Data Mining: Fundamentals (2021-22)

"DM1 - Data Mining: Foundations" Class' Team Project - MSc in Data Science and Business Informatics @ University of Pisa

Seismic Bumps Dataset

End of Course Project A.Y. 2021/22
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Data source · Explore file csv · View code

Team members

• Davide Chen
• Marco D'Arrigo
• Xhenis Jaku
• Alberto La Piccirella

About the Dataset

Seismic Bumps

The data was taken by the polish "Institute of Computer Science, Silesian University of Technology" and the " Institute of Innovative Technologies", from a Polish coal mine.
"Mining activity was and is always connected with the occurrence of dangers which are commonly called mining hazards. A special case of such threat is a seismic hazard which frequently occurs in many underground mines. Seismic hazard is the hardest detectable and predictable of natural hazards and in this respect it is comparable to an earthquake. More and more advanced seismic and seismoacoustic monitoring systems allow a better understanding rock mass processes and definition of seismic hazard prediction methods."

About the project

This project consists of analyzing the problem of forecasting high seismic bumps in a coal mine with data mining tools. The project is divided into four parts as follows:

• Data Understanding & Preparation
• Clustering
• Classification
• Pattern mining