Anomaly detection via a Gaussian Mixture Model for flight operation and safety monitoring

[1]  John W. Tukey,et al.  Exploratory Data Analysis. , 1979 .

[2]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[3]  G. Schwarz.  Estimating the Dimension of a Model , 1978 .

[4]  G. Box,et al.  Bayesian analysis of some outlier problems in time series , 1979 .

[5]  D. N. Geary.  Mixture Models: Inference and Applications to Clustering , 1989 .

[6]  Anil K. Jain,et al.  Data clustering: a review , 1999, CSUR.

[7]  David L. Iverson.  Inductive System Health Monitoring , 2004, IC-AI.

[8]  Victoria J. Hodge,et al.  A Survey of Outlier Detection Methodologies , 2004, Artificial Intelligence Review.

[9]  Ashok N. Sriastava.  Discovering System Health Anomalies Using Data Mining Techniques , 2005 .

[10]  B.G. Amidan,et al.  Atypical event and typical pattern detection within complex systems , 2005, 2005 IEEE Aerospace Conference.

[11]  R. Akella,et al.  Discovering Atypical Flights in Sequences of Discrete Flight Parameters , 2006, 2006 IEEE Aerospace Conference.

[12]  Varun Chandola,et al.  Outlier Detection -a Survey Outlier Detection -a Survey , 2007 .

[13]  Chih-Sheng Hsu,et al.  Onboard Measurement and Warning Module for Irregular Vehicle Behavior , 2008, IEEE Transactions on Intelligent Transportation Systems.

[14]  Tomer Toledo,et al.  In-vehicle data recorders for monitoring and feedback on drivers' behavior , 2008 .

[15]  Giorge Marlon Lopes Tsuruta.  The Analysis of Flight Operational Quality Assurance (FOQA) Data: Exploration of a Proposed List of Improved Safety Parameters , 2008 .

[16]  Ashok N. Srivastava,et al.  Anomaly Detection and Diagnosis Algorithms for Discrete Symbol Sequences with Applications to Airline Safety , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[17]  VARUN CHANDOLA,et al.  Anomaly detection: A survey , 2009, CSUR.

[18]  Ashok N. Srivastava,et al.  Multiple kernel learning for heterogeneous anomaly detection: algorithm and aviation safety case study , 2010, KDD.

[19]  Maxime Gariel,et al.  Anomaly detection in onboard-recorded flight data using cluster analysis , 2011, 2011 IEEE/AIAA 30th Digital Avionics Systems Conference.

[20]  Fei-Yue Wang,et al.  Data-Driven Intelligent Transportation Systems: A Survey , 2011, IEEE Transactions on Intelligent Transportation Systems.

[21]  Eric Feron,et al.  Trajectory Clustering and an Application to Airspace Monitoring , 2011, IEEE Trans. Intell. Transp. Syst..

[22]  George C. Prill.  The Members of the International Civil Aviation Organization (ICAO) Council, 1957 Meeting, Montreal, Canada , 2012 .

[23]  R. John Hansman,et al.  Anomaly Detection in Airline Routine Operations Using Flight Data Recorder Data , 2013 .

[24]  Kanishka Bhaduri,et al.  Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms , 2013, J. Aerosp. Inf. Syst..

[25]  Charles A. Bouman,et al.  CLUSTER: An Unsupervised Algorithm for Modeling Gaussian Mixtures , 2014 .

[26]  Buyue Qian,et al.  Improving rail network velocity: A machine learning approach to predictive maintenance , 2014 .

[27]  Rachel Shichrur,et al.  Determining the sampling time frame for in-vehicle data recorder measurement in assessing drivers , 2014 .

[28]  Kanishka Bhaduri,et al.  Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms , 2013, J. Aerosp. Inf. Syst..

[29]  Ashok N. Srivastava,et al.  Analysis of Flight Data Using Clustering Techniques for Detecting Abnormal Operations , 2015, J. Aerosp. Inf. Syst..

[30]  Qi Shi,et al.  Big Data applications in real-time traffic operation and safety monitoring and improvement on urban expressways , 2015 .