Abstract
Exploring the inherent technical challenges in realizing the potential of Big Data.
- Computing Community Consortium. Advancing Discovery in Science and Engineering. Spring 2011.Google Scholar
- Computing Community Consortium. Advancing Personalized Education. Spring 2011.Google Scholar
- Computing Community Consortium. Smart Health and Wellbeing. Spring 2011.Google Scholar
- Computing Community Consortium. A Sustainable Future. Summer 2011.Google Scholar
- Computer Research Association. Challenges and Opportunities with Big Data. Community white paper available at http://cra.org/ccc/docs/init/bigdatawhitepaper.pdfGoogle Scholar
- Dobbie, W. and Fryer, Jr. R.G. Getting Beneath the Veil of Effective Schools: Evidence from New York City. NBER Working Paper No. 17632. Issued Dec. 2011.Google Scholar
- Economist. Drowning in numbers: Digital data will flood the planet---and help us understand it better. (Nov 18, 2011); http://www.economist.com/blogs/dailychart/2011/11/big-data-0Google Scholar
- Flood, M., Jagadish, H.V., Kyle, A., Olken, F. and Raschid, L. Using data for systemic financial risk management. In Proc. 5th Biennial Conf. Innovative Data Systems Research (Jan. 2011).Google Scholar
- Forbes. Data-driven: Improving business and society through data. (Feb. 10, 2012); http://www.forbes.com/special-report/data-driven.htmlGoogle Scholar
- Gartner Group. Pattern-Based Strategy: Getting Value from Big Data. (July 2011 press release); http://www.gartner.com/it/page.jsp?id=1731916Google Scholar
- González, M.C., Hidalgo, C.A. and Barabási, A-L. Understanding individual human mobility patterns. Nature 453, (June 5, 2008), 779--782.Google ScholarCross Ref
- Hey, T., Tansley, S. and Tolle, K., eds. The Fourth Paradigm: Data-Intensive Scientific Discovery. Microsoft Research, 2009.Google Scholar
- Kahn, S.D. On the future of genomic data. Science 331, 6018 (Feb. 11, 2011), 728--729.Google ScholarCross Ref
- Lazar, D. et al. Computational social science. Science 323, 5915 (Feb. 6, 2009), 721--723.Google Scholar
- Lohr, A. The age of Big Data. New York Times (Feb. 11, 2012); http://www.nytimes.com/2012/02/12/sunday-review/big-datas-impact-in-the-world.htmlGoogle Scholar
- Lohr, S. How Big Data became so big. New York Times (Aug. 11, 2012); http://www.nytimes.com/2012/08/12/business/how-big-data-became-so-big-unboxed.htmlGoogle Scholar
- Manyika, J. et al. Big Data: The next frontier for innovation, competition, and productivity. McKinsey Global Institute. May 2011.Google Scholar
- National Science and Technology Council. Materials Genome Initiative for Global Competitiveness. June 2011.Google Scholar
- Noguchi, Y. Following the Breadcrumbs to Big Data Gold. National Public Radio (Nov. 29, 2011); http://www.npr.org/2011/11/29/142521910/the-digital-breadcrumbs-that-lead-to-big-dataGoogle Scholar
- Noguchi, Y. The Search for Analysts to Make Sense of Big Data. National Public Radio, (Nov. 30, 2011); http://www.npr.org/2011/11/30/142893065/the-search-for-analysts-to-make-sense-of-big-dataGoogle Scholar
- Pariser, E. The Filter Bubble: What the Internet Is Hiding From You. Penguin Press, May 2011. Google ScholarDigital Library
- PCAST Report. Designing a Digital Future: Federally Funded Research and Development in Networking and Information Technology (Dec. 2010); http://www.whitehouse.gov/sites/default/files/microsites/ostp/pcast-nitrd-report-2010.pdfGoogle Scholar
- SDSS-III: Massive Spectroscopic Surveys of the Distant Universe, the Milky Way Galaxy, and Extra-Solar Planetary Systems (Jan. 2008); http://www.sdss3.org/collaboration/description.pdf/Google Scholar
Index Terms
- Big data and its technical challenges
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