-
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
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
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
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
National Aeronautics and Space Administration —
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases,... -
Federal
Topic Modeling for OLAP on Multidimensional Text Databases: Topic Cube and its Applications
National Aeronautics and Space Administration —
As the amount of textual information grows explosively in various kinds of business systems, it becomes more and more desirable to analyze both structured data... -
Federal
Fuzzy Spatiotemporal Data Mining to Activity Recognition in Smart Homes
National Aeronautics and Space Administration —
A primary goal to design smart homes is to provide automatic assistance for the residents to make them able to live independently at home. Activity recognition is... -
Federal
Local L2 Thresholding Based Data Mining in Peer-to-Peer Systems
National Aeronautics and Space Administration —
In a large network of computers, wireless sensors, or mobile devices, each of the components (hence, peers) has some data about the global status of the system. Many... -
Federal
A Generic Local Algorithm for Mining Data Streams in Large Distributed Systems
National Aeronautics and Space Administration —
In a large network of computers or wireless sensors, each of the components (henceforth, peers) has some data about the global state of the system. Much of the... -
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
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
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
Friedl presentation at CIDU
National Aeronautics and Space Administration —
The land remote sensing community has a long history of using supervised and unsupervised methods to help interpret and analyze remote sensing data sets. Until... -
Federal
Optimal Alarm Systems
National Aeronautics and Space Administration —
An optimal alarm system is simply an optimal level-crossing predictor that can be designed to elicit the fewest false alarms for a fixed detection probability. It... -
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
Data Mining in Systems Health Management
National Aeronautics and Space Administration —
This chapter presents theoretical and practical aspects associated to the implementation of a combined model-based/data-driven approach for failure prognostics based... -
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
Solving a prisoner's dilemma in distributed anomaly detection
National Aeronautics and Space Administration —
Anomaly detection has recently become an important problem in many industrial and financial applications. In several instances, the data to be analyzed for possible... -
Federal
Privacy Preserving Outlier Detection through Random Nonlinear Data Distortion
National Aeronautics and Space Administration —
Consider a scenario in which the data owner has some private/sensitive data and wants a data miner to access it for studying important patterns without revealing the... -
Federal
Data Mining at NASA: From Theory to Applications
National Aeronautics and Space Administration —
NASA has some of the largest and most complex data sources in the world, with data sources ranging from the earth sciences, space sciences, and massive distributed...