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Predictive usage mining for life cycle assessment
Jungmok Ma
,
Harrison Hyung Min Kim
Industrial and Enterprise Systems Engineering
Beckman Institute for Advanced Science and Technology
Biomedical and Translational Sciences
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Keyphrases
Life Cycle Assessment
100%
Usage Mining
100%
Usage Patterns
33%
Assessment Algorithm
33%
Environmental Impact
22%
Prediction Accuracy
22%
Sensor Data
22%
Scale Sensor
22%
Usage Modeling
22%
Accurate Estimation
11%
Modeling Techniques
11%
Complex Patterns
11%
Abnormal Value
11%
Usage Model
11%
Agricultural Machinery
11%
Product Operations
11%
Usage Information
11%
Use Stage
11%
Change Point Analysis
11%
Automated Segmentation Methods
11%
Engineering
Life Cycle Impact Assessment
100%
Constant Rate
22%
Sensor Data
22%
Limitations
11%
Point Analysis
11%
Agricultural Machinery
11%
Earth and Planetary Sciences
Life Cycle Assessment
100%
Seasonality
22%
Time Series
11%
Real Time
11%
Agricultural Machinery
11%