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Federal
Fleet Level Anomaly Detection of Aviation Safety Data
National Aeronautics and Space Administration —
For the purposes of this paper, the National Airspace System (NAS) encompasses the operations of all aircraft which are subject to air traffic control procedures. The... -
Federal
Pseudo-Label Generation for Multi-Label Text Classification
National Aeronautics and Space Administration —
With the advent and expansion of social networking, the amount of generated text data has seen a sharp increase. In order to handle such a huge volume of text data,... -
Federal
Anomaly Detection with Text Mining
National Aeronautics and Space Administration —
Many existing complex space systems have a significant amount of historical maintenance and problem data bases that are stored in unstructured text forms. The problem... -
Federal
ASIAS - Some History
National Aeronautics and Space Administration —
The ASIAS effort builds on demonstrations that an open exchange of information contributes to improved aviation safety. ASIAS is a comprehensive effort, covering the... -
Federal
Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms
National Aeronautics and Space Administration —
The worldwide civilian aviation system is one of the most complex dynamical systems created. Most modern commercial aircraft have onboard flight data recorders that... -
Federal
Anomaly Detection in a Fleet of Systems
National Aeronautics and Space Administration —
A fleet is a group of systems (e.g., cars, aircraft) that are designed and manufactured the same way and are intended to be used the same way. For example, a fleet of... -
Federal
Distributed Data Mining in Peer-to-Peer Networks
National Aeronautics and Space Administration —
Peer-to-peer (P2P) networks are gaining popularity in many applications such as file sharing, e-commerce, and social networking, many of which deal with rich,... -
Federal
Privacy Preserving Distributed Data Mining
National Aeronautics and Space Administration —
Distributed data mining from privacy-sensitive multi-party data is likely to play an important role in the next generation of integrated vehicle health monitoring... -
Federal
Learning to Improve Earth Observation Flight Planning
National Aeronautics and Space Administration —
This paper describes a method and system for integrating machine learning with planning and data visualization for the management of mobile sensors for Earth science... -
Federal
General Purpose Data-Driven System Monitoring for Space Operations
National Aeronautics and Space Administration —
Modern space propulsion and exploration system designs are becoming increasingly sophisticated and complex. Determining the health state of these systems using... -
Federal
Inductive Monitoring System (IMS)
National Aeronautics and Space Administration —
IMS: Inductive Monitoring System The Inductive Monitoring System (IMS) is a tool that uses a data mining technique called clustering to extract models of normal... -
Federal
Anomaly Detection for Complex Systems
National Aeronautics and Space Administration —
In performance maintenance in large, complex systems, sensor information from sub-components tends to be readily available, and can be used to make predictions about... -
Federal
ASIAS Symposium Presentations
National Aeronautics and Space Administration —
Aviation Safety Information Analysis and Sharing (ASIAS) Symposiusm Presentations: July 27-28, 2009 -
Federal
Ramakrishnan: Semantics on the Web
National Aeronautics and Space Administration —
It is becoming increasingly clear that the next generation of web search and advertising will rely on a deeper understanding of user intent and task modeling, and a... -
Federal
Trajectory Clustering and an Application to Airspace Monitoring
National Aeronautics and Space Administration —
This paper presents a framework aimed at monitoring the behavior of aircraft in a given airspace. Trajectories that constitute typical operations are determined and... -
Federal
PADMINI: A PEER-TO-PEER DISTRIBUTED ASTRONOMY DATA MINING SYSTEM AND A CASE STUDY
National Aeronautics and Space Administration —
PADMINI: A PEER-TO-PEER DISTRIBUTED ASTRONOMY DATA MINING SYSTEM AND A CASE STUDY TUSHAR MAHULE, KIRK BORNE, SANDIPAN DEY, SUGANDHA ARORA, AND HILLOL KARGUPTA**... -
Federal
A Scalable Local Algorithm for Distributed Multivariate Regression
National Aeronautics and Space Administration —
This paper offers a local distributed algorithm for multivariate regression in large peer-to-peer environments. The algorithm can be used for distributed inferencing,...