Study on the method of fast mining for intelligence data in a library database

DOI

10.2991/amcce-15.2015.325How to use a DOI?

Keywords

improved fuzzy genetic algorithm; data mining; intelligence data;

Abstract

The fast mining method for intelligence data in library database occupies an important position in the field of data processing. With traditional algorithm to dig intelligence, when encounter the interference of characteristic similarity, fuzzy rules are utilized to establish mining association rules, however, during the establishment of fuzzy rules, once characteristics are too close, a lot of constraints need to be added to establish rules, which leads to complicated rules and strong limitations, the calculation process is complicated, thus, the information data mining speed is reduced. For this, library database intelligence data mining method based on improved fuzzy genetic algorithm is proposed. Information characteristics model of intelligence data of library database is constructed, the update smoothing is conducted for data training samples under iterative genetic state, based on the rule of smaller square difference function value to update the central point of clusters, to obtain the power spectral density function of intelligence data as feature, with the improved fuzzy genetic algorithm to select intelligence data features, and compute fuzzy clustering center of intelligence data flow information focused on the multi space, associate the training set and the category to obtain the attribute set classification and information gain of intelligence data, so as to improve the mining performance for intelligence data in a library database. Simulation results show that intelligence data mining method based on the improved fuzzy genetic algorithm has high efficiency and precision.

Copyright

© 2015, 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  - Yu Jie
PY  - 2015/04
DA  - 2015/04
TI  - Study on the method of fast mining for intelligence data in a library database
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.325
DO  - 10.2991/amcce-15.2015.325
ID  - Jie2015/04
ER  -