Loading...
Please wait, while we are loading the content...
Similar Documents
Doi 10.1007/s10994-009-5166-y a process for predicting manhole events in manhattan (2010).
| Content Provider | CiteSeerX |
|---|---|
| Author | Rudin, Cynthia Passonneau, Rebecca J. Radeva, Axinia Dutta, Haimonti Ierome, Steve Isaac, Delfina Rudin, C. Passonneau, R. J. Radeva, A. Dutta, H. Ierome, S. Isaac, D. |
| Abstract | Abstract 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 is to rank the electrical grid structures in Manhattan (manholes and service boxes) according to their vulnerability to serious manhole |
| File Format | |
| Publisher Date | 2010-01-01 |
| Access Restriction | Open |
| Content Type | Text |
