Dynamic Data Mining Based on Cloud Model

DOI

10.2991/iccasm.2012.199How to use a DOI?

Keywords

data mining, dynamic data, cloud model, cloud transformation

Abstract

With its continuing in-depth research, data mining has become gradually mature. In comparison with static data mining, dynamic data mining is being appreciated for its capacities of dealing with the data which are uncertain, irregular and obviously time-related. This paper, based on the cloud model theory, proposes a new method of dynamic data mining, which effectively helps handle the dynamic data and achieve some practical values.

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhenguo Zhu
AU  - Ying Kong
AU  - Gen Pei
PY  - 2012/08
DA  - 2012/08
TI  - Dynamic Data Mining Based on Cloud Model
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 787
EP  - 790
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.199
DO  - 10.2991/iccasm.2012.199
ID  - Zhu2012/08
ER  -