An Improved Data Mining Algorithm Based on Concept Lattice

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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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  -