---
title: "Data Mining — AP CSP Definition & Exam Guide"
description: "Data mining extracts patterns from large datasets. Learn how AP CSP tests it in Units 2 and 5, from gaining insight from data to unintended discriminatory effects."
canonical: "https://fiveable.me/ap-comp-sci-p/key-terms/data-mining"
type: "key-term"
subject: "AP Computer Science Principles"
---

# Data Mining — AP CSP Definition & Exam Guide

## Definition

Data mining involves extracting useful patterns or knowledge from large datasets using techniques such as statistical analysis, machine learning, and pattern recognition.

## Related Study Guides

- [Big Idea 5 Overview: Impact of Computing](/ap-comp-sci-p/unit-5/review/study-guide/5aed2VkfxMBYFkBVCEhn)
- [2.4 Using Programs with Data](/ap-comp-sci-p/unit-2/using-programs-with-data/study-guide/UGafCp61FHKkWAvRBJbQ)
- [5.1 Beneficial and Harmful Effects](/ap-comp-sci-p/unit-5/beneficial-harmful-effects/study-guide/rErWKPcu55DLj7N7L8hZ)

## Review

### Related Terms

- Big data: Big data refers to extremely large and complex datasets that cannot be easily managed or analyzed using traditional methods.
- Clustering: Clustering is a data mining technique that involves grouping similar objects together based on their characteristics or attributes.
- Association rule mining: Association rule mining is a technique used in data mining to discover interesting relationships or patterns among items in large datasets.