Data Mining, How to Get More Value from Your Integrity Data
You've performed your integrity assessments, rehabilitation and mitigation projects and as a result have a more reliable pipeline system, What remains after this work is data, lots of it, which is often integrated into existing data stores and legacy systems across the enterprise.
Data mining is part of a broad practice and set of technologies to extract useful patterns which can then be used to predict future events.
This webinar demonstrated a technology agnostic process of data mining and a comparison of prediction models including Decision Trees, Bayes Theorem, Rules Induction and Regression.
The demonstration focused on predicting gas distribution pipeline leaks providing guidance data elements that are most important in predicting leaks, calibration of your DIMP risk assessment algorithm and prioritization of activities most influential on leak mitigation.
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