Female Employment Data Analysis Based on Decision Tree Algorithm and Association Rule Analysis Method

Table 1

Comparison of various data mining algorithms.

Technical methods	Main functions and characteristics	Application areas
Decision tree	Inductive classification; comprehensibility	Telecommunications, medicine, retail, etc.
Genetic algorithm	Clustering and optimization; efficiency	Finance, insurance, agriculture, etc.
Rough set	Uncertainty classification	Retail, financial, manufacturing, etc.
Neural networks	Prediction, classification, and clustering; poor interpretability	Telecommunications, insurance, manufacturing, etc.
Bayesian network	Classification, clustering, and prediction; easy to understand	Medicine, manufacturing, telecommunications, etc.
Association rules	Classification and clustering	Retail, insurance, manufacturing, etc.
Statistical analysis	Clustering; accurate results; easy to understand	Finance, manufacturing, medicine, etc.
Support vector machines	Classification; small error	Medicine, telecommunications, and financial industries, etc.