Informatics for Health Professionals

chapter16

Data Mining as a Research Tool

Dee McGonigle, Kathleen Mastrian, and Craig McGonigle

OBJECTIVES

1. Describe big data.

2. Assess knowledge discovery in data.

3. Explore data mining.

4. Compare data mining models.

Key Terms

Algorithms

Bagging

Big data

Boosting

Brushing

Classification

Classification and regression trees

Data mining

Data set

Decision trees

DMAIC (define, measure, analyze, improve, control)

Drill-down

Exploratory data analysis

Knowledge discovery and data mining

Knowledge discovery in data

Knowledge discovery in databases

Length of stay

Machine learning

Meta-learning

Modeling

Multidimensional databases

Neural networks

Online analytic processing

Return on investment

Scoring

SEMMA (sample, explore, modify, model, assess) ...