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Series Modeling
Classification
Categorizing Series data by Specific Classes
Categorize one Data into single Class according to its FeaturesDetails
- Define the Classes Users want to Categorize
- Prepare the Data Users want to Learn and Start Learning after Labeling
- Use some of the Data as Validation Data if necessary
- Use Evaluation Data to determine which Classes are Classified for Models that have been Trained
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Example
- Determine Equipment status with Log data
- Use the Log data generated by the Equipment to determine the State of Equipment
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Regression
Reverting Series data to a specific Value
Match single Data to a specific Value according to the FeatureDetails
- Define the Value that Users want to Regress
- Prepare the Data Users want to Learn, specify a Value to match, and start Learning
- Use some of the Data as Validation Data if necessary
- Use Evaluation data for Models that have completed Learning to calculate Estimates by Data
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Example
- Predicting the Fuel Economy of a Car
- Use Characteristics such as Number of Cylinders, Displacement, Horsepower, and Tolerance Weight to calculate Vehicle Fuel Efficiency
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Prediction
Predict the Values or Features that will appear after the Current Data, if the Series Data is Time Series
Details
- Define a Value, Class, or Feature that Users want to Predict
- Start Learning by preparing the Data Users want to Learn
- Predict Data using Models that have been Trained and compare it to Real Data to produce Results
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Example
- Weather Forecast
- Predict Future weather using Characteristics and Weather data such as Temperature, Atmospheric pressure, and Humidity from the past
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Deep Learning Algorithm Development, Machine Vision, Inspection Machine Production
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