A process for predicting manhole events in Manhattan

Cynthia Rudin, Rebecca J. Passonneau, Axinia Radeva, Haimonti Dutta, Steve Ierome, Delfina Isaac
2010 Machine Learning  
We present a knowledge discovery and data mining process developed as part of the Columbia/Con Edison project on manhole event prediction. This process can assist with real-world prioritization problems that involve raw data in the form of noisy documents requiring significant amounts of pre-processing. The documents are linked to a set of instances to be ranked according to prediction criteria. In the case of manhole event prediction, which is a new application for machine learning, the goal
more » ... to rank the electrical grid structures in Manhattan (manholes and service boxes) according to their vulnerability to serious manhole Editor: Carla Brodley. This work was done while Cynthia Rudin was at
doi:10.1007/s10994-009-5166-y fatcat:fyvpz7v5j5esddcqm2bzwsj6iq