Add to ORKGThe Subdue structural discovery system is being used as the Data Mining tool to study the "Orizaba Fault " located in Mexico, as part of a research project of the geologist Dr. Burke Burkart. We analyze the information of the Earthquake Database to discover if the earthquake activity in the area is related to the fault. We experimented with different samples of data mainly using two heuristics to guide Subdue through the substructure discovery process. We also added some spatio-temporal information as background knowledge. The results show how Subdue can successfully be used as a Data Mining tool in Real World Domains
In this study, we present a fully automated procedure to analyze online news using data mining techn...
The coast in the state of Jalisco and south of Nayarit is located within a region of high seismic po...
Machine learning algorithms are used in this thesis to predict earthquake parameters for simulated a...
The suggested methodology presented in this work uses data mining to identify seismic zones and time...
For engineering design and seismic risk assessments, earthquake ground motions are characterized usi...
Discovering repetitive, and functional substructures in large structural databases improves the abil...
The Tehuantepec seismic gap, located off the southern shore of Oaxaca and Chiapas, Mexico, was previ...
The occurrence of earthquakes may have catastrophic and devastating consequences for the inhabitants...
News agencies work around the clock to report critical news such as earthquakes. We investigate the ...
Discovering repetitive, interesting, and functional substructures in a structural database improves ...
The Tehuantepec seismic gap, located off the southern shore of Oaxaca and Chiapas, Mexico, was previ...
Abstract. Earthquake phenomena constitute a rich source of information over the years. Typically, th...
This paper focuses on prediction and prevention of seismic risk through a system for decision making...
Datasets associated with manuscript "Cascadia Subduction Zone Fault Heterogeneities from Newly Detec...
This article provides an overview of current applications of machine learning (ML) in seismology. ML...
In this study, we present a fully automated procedure to analyze online news using data mining techn...
The coast in the state of Jalisco and south of Nayarit is located within a region of high seismic po...
Machine learning algorithms are used in this thesis to predict earthquake parameters for simulated a...
The suggested methodology presented in this work uses data mining to identify seismic zones and time...
For engineering design and seismic risk assessments, earthquake ground motions are characterized usi...
Discovering repetitive, and functional substructures in large structural databases improves the abil...
The Tehuantepec seismic gap, located off the southern shore of Oaxaca and Chiapas, Mexico, was previ...
The occurrence of earthquakes may have catastrophic and devastating consequences for the inhabitants...
News agencies work around the clock to report critical news such as earthquakes. We investigate the ...
Discovering repetitive, interesting, and functional substructures in a structural database improves ...
The Tehuantepec seismic gap, located off the southern shore of Oaxaca and Chiapas, Mexico, was previ...
Abstract. Earthquake phenomena constitute a rich source of information over the years. Typically, th...
This paper focuses on prediction and prevention of seismic risk through a system for decision making...
Datasets associated with manuscript "Cascadia Subduction Zone Fault Heterogeneities from Newly Detec...
This article provides an overview of current applications of machine learning (ML) in seismology. ML...
In this study, we present a fully automated procedure to analyze online news using data mining techn...
The coast in the state of Jalisco and south of Nayarit is located within a region of high seismic po...
Machine learning algorithms are used in this thesis to predict earthquake parameters for simulated a...