Association rule mining with earthquake data collected from Turkiye
  region
Baha Alturan Ilker Turker
Earthquakes are evaluated among the most destructive disasters for human
beings, as also experienced for Turkiye region. Data science has the property
of discovering hidden patterns in case a sufficient volume of data is supplied.
Time dependency of events, specifically being defined by co-occurrence in a
specific time window, may be handled as an associate rule mining task such as a
market-basket analysis application. In this regard, we assumed each day's
seismic activity as a single basket of events, leading to discovering the
association patterns between these events. Consequently, this study presents
the most prominent association rules for the earthquakes recorded in Turkiye
region in the last 5 years, each year presented separately. Results indicate
statistical inference with events recorded from regions of various distances,
which could be further verified with geologic evidence from the field. As a
result, we believe that the current study may form a statistical basis for the
future works with the aid of machine learning algorithm performed for associate
rule mining.