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ORCIDCIDU 2012: Boulder, CO, USA
- 2012 Conference on Intelligent Data Understanding, CIDU 2012, Boulder, CO, USA, October 24-26, 2012. IEEE 2012, ISBN 978-1-4673-4625-2
- Nitesh V. Chawla
, Ashok N. Srivastava:
Foreword. - Vasant G. Honavar:
Learning predictive models from large distributed autonomous data sources. 1 - Elizabeth Bradley:
Chaos, computers, and nonlinear dynamics. 2 - Bill Mahoney:
Big Earth - Big data! 3 - Marika Holland:
Investigation of the climate system using Earth System models. 4 - Lawrence Buja, Caspar Ammann:
Big-data enabling usable climate science and services for society at the petascale. 5 - Fran Bagenal:
Juno: Mission to Jupiter's interior - and poles. 6 - Greg P. Laughlin:
Big data from the galactic planetary census. 7 - James K. Kuchar:
Experiences from modeling and exploiting data in air traffic control. 8 - Reid A. Johnson, Nitesh V. Chawla, Jessica J. Hellmann:
Species distribution modeling and prediction: A class imbalance problem. 9-16 - Aude Marzuoli, Christophe Hurter, Eric Feron:
Data visualization techniques for airspace flow modeling. 79-86 - Valliappa Lakshmanan, Madison Miller, Travis M. Smith:
A technique to improve the quality of accumulated fields. 87-95 - James H. Faghmous, Luke Styles, Varun Mithal, Shyam Boriah, Stefan Liess, Vipin Kumar, Frode Vikebø, Michel dos Santos Mesquita:
EddyScan: A physically consistent ocean eddy monitoring application. 96-103 - Xi C. Chen, Anuj Karpatne, Yashu Chamber, Varun Mithal, Michael Lau, Karsten Steinhaeuser, Shyam Boriah, Michael S. Steinbach, Vipin Kumar, Christopher Potter, Steven A. Klooster, Teji Abraham, J. D. Stanley, Juan Carlos Castilla-Rubio:
A new data mining framework for forest fire mapping. 104-111 - Scott Hellman, Amy McGovern, Ming Xue:
Learning ensembles of Continuous Bayesian Networks: An application to rainfall prediction. 112-117 - Vasudha Bhatnagar, Rashmi Dobariyal, Priya Jain, Ashish Mahabal:
Data Understanding using Semi-Supervised Clustering. 118-123 - Vineet Mehta, Feanil Patel, Yan Glina, Matthew C. Schmidt, Benjamin A. Miller, Nadya Travinin Bliss:
Characterization of traffic and structure in the U.S. airport network. 124-129 - Jaya Kawale, Stefan Liess, Vipin Kumar, Upmanu Lall, Auroop R. Ganguly:
Mining time-lagged relationships in spatio-temporal climate data. 130-135 - Mozhdeh Shahbazi, Mahdi Motagh:
Improved Interferometric Synthetic Aperture Radar processing via advanced co-registration and phase correction techniques. 136-141 - Dimitry Gorinevsky, Bryan L. Matthews, Rodney Martin:
Aircraft anomaly detection using performance models trained on fleet data. 17-23 - Nabin K. Malakar, David John Lary, A. Moore, D. Gencaga, Bryan Roscoe, Arif Albayrak, Jennifer Wei:
Estimation and bias correction of aerosol abundance using data-driven machine learning and remote sensing. 24-30 - Kevin H. Knuth, Ben Placek, Zachary Richards:
Detection and characterization of non-transiting extra-solar planets in Kepler Data using reflected light variations. 31-38 - David John Gagne II, Amy McGovern, Ming Xue:
Machine learning enhancement of Storm Scale Ensemble precipitation forecasts. 39-46 - Jacob VanderPlas, Andrew J. Connolly, Zeljko Ivezic, Alexander G. Gray:
Introduction to astroML: Machine learning for astrophysics. 47-54 - Dimitrios Giannakis, Wen-wen Tung, Andrew J. Majda:
Hierarchical structure of the Madden-Julian oscillation in infrared brightness temperature revealed through nonlinear Laplacian spectral analysis. 55-62 - Varun Mithal, Zachary O'Connor, Karsten Steinhaeuser, Shyam Boriah, Vipin Kumar, Christopher Potter, Steven A. Klooster:
Time series change detection using segmentation: A case study for land cover monitoring. 63-70 - Anuj Karpatne, Mace Blank, Michael Lau, Shyam Boriah, Karsten Steinhaeuser, Michael S. Steinbach, Vipin Kumar:
Importance of vegetation type in forest cover estimation. 71-78
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