San Francisco / Piscataway / Bay / Austin / Washington / D.C. / MATTHEWS ET / Speeding Up Distance / Los Gatos / Exceedance / V. / Histogram / New York / Cambridge / Danvers / Oza / Inlier / /
Company
Neural Networks / MIT Press / Morgan Kaufmann Publishers Inc. / Clearance Center Inc. / The Boeing Company / Netflix Inc. / Aeronautics and Astronautics Inc. / Mission Critical Technologies Inc. / Airbus / Stinger Ghaffarian Technologies Inc. / /
Country
Jordan / United States / /
Currency
USD / /
Event
Product Issues / /
Facility
Next Generation Air Transportation System / American Institute of Aeronautics / University Affiliated Research Center / /
IndustryTerm
data mining methods / knowledge discovery algorithms / data mining algorithms / autopilot systems / finance / search tool / dynamical systems / massive rule-based systems / k-means algorithm / airline / data processing / airline pilots / social networks / state-ofthe-art algorithm / bank angle / computing / detection algorithms / data mining techniques / anomaly detection algorithms / anomaly detection algorithm / air carrier / particular / outlier detection algorithms / tool sequence similarity search / data mining / air transportation system increases / recommender systems / policy makers / air transportation system / nave solution / binary search / https /
MarketIndex
MATTHEWS / /
Organization
U.S. Government / U.S. Securities and Exchange Commission / American Institute of Aeronautics and Astronautics / University Affiliated Research Center / NASA AMES RESEARCH CENTER / MIT / Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms Bryan Matthews / ∗ Santanu Das / † Kanishka Bhaduri / ‡ Kamalika Das / § Rodney Martin / ¶ and Nikunj Oza** NASA Ames Research Center / Copyright Clearance Center / National Aeronautics and Space Administration / IEEE Computer Society / /
Person
John Stutz / Mike Feary / Ashok Srivastava / Fig / Williamson / Bob Lawrence / Rodney Martin / Kanishka Bhaduri / ‡ Kamalika / Bryan Matthews / ∗ Santanu / /
Position
**Computer Scientist / director in vertical speed mode / director status / flight director / *Systems Engineer / appropriate model for predicting user behavior / autopilot and flight director / representative / commercial pilot / flight director / but not both / Computer Engineer / researcher / Scientist / Associate Editor / analyst / Senior Data Scientist / /
Product
Stinger / B737 / Harman On Time Radio / Multivariate Time-Series Search / A330 / Boeing 777 / Airbus A320 / parameter / /
ProgrammingLanguage
K / /
ProvinceOrState
Alabama / New York / California / New Jersey / South Dakota / North Carolina / Massachusetts / /
PublishedMedium
Machine Learning / Journal of Machine Learning Research / /
JOURNAL OF AEROSPACE INFORMATION SYSTEMS Vol. 10, No. 10, October 2013 Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms Bryan Matthews,∗ Santanu Das,† Kanishka Bhaduri,‡ Kamalika D