| Sumario: | Data Mining is one of the emerging subfields in computer science and statistics and focuses on finding patterns or relations between large datasets to solve problems and collect in-depth analysis. The use of data mining in literary and cultural datasets allows us to better understand and analyze cultural patterns and past events. This paper explores how the process is carried out and highlights the areas where it can be used to obtain vital information. The paper contains a few applications where data mining is used to collect comparative analysis of past events, understanding the spread of a disease which caused 500 million deaths worldwide, predicting the author of the world's oldest anthem based on the style of writing. Furthermore, the scope of data mining in humanities is discussed and it is hoped this paper will expand readers' thought and provoke ideas about the new and advanced methods used in the field of humanities to have greater insight into our past, culture, and literature.
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