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    1 research outputs found

    Fuzzy association rule mining and classification for the prediction of malaria in South Korea

    Author
    1. A Benali
    2. A Buczak
    3. A Buczak
    4. Anna L. Buczak
    5. B Liu
    6. Benjamin Baugher
    7. C Chatfield
    8. C Corley
    9. Climate and Global Dynamics Section
    10. CM Kuok
    11. DMW Powers
    12. EB Wilson
    13. Erhan Guven
    14. GC Cawley
    15. Global Change Master Directory
    16. Global Health Group and the Ministry of Public Health in the Democratic People’s Republic of Korea
    17. H Lodhi
    18. H-I Ree
    19. H-W Gao
    20. IH Witten
    21. J Sachs
    22. Johns Hopkins University Applied Physics Laboratory
    23. JR Quinlan
    24. JR Quinlan
    25. JR Quinlan
    26. K Linthicum
    27. K Zinszer
    28. L Breiman
    29. L Garcia
    30. L Robert
    31. Liane C. Ramac-Thomas
    32. M Fukuda
    33. M Sinka
    34. N Ferreira
    35. O Briet
    36. P Martens
    37. R Agrawal
    38. S-H Cho
    39. S-Y Yim
    40. Sheri H. Lewis
    41. Steven M. Babin
    42. T Abeku
    43. T Nkya
    44. The Global Fund to Fight AIDS Tuberculosis, and Malaria
    45. U Kitron
    46. U Kitron
    47. US Centers for Disease Control and Prevention
    48. US Geological Survey
    49. US National Aeronautics and Space Administration (NASA) Goddard Earth Sciences Data and Information Services Center
    50. US National Oceanic and Atmospheric Administration
    51. V Machault
    52. Yevgeniy Elbert
    Publication venue
    'Springer Science and Business Media LLC'
    Publication date
    Field of study
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    Crossref
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