Finding errors in Big Data

Significance

Volumn 12, Issue 3, 2015, Pages 26-29

  Puts, Marco ^a   Daas, Piet ^a   de Waal, Ton ^b  

^a STATISTICS NETHERLANDS   (Netherlands)

^b TILBURG UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84930846421     PISSN: 17409705     EISSN: 17409713     Source Type: Journal    
DOI: 10.1111/j.1740-9713.2015.00826.x     Document Type: Article

References (7)

1. Lansdall-Welfare, T., Lampos, V. and Cristianini, N. (2012) Nowcasting the mood of the nation. Significance, 9 (4), 26-28.
2. Daas, P. J. H. and Puts, M. J. H. (2014) Social Media Sentiment and Consumer Confidence. Statistics Paper Series No. 5, European Central Bank, Frankfurt.
3. Daas, P. and Puts, M. (2014) Big Data as a source of statistical information. The Survey Statistician, 69, 22-31.
4. Tennekes, M., de Jonge, E. and Daas, P. (2013) Visualizing and inspecting large datasets with tableplots. Journal of Data Science, 11, 43-58.
5. Tennekes, M., de Jonge, E. and Daas, P. (2012) Innovative visual tools for data editing. Presented at the United Nations Economic Commission for Europe Work Session on Statistical Data Editing, Oslo. bit.ly/1GMhemJ
6. Daas P. J. H., Puts, M. J., Buelens, B. and van den Hurk, P. A. M. (2013) Big Data and Official Statistics. Journal of Official Statistics 31 (2), 1-15.
7. Fellegi, I. P. and Holt, D. (1976) A systematic approach to automatic edit and imputation. Journal of the American Statistical Association, 71, 17-35.