The Use Cases of Row Importance in Oracle Machine Learning

by Gabriel Tam | Apr 11, 2026 | BTS Artificial Intelligence (AI), BTS Knowledge Hub

Row importance is a machine learning technique used to identify which individual records in a dataset are the most significant or influential. While many techniques focus on the importance of variables, row importance shifts the focus to the data points themselves. It...

The Use Cases of Time Series in Oracle Machine Learning

by Gabriel Tam | Apr 4, 2026 | BTS Artificial Intelligence (AI), BTS Knowledge Hub

Time series is a machine learning technique used to analyze and predict data that is collected over time. Unlike other approaches that treat data as independent observations, time series focuses on the order and timing of data points. This makes it especially useful...

The Use Cases of Regression in Oracle Machine Learning

by Gabriel Tam | Mar 28, 2026 | BTS Artificial Intelligence (AI), BTS Knowledge Hub

Regression is a supervised machine learning technique used to predict continuous values based on patterns in data. Unlike classification, which assigns data into categories, regression focuses on estimating numerical outcomes. It looks at the relationship between...

The Use Cases of Attribute Importance in Oracle Machine Learning

by Gabriel Tam | Mar 21, 2026 | BTS Artificial Intelligence (AI), BTS Knowledge Hub

Attribute importance is a machine learning technique used to determine which variables in a dataset have the greatest influence on a given outcome. While many datasets contain a large number of features, not all of them contribute equally to predictions. Attribute...

The Use Cases of Clustering in Oracle Machine Learning

by Gabriel Tam | Mar 14, 2026 | BTS Artificial Intelligence (AI), BTS Knowledge Hub

Clustering is an unsupervised machine learning technique that helps find natural groupings within a dataset. Instead of trying to predict a specific outcome, clustering focuses on identifying records that are similar to each other. Data points that share similar...

The Use Cases of Association Rules in Oracle Machine Learning

by Gabriel Tam | Mar 7, 2026 | BTS Artificial Intelligence (AI), BTS Knowledge Hub

Association rules are a type of unsupervised machine learning technique that helps find relationships between items in a dataset. Instead of predicting a specific outcome, the goal is to spot patterns that show how certain items or events tend to occur together. These...