Proceedings of the 2016 6th International Conference on Management, Education, Information and Control (MEICI 2016)

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Review of Algorithms for Data Mining

Authors
Huanchen Bai, Xiaojun Liu
Corresponding Author
Huanchen Bai
Available Online September 2016.
DOI
10.2991/meici-16.2016.79How to use a DOI?
Keywords
Data Mining; Classification; Clustering; Association rules
Abstract

Data mining also known as Knowledge Discovery in Databases. This Paper is divided main data mining method into three types: classification, clustering and association rule mining, and gives each method typical algorithm to analyze the advantages and disadvantages of its application scenarios.

Copyright
© 2016, 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 2016 6th International Conference on Management, Education, Information and Control (MEICI 2016)
Series
Advances in Intelligent Systems Research
Publication Date
September 2016
ISBN
10.2991/meici-16.2016.79
ISSN
1951-6851
DOI
10.2991/meici-16.2016.79How to use a DOI?
Copyright
© 2016, 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

risenwbib
TY  - CONF
AU  - Huanchen Bai
AU  - Xiaojun Liu
PY  - 2016/09
DA  - 2016/09
TI  - Review of Algorithms for Data Mining
BT  - Proceedings of the 2016 6th International Conference on Management, Education, Information and Control (MEICI 2016)
PB  - Atlantis Press
SP  - 383
EP  - 386
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-16.2016.79
DO  - 10.2991/meici-16.2016.79
ID  - Bai2016/09
ER  -