| Association Rule Mining |
Discovering interesting relationships or association patterns among a set of items in large datasets. |
| Big Data |
Extremely large and complex data sets that cannot be easily managed or analyzed using traditional data processing techniques. |
| Classification |
Predicting the class or category of an object based on its attributes. |
| Clustering |
Grouping a set of objects in such a way that objects in the same group are more similar to each other than those in other groups. |
| Data Mining |
The process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. |
| Data Preprocessing |
Cleaning and transforming raw data into a suitable format before performing analysis or mining. |
| Decision Tree |
A flowchart-like structure in which each internal node represents a feature, each branch represents a decision rule, and each leaf node represents the outcome. |
| Feature Selection |
Selecting a subset of relevant features from the original dataset to improve the performance of a machine learning model. |
| Machine Learning |
Enabling computers to learn and make decisions from data without being explicitly programmed. |
| Pattern Recognition |
The automated recognition of patterns and regularities in data. |
