Log Design for Storing Seismic Event Characteristics Using Process, Text, and Opinion Mining Techniques

Abstract:

A fundamental preliminary element for discovering knowledge is the event log. This discovery knowledge from the log can help us to analyze and recognize certain patterns (features) that occur during seismic events. Therefore, in this work, we propose to design the log for seismic events from the information stored in the MySQL database, through the SeisComp3 system and the information of the scientific-technical staff of Instituto Geofísico at Escuela Politécnica Nacional. The design of the mentioned log is the product of the integration of the structures of the models obtained from text, process and opinion mining applied to the primary data with the log-book and the reports of the experts in seismology available in this Institute. Thus, the log will store data that would allow identifying the features of these physical phenomena through intention mining techniques.

Año de publicación:

2018

Keywords:

• Process mining
• Seismic events
• Event Log
• Features
• TEXT MINING
• Log-book
• intention mining
• opinion mining

Fuente:

scopus