联系秘书处+ e b8 s9 o, X. I0 z1 H: o$ W
" m& Z, Y3 Y8 {+ E2 E; i5 u v邮件: info@icdbta.org, dbta2010@vip.sina.com' I: {! ]3 F0 Z2 |4 c0 B3 j; r
电话: +86-15102769170
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