Data Mining Digs Deep to Protect Coalminers

In a big data competition that gives new meaning to “data mining,” a team of machine learning experts provided the most accurate predictions about possible seismic activity in active coalmines. The predictions could eventually be used to improve mine safety. Big data science specialist Deepsense.io of Menlo Park, Calif., said separate machine learning teams captured the top two places in a recent artificial intelligence competition designed to provide the most accurate solutions to predicting earthquakes that could endanger the lives of coal miners. The data mining competition held as part of an annual symposium on advances in artificial intelligence required data scientists from around the world to develop algorithms that could be used to predict periods of intense seismic activity. The algorithms were based on analyses of seismic energy flow…


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