Data Mining

Data mining is the process of sorting through a large amount of data in order to find patterns and to identify relationships. Data mining is important because of how it can impact majors like business. It can help business as it allows business owners to better understand their audience. It has been known that data mining can help develop better marketing strategies, increase overall sales, and increase cost effectiveness. Using these tactics, business's can increase rapidly and allow for the public to at least know what their business is providing. This data can be anything from website visitor data to sales data.

There are several subcategories of data mining: cluster, classification, association, anomaly, regression, and text. Clustering is when you are looking for groups of data that have similar characteristics. Classification refers to sorting items (individual) into categories based on a previously learned model. Finally association is when data is identified and is found near one another. Anomaly data mining is when you look for irregular pieces of data that do not fit in with the rest. This is commonly used when looking out for fraud. Regression is more commonly used for statistics and is very useful when predicting data. Finally text mining analyzes how often people use certain words. It can also be used to prevent data leaks and to analyze social media posts for marketing purposes. It can be seen that data mining is not only used for business but can be used for a number of different tasks.

Stedman, C., & Hughes, A. (2021, September 7). What is data mining?. Business Analytics. https://www.techtarget.com/searchbusinessanalytics/definition/data-mining#:~:text=Data%20mining%20is%20the%20process,make%20more%2Dinformed%20business%20decisions.

Crockett, E. (2023a, June 30). What is data mining?: Types, methods & examples. Datamation. https://www.datamation.com/big-dahttps://www.datamation.com/big-data/what-is-data-mining/ta/what-is-data-mining/