Introduction to Data Mining

These flashcards cover essential vocabulary related to Data Mining, its methodologies, and associated concepts.

Data Mining

The process of efficient discovery of previously unknown patterns, relationships, and rules in large databases and data warehouses.

Analytics

The systematic analysis of data or statistics to support better decision-making.

OLTP

Online Transaction Processing, a class of systems that facilitate and manage transaction-oriented applications.

OLAP

Online Analytical Processing, an approach to quickly provide the answer to multi-dimensional analytical queries.

Clustering

A method of grouping a set of objects in such a way that objects in the same group are more similar than those in other groups.

Regression

A statistical method for predicting the value of an outcome variable based on one or more predictor variables.

Classification

The process of finding a model or function that helps divide the data into classes based on different attributes.

Data Warehouse

A centralized repository of integrated data collected from various sources for reporting and analysis.

Curse of Dimensionality

A phenomenon where the feature space becomes sparse, causing problems with the performance of machine learning algorithms.

CRISP-DM

Cross-Industry Standard Process for Data Mining, a data mining model describing the data mining process as a cycle of steps.