Architectural Patterns

Machine learning pattern

This pattern helps to find a pattern of data inputs generated from heterogeneous devices, such as RFID devices, energy meters, signal devices, weather-related devices, and so on.

Understanding data generated by automated systems, or devices without manual intervention, is a challenging task, and one needs to rely on algorithms and statistical methods. Fortunately, there are excellent algorithms that help to analyze this data, and some of the conventional algorithms are as follows:

• Naïve Bayes classifier algorithm
• K Means clustering algorithm
• Support vector machine algorithm
• Apriori algorithm
• Linear regression
• Hypothesis testing
• Clustering
• ANOVA
• Logistic regression
• Neural networks / artificial neural networks
• Random ...