Evaluation of Data Mining Classification Algorithm by Monitoring Fall Detection Anomaly using Discriminative Approach

Data mining plays a vital role in various sectors such as health care, finance, business, intrusion detection, scientific analysis and research. The user health behavior can be classified using various data mining models so that the analysis can be used for future predictions on the healthcare unit. The proposed model compares and evaluates various discriminative classification algorithms and shows the result of best classification model by applying it to the fall detection anomaly dataset