Research on the Application Scheme of Enterprise Data Mining Based on Extension Set

DOI

10.2991/nceece-15.2016.246How to use a DOI?

Keywords

Extenics; extension set; matter-element analysis; data mining; enterprise information; data quality; data mining consulting

Abstract

The quality difference of data itself cause low credibility of data mining conclusions, which has become an important factor affecting the application of data mining. The cleansing algorithms and tolerate algorithms designed in view of incomplete data can not solve this problem fundamentally. By means of in-depth analysis of the reasons for this contradictory phenomenon, the matter-element extension set is established for corporate data, and the application scheme of data mining enterprise on basis of extension method has been proposed. With complete data sets mining data required as conditions of matter-element, it can find the gap between the quality of data, and promote the development transform of matter-element extension set domain with affair-element "data mining consulting", introducing measures to drive the data quality improvement through the application consulting of data mining, so as to solve the contradiction between data quality, so that the companies with low data quality can also implement data mining projects to improve decision-making information level.

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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TY  - CONF
AU  - Chunxu Jiang
AU  - Bo Guan
PY  - 2015/12
DA  - 2015/12
TI  - Research on the Application Scheme of Enterprise Data Mining Based on Extension Set
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 1395
EP  - 1398
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.246
DO  - 10.2991/nceece-15.2016.246
ID  - Jiang2015/12
ER  -