Data Science Challenges in Real Estate Asset and Capital Markets-Reference-Cited by-同舟云学术

Data Science Challenges in Real Estate Asset and Capital Markets

Published:2014 Issue: Volume: Page:
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Container-title:Proceedings of the International Workshop on Data Science for Macro-Modeling - DSMM'14
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Author:

Burdick Douglas,Franklin Michael,Issler Paulo,Krishnamurthy Rajasekar,Popa Lucian,Raschid Louiqa,Stanton Richard,Wallace Nancy

Publisher

ACM Press

Reference4 articles.

1. A. Amirdjanova, R. Stanton, and N. Wallace. The myth of the constant-quality home: A new, unbiased house price index. Technical Report, Haas School of Business, University of California Berkeley, 2014.

2. D. Burdick, M. Hernandez, H. Ho, G. Koutrika, R. Krishnamurthy, L. Popa, I. Stanoi, S. Vaithyanathan, and S. Das. Extracting, linking and integrating data from public sources: A financial case study. IEEE Data Engineering Bulletin, 34(3):60--67, 2012.

3. J. Hunt, R. Stanton, and N. Wallace. U.s. residential-mortgage transfer systems: A data-management crisis. In Handbook of Financial Data and Risk Information, Part IV. Oxford University Press, 2014.

4. L. Raschid, J. Langsam, H. Jagadish, M. Wellman, L. Haas, R. Krishnamurthy, S. Vaithyanathan, M. Franklin, and N. Wallace. Community cyberinfrastructure for financial data science. Technical Report, University of Maryland, 2013.

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