Data Mining Architecture System Expansion

Jing Zhu Li; Hui Ling Wu; Tai Yu Liu

doi:10.4028/www.scientific.net/AMR.926-930.1898

Paper Titles

Augmented Reality Based on Mobile Phones
p.1882

Based on ETEO Pattern Abnormal Event Detection in Wireless Sensor Networks
p.1886

BIM Technology in the Information Age Applications in Interior Design
p.1890

Construction and Application of Integration under IFC Standard Based on BIM Database
p.1894

Data Mining Architecture System Expansion
p.1898

Design and Implementation of Internet Public Opinion Monitoring System
p.1902

Design of QT-4.7 LAN Chat System Based on ARM Linux
p.1906

Design of Update for Remote Device Based on GPRS
p.1910

Development Research of University Library Reader Function Based on Information Technology
p.1914

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930Data Mining Architecture System Expansion

Data Mining Architecture System Expansion

Abstract:

How to build a data warehouse and data mining is constantly worth exploring and optimization, not only technically, in commercial applications as well. This article discusses the introduction of new technologies and concepts, the traditional method of data warehouse technology has changed dramatically, based on data warehouse applications are a new development. Each enterprise data warehouse based on the characteristics of different companies, you can use a very flexible method of selection and design selection, implementation. According to some relatively new technical features, talk about data warehousing and data mining architecture.

You might also be interested in these eBooks

Progress in Applied Sciences, Engineering and Technology

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

1898-1901

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.926-930.1898

Citation:

Cite this paper

Online since:

May 2014

Authors:

Jing Zhu Li, Hui Ling Wu, Tai Yu Liu*

Keywords:

Architecture, Data Mining (DM), Expansion

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Morik, Katharina , Introduction to data mining for sustainability, Data Mining and Knowledge Discovery, v 24, n 2, 2012 pp.311-324.

DOI: 10.1007/s10618-011-0239-5

Google Scholar

[2] Zhang Y, Min F. Application of reinforcement learning based on articial neural network to robot soccer (in Chinese). J Harbin Inst Tech, 2004, pp: 859-861.

Google Scholar

[3] Inamura T, Inaba M, Inoue H. PEXIS: Probabilistic experience representation based adaptive interaction system forpersonal robots. Syst Comput Japan, 2004, pp: 98-109.

DOI: 10.1002/scj.10034

Google Scholar