Extension Data Mining Knowledge Representation

被引：1

作者：

Xie Guangqiang ^{[1
]}

Li Yang ^{[1
]}

机构：

[1] Guangdong Univ Technol, Fac Comp, Guangzhou 510006, Guangdong, Peoples R China

来源：

INTERNATIONAL CONFERENCE ON APPLIED PHYSICS AND INDUSTRIAL ENGINEERING 2012, PT A | 2012年 / 24卷

关键词：

Extension data mining; extension knowledge; knowledge representation;

D O I：

10.1016/j.phpro.2012.02.036

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper research on the representation of transformable knowledge from extension data mining. Traditional data mining technology obtain static knowledge, on the contrary, extension data mining obtain transformable knowledge, which widening the source of knowledge needed in extension strategy generating system. Transformable knowledge representation using finite automata provide us a new method of extension data mining knowledge representation. (C) 2011 Published by Elsevier B.V. Selection and/or peer-review under responsibility of ICAPIE Organization Committee.

引用

页码：240 / 246

页数：7

共 50 条

[1] Decision logics for knowledge representation in data mining
Fan, TF
Hu, WC
Liau, CJ
[J]. 25TH ANNUAL INTERNATIONAL COMPUTER SOFTWARE & APPLICATIONS CONFERENCE, 2001, : 626 - 631
[2] Mining Streaming and Temporal Data: from Representation to Knowledge
Zhang, Xiangliang
[J]. PROCEEDINGS OF THE TWENTY-SEVENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2018, : 5744 - 5748
[3] Knowledge representation forms for data mining methodologies as applied in thoracic surgery
Kircher, A
Granfeldt, H
Babic, A
Antonsson, J
Lönn, U
Ahn, HC
[J]. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2000, : 428 - 432
[4] Knowledge representation analysis of graph mining
Matthias van der Hallen
Sergey Paramonov
Gerda Janssens
Marc Denecker
[J]. Annals of Mathematics and Artificial Intelligence, 2019, 86 : 21 - 60
[5] Knowledge representation analysis of graph mining
van der Hallen, Matthias
Paramonov, Sergey
Janssens, Gerda
Denecker, Marc
[J]. ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE, 2019, 86 (1-3) : 21 - 60
[6] Concept hypotaxis semantic network: A knowledge representation model for multimedia data mining
He, Ling
Wu, Ling-da
Cai, Yi-chao
[J]. 12TH INTERNATIONAL MULTI-MEDIA MODELLING CONFERENCE PROCEEDINGS, 2006, : 409 - 413
[7] Building nursing knowledge through informatics: from concept representation to data mining
Bakken, S
Hardiker, NR
[J]. JOURNAL OF BIOMEDICAL INFORMATICS, 2003, 36 (4-5) : 229 - 231
[8] Spatial data mining and object-oriented knowledge representation in image analysis
Chen, Yan
Sun, Kaimin
Lu, Jian
Lin, Zongjian
[J]. GEOINFORMATICS 2007: GEOSPATIAL INFORMATION SCIENCE, PTS 1 AND 2, 2007, 6753
[9] GrAM: Reasoning with grounded action models by combining knowledge representation and data mining
Hoyningen-Huene, Nicolai V.
Kirchlechner, Bernhard
Beetz, Michael
[J]. TOWARDS AFFORDANCE-BASED ROBOT CONTROL, 2008, 4760 : 47 - +
[10] Data mining for knowledge discovery in mining
Golosinski, TS
Hu, H
[J]. MINE PLANNING AND EQUIPMENT SELECTION 2001, 2001, : 1011 - 1018

← 1 2 3 4 5 →