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Ducey, Adam; Guenole, Nigel; Weiner, Sara; Herleman, Hailey; Gibby, Robert; Delaney, Tanya
Languages: English
Types: Article
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • EMC, & IDC. (2014, April). The digital universe of opportunities: Rich data and in the increasing value of the Internet of things. Retrieved from http://www.emc.com/ leadership/digital-universe/2014iview/index.htm
    • Ferrucci, D., & Lally, A. (2004). UIMA: An architectural approach to unstructured information processing in the corporate research environment. Journal of Natural Language Engineering, 10(4), 327-348.
    • Gibby, R. E., McCloy, R. A., & Putka, D. J. (2013, April). Viewing linkage research through the lenses of current practice and cutting-edge advances. Workshop conducted at the 30th Annual Conference of the Society for Industrial Organizational Psychology, Houston, TX.
    • Guzzo, R. A., Fink, A. A., King, E., Tonidandel, S., & Landis, R. S. (2015). Big data recommendations for industrial-organizational psychology. Industrial and Organizational Psychology: Perspectives on Science and Practice, 8(4), 491-508.
    • Herrmann, D. S. (2007). Complete guide to security and privacy metrics: Measuring regulatory compliance, operational resilience, and ROI. Boca Raton, FL: Auerbach.
    • Navarro-Arribas, G., & Torra, V. (2015). Advanced research on data privacy in the ARES Project. In G. Navarrio-Arribas & V. Torra (Eds.), Advanced research in data privacy (pp. 3-14). Cham, Switzerland: Springer International.
    • Oswald, F. L., & Putka, D. J. (2015). Statistical methods for big data. In S. Tonidandel, E. King, & J. Cortina (Eds.), Big data at work: The data science revolution and organizational psychology. New York, NY: Routledge. Retrieved from http://www.researchgate. net/publication/271836790_Statistical_methods_for_big_data_A_scenic_tour Ryan, J., & Herleman, H. A. (in press). A big data platform for workforce analytics. In S. Tonidandel, E. King, & J. Cortina (Eds.), Big data at work: The data science revolution and organizational psychology. New York, NY: Routledge.
    • Westin, A. F. (1967). Privacy and freedom. New York, NY: Atheneum.
    • Zikopoulos, P. C., Eaton, C., deRoos, D., Deutsch, T., & Lapis, G. (2012). Understanding big data: Analytics for enterprise class Hadoop and streaming data. New York, NY: McGrawHill.
    • Correspondence concerning this article should be addressed to Kathryn Dekas, Google, 1600 Amphitheatre Parkway, Mountain View, CA 94043. E-mail: kdekas@ google.com
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