A novel method to analyze logs generated by wireless telecommunication systems

A novel method to analyze logs generated by wireless telecommunication systems

Traditional analysis for logs generated by wireless telecommunication systems requires a priori knowledge to explore the common patterns and structures. To overcome this difficulty, this paper presents a new method to analyze logs. We first implement natural language processing (NLP) techniques and...

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Bibliographic Details
Published in:2017 2nd International Conference on Advanced Robotics and Mechatronics (ICARM) pp. 235 - 238
Main Authors: Renai Chen, Weiliang Ji, Shihui Duan, Qiang Ling, Feng Li
Format: Conference Proceeding
Language:English
Published: IEEE 01-08-2017
Subjects:
Feature extraction
Machine Learning
Machine Logs
Mechatronics
Natural Language Processing
Natural languages
Robots
Telecommunications
Text Classification
Wireless communication
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Description
Summary:Traditional analysis for logs generated by wireless telecommunication systems requires a priori knowledge to explore the common patterns and structures. To overcome this difficulty, this paper presents a new method to analyze logs. We first implement natural language processing (NLP) techniques and machine learning (ML) models to process logs and directly vectorize logs. Then we train a classification model to determine the states of logs. Experiments are carried out to confirm the effectiveness of our method.
DOI:10.1109/ICARM.2017.8273166