A Process for Predicting Manhole Events in Manhattan

A Process for Predicting Manhole Events in Manhattan

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-process...

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Bibliographic Details
Main Authors: Isaac, Delfina F., Ierome, Steve, Dutta, Haimonti, Radeva, Axinia, Passonneau, Rebecca J., Rudin, Cynthia
Other Authors: Sloan School of Management
Format: Article
Language:en_US
Published: Springer Netherlands 2010
Subjects:
Manhole events
Applications of machine learning
Ranking
Knowledge discovery
Online Access:http://hdl.handle.net/1721.1/57432

Internet

http://hdl.handle.net/1721.1/57432

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