Journal of Intelligent Information Systems, Springer US, 1 avril 2013, Volume : 40, Numéro : 2
Many real-world applications require the simultaneous prediction of multiple target attributes. The techniques currently available for these problems either...
Machine learning-based predictive modeling is to develop machine learning-based or data-driven models to predict failures before they occur and estimate the...
Proceedings of the Annual Conference of the Prognostics and Health Management Society - PHM 2011, 29 septembre 2011
Trouble Shooting Manuals (TSMs) provide useful information and guidelines for machinery maintenance, in particular, for fault isolation given a failure mode....
The Proceedings of the 2007 International Conference onMachine Learning and Applications (ICMLA '07), 2007
Unexpected failures of complex equipment such as trains or aircraft introduce superfluous costs, disrupt operation, have an effect on consumer's satisfaction,...
Data-driven prognostic for system health management represents an emerging and challenging application of data mining. The objective is to develop data-driven...
Energy consumption prediction for building energy management systems (BEMS) is one of the key factors in the success of energy saving measures in modern...
Proceedings of the First International Conference on Sensor Networks and Applications Experimentation and Logistics (SENSAPPEAL 2009), 25 septembre 2009
Proceedings of the 9th World Multi-Conference on Systemics, 2005
In many practical applications, data mining results must be quickly delivered. To achieve the required efficiency, without sacrificing the quality of the...
Proceedings of the 11th ACM SIGKDD International Conference onKnowledge Discovery and Data Mining (KDD 2005) [Proceedings], 2005
This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of...