Beginner · Data
Data fusion
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. Combining data from multiple sources to create more accurate and useful information than any single source provides.
Technical Definition
Combining data from multiple sources to create more accurate and useful information than any single source provides.
How it works
Data fusion is the process of merging information from various sources to achieve a more comprehensive, accurate, and reliable understanding. This integrated information is often superior to what could be obtained from individual data streams.
Related Concepts
- Feature Engineering — The process of creating, selecting, and transforming input variables to improve a machine learning model's performance.
- Data Preprocessing — Transforming raw data into a format suitable for model training.
- Data integration — Combining data from different sources to provide a unified view, crucial for handling large and diverse datasets.