Data Mining and Predictive Analytics

A collection of vocabulary terms and their definitions from the lecture on Data Mining and Predictive Analytics.

Data Mining (DM)

The process of digging through data to discover hidden connections and predict future trends.

Mined Data

Data that is nontrivial, valid, novel, potentially useful, and understandable.

Supervised Learning

A type of machine learning where training data includes both descriptive attributes and class attributes.

Unsupervised Learning

A type of machine learning where training data includes only descriptive attributes without predefined outputs.

Data Reduction

The consolidation of a large number of records into smaller sets or homogeneous groups to improve algorithm performance.

Dimension Reduction

The process of reducing the number of input variables to improve the predictive power, manageability, and interpretability.

Data Exploration

The process of exploring the data to understand its landscape using visualizations like graphs and dashboards.

Predictive Analytics

Methods used to analyze current and historical data to make predictions about future events.

Machine Learning

The ability of computers to learn without being explicitly programmed.

Artificial Neural Networks (ANNs)

A key technology in deep learning inspired by the structure and function of the brain, using interconnected neurons.