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Federal
Distributed Anomaly Detection Using Satellite Data From Multiple Modalities
National Aeronautics and Space Administration —
There has been a tremendous increase in the volume of Earth Science data over the last decade from modern satellites, in-situ sensors and different climate models.... -
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
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
DATA MINING THE GALAXY ZOO MERGERS
National Aeronautics and Space Administration —
DATA MINING THE GALAXY ZOO MERGERS STEVEN BAEHR, ARUN VEDACHALAM, KIRK BORNE, AND DANIEL SPONSELLER Abstract. Collisions between pairs of galaxies usually end in the... -
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
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
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
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
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
Ensemble Data Mining Methods
National Aeronautics and Space Administration —
Ensemble Data Mining Methods, also known as Committee Methods or Model Combiners, are machine learning methods that leverage the power of multiple models to achieve... -
Federal
Peer-to-Peer Data Mining, Privacy Issues, and Games
National Aeronautics and Space Administration —
Peer-to-Peer (P2P) networks are gaining increasing popularity in many distributed applications such as file-sharing, network storage, web caching, sear- ching and... -
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
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
Development Threat Index
National Aeronautics and Space Administration —
The Development Threat Index data set is a terrestrial global, future development threat map based on combining these resources: agricultural expansion, urban... -
Federal
VOYAGER 2 JUP LOW ENERGY CHARGED PARTICLE CALIB. 15MIN
National Aeronautics and Space Administration —
THIS DATA SET CONSISTS OF RESAMPLED DATA FROM THE LOW ENERGY CHARGED PARTICLE (LECP) EXPERIMENT ON VOYAGER 2 WHILE THE SPACECRAFT WAS IN THE VICINITY OF JUPITER. THIS... -
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
Activity modeling under uncertainty by trace of objects in smart homes
National Aeronautics and Space Administration —
A typical resident of a smart home can be an Alzheimer patient that forgets sometimes to complete the activities that he begins. The key point to assist the smart...