Application of Improved DBSCAN Clustering Algorithm on Industrial Fault Text Data

The industrial fault text data are the special type of short texts, and they come from the records of faults in the factory. Clustering the industrial fault text data can reduce the redundant data and find out the hidden information, which is of great significance to improve the utilization of the i...

Full description

Bibliographic Details

Published in:	IEEE International Conference on Industrial Informatics (INDIN) Vol. 1; pp. 461 - 468
Main Authors:	Wang, Xiaohan, Zhang, Lin, Zhang, Xuesong, Xie, Kunyu
Format:	Conference Proceeding
Language:	English
Published:	IEEE 20.07.2020
Subjects:	Clustering algorithm Clustering algorithms Conferences DBSCAN Degradation Faces Industrial fault text data Informatics Production facilities Text clustering
ISSN:	2378-363X
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!