z-logo
open-access-imgOpen Access
Correction: A Likelihood-Based Approach to Identifying Contaminated Food Products Using Sales Data: Performance and Challenges
Publication year - 2014
Publication title -
plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1003999
Subject(s) - computer science , data science , data mining
The author contributions of the manuscript are incorrect, the correct contributions are: Conceived and designed the experiments: SE KH JK JL. Performed the experiments: KH MF CT SE AH. Analyzed the data: BA CT KH AH AK JL MF. Contributed materials and analysis tools: SE AH KH JK CT JL. Wrote the paper: SE KH JD MF JK JL. Preprocessed/organized raw food sales data: CT MF BA AK. Designed/wrote likelihood algorithm: SE JL. Designed and performed clustering analysis: AH CT. Proposed this use of retail data with public health data: MF JK.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom