Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

An Improved Data Mining Algorithm Based on Concept Lattice

Authors
Xiao-feng Li, Jian-guo Luo, An Shi
Corresponding Author
Xiao-feng Li
Available Online March 2013.
DOI
10.2991/iccsee.2013.28How to use a DOI?
Keywords
component,data,conceptlattice,datamining,integration,Timing mining
Abstract

In order to solve the multidimensional data model and relational data model, query between the two-way data system query, data cleansing, data conversion, centralized, distributed data accuracy and consistency control problem, this paper described the concept of grid-related, the global data mining combined with local data mining, is proposed based on local information based on the concept of a global grid of data mining algorithm, and the mining process was divided into ETL action, combined with the ETL process workflow, vast amounts of data distributed parallel sequence mining. Experiments show that the algorithm has a good effect on enhanced data processing capability.

Copyright
© 2013, 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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Volume Title
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
10.2991/iccsee.2013.28How to use a DOI?
Copyright
© 2013, 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/).

Cite this article

TY  - CONF
AU  - Xiao-feng Li
AU  - Jian-guo Luo
AU  - An Shi
PY  - 2013/03
DA  - 2013/03
TI  - An Improved Data Mining Algorithm Based on Concept Lattice
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 108
EP  - 110
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.28
DO  - 10.2991/iccsee.2013.28
ID  - Li2013/03
ER  -