**Abstract**

Data mining is a technique for identifying patterns in large amounts of data and information. Databases, data centers, the internet, and other data storage formats; or data that is dynamically streaming into the network are examples of data sources. This paper provides an overview of the data mining process, as well as its benefits and drawbacks, as well as data mining methodologies and tasks. This study also discusses data mining techniques in terms of their features, benefits, drawbacks, and application areas.

**Keywords:** Data mining techniques, Data mining process, Regression Analysis, Statistical techniques, Clustering techniques, Neural networks, Nearest Neighbors, Decision trees, Rule induction
