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The 2012 Conference on Intelligent Data Understanding is applications-oriented, with a focus on Earth Sciences, Space Sciences, and Aerospace and Engineering Systems Applications. This year the conference focuses on the theme of developing and understanding approaches that integrate physical models and data. Novel developments in computer science, statistics, and the application domains can help discover...
Recent advances in high throughput data acquisition, distributed sensors, and networked information systems offer unprecedented opportunities in collaborative, integrative data analysis (e.g., for discovery of a priori unknown complex relationships, construction of predictive models from data), hypothesis generation, and knowledge creation. However, realizing these opportunities presents several challenges...
Nonlinearity and chaos are ubiquitous and fascinating. Chaotic systems, in particular, are exquisitely sensitive to small perturbations, but their behavior has a fixed and highly characteristic pattern. Understanding this somewhat counterintuitive combination of effects is important to one's ability to model the physical world. I will begin this talk by reviewing of some of the basic ideas of the...
The electronic age has provided enormous opportunities to advance our understanding of the world around us. It has allowed us to work remotely but collaboratively, generate and move terabytes of data at levels never anticipated even two decades ago, bring science to those who never could have imagined having the opportunity to contribute solutions, and it has allowed us to explore the details and...
Earth System models are complex numerical tools designed to study the Earth's climate system. Traditionally, climate models have focused on the physical climate system. More recently, these have transitioned to Earth System models, with the incorporation of new simulation capabilities. These enable new science on process interactions and feedbacks through the inclusion of active biogeochemical cycles,...
Massive peta-scale climate model and observation data archives have been integrated by the international climate research community into a global distributed virtual data center in support of the ongoing IPCC Coupled Model Intercomparison Project research programs.
The mystery of how much water resides in the interior of Jupiter is a major issue for understanding the formation of our solar system - as well as giant planets around other stars. The Juno mission aims to determine Jupiter's interior structure via magnetic and gravity sounding. Scanning in six bands of microwaves will ascertain the abundance and distribution of water. Juno's orbit over Jupiter's...
Fifteen years ago, the salient features of the known extrasolar planets could be written down on an index card. At present the catalog of extrasolar planets numbers in the thousands, and the rate of detection is increasing rapidly. Highly diverse planets are being identified through a diverse set of observational techniques; photometric transit detection, Doppler radial velocimetry, gravitational...
Recent machine learning techniques are now enabling significant advances in the performance of air transportation decision support systems. This talk will review three vignettes from recent data-driven prototype system development: exploiting radar data and modeling airspace traffic encounters to build a more effective collision avoidance system, extracting information from surface surveillance data...
Predicting the distributions of species is central to a variety of applications in ecology and conservation biology. With increasing interest in using electronic occurrence records, many modeling techniques have been developed to utilize this data and compute the potential distribution of species as a proxy for actual observations. As the actual observations are typically overwhelmed by non-occurrences,...
This paper describes an application of data mining technology called Distributed Fleet Monitoring (DFM) to Flight Operational Quality Assurance (FOQA) data collected from a fleet of commercial aircraft. DFM transforms the data into a list of abnormaly performing aircraft, abnormal flight-to-flight trends, and individual flight anomalies by fitting a large scale multi-level regression model to the...
Air quality information is increasingly becoming a public health concern, since some of the aerosol particles pose harmful effects to peoples health. One widely available metric of aerosol abundance is the aerosol optical depth (AOD). The AOD is the integrated light extinction coefficient over a vertical atmospheric column of unit cross section, which represents the extent to which the aerosols in...
Orbiting planets reflect light, and from the perspective of a distant observer an illuminated planet undergoes phases resulting in a periodically-varying reflected light flux. While such reflected light is generally expected to be weak with the magnitude of the flux being well below noise level, in some cases reflected light variations are detectable with today's technology in the Kepler dataset....
Precipitation forecasts provide both a crucial service for the general populace and a challenging forecasting problem due to the complex, multi-scale interactions required for precipitation formation. The Center for the Analysis and Prediction of Storms (CAPS) Storm Scale Ensemble Forecast (SSEF) system is a promising method of providing high-resolution forecasts of the intensity and uncertainty in...
Astronomy and astrophysics are witnessing dramatic increases in data volume as detectors, telescopes and computers become ever more powerful. During the last decade, sky surveys across the electromagnetic spectrum have collected hundreds of terabytes of astronomical data for hundreds of millions of sources. Over the next decade, the data volume will enter the petabyte domain, and provide accurate...
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