Sometimes the term **sparse** is used to refer to a matrix that has a large fraction of *missing* entries, but the more typical usage of that term is to refer to a matrix that has a large fraction of *zero* entries. We instead recommend the term **scarce** for a large amount of missing data and discuss various scenarios.

D. M. Dunlavy, T. G. Kolda and E. Acar, *ACM Transactions on Knowledge Discovery from Data*, 2011

T. G. Kolda and M. J. Procopio, Tech. Rep., Sandia National Laboratories, 2009

R. Bro, E. Acar and T. G. Kolda, *Journal of Chemometrics*, 2008

J. M. Conroy, J. R. L. Becker, W. Lefkowitz, K. L. Christopher, R. B. Surana, T. O’Leary, D. P. O’Leary and T. G. Kolda, In *CBMS 2001: Proceedings of the 14th IEEE Symposium on Computer-Based Medical Systems*, 2001

J. M. Conroy, T. G. Kolda, D. P. O’Leary and T. J. O’Leary, *Laboratory Investigation*, 2000

T. G. Kolda and D. P. O’Leary, *ACM Transactions on Mathematical Software*, 2000

T. G. Kolda and D. P. O’Leary, In *The Mathematics of Information Coding, Extraction and Distribution*, 1999

T. G. Kolda and D. P. O’Leary, *ACM Transactions on Information Systems*, 1998

T. G. Kolda, Applied Mathematics Program, University of Maryland, College Park, 1997

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