Speleology Speleology Speleology is the scientific study of caves and other karst features, their make-up, structure, physical properties, history, life forms, and the processes by which they form (speleogenesis) and change over time (speleomorphology). The term "speleology" is also sometimes applied to the recreational activity of exploring caves, but this is more properly known as "caving" or "potholing", or (not usually by participants) by the uncommon American term "spelunking". Speleology and caving are often connected, as the physical skills required for "in situ" study are the same. Speleology is a cross-disciplinary field that combines the knowledge of chemistry, biology, geology, physics,
Data exploration are many possible patterns and algorithms that can be applied to data via machine learning. By employing machine learning, it is possible to find patterns or relationships in the data that would be difficult or impossible to find via manual inspection, trial and error or traditional exploration techniques. Data exploration Data exploration is an approach similar to initial data analysis, whereby a data analyst uses visual exploration to understand what is in a dataset and the characteristics of the data, rather than through traditional data management systems. These characteristics can include size or amount of data, completeness of the data,