Classification of toddler nutrition status using data mining with algorithm C4.5 (Case study: Integrated service centers in Ciasihan Village)
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Publisher
AIP Publishing
Link
http://aip.scitation.org/doi/pdf/10.1063/5.0105013
Reference18 articles.
1. Karegowda AG. Rule based Classification for Diabetic Patients using Cascaded K-Means and Decision Tree C4. 5. Int J Comput Appl. 2012;45(12):45–50.
2. Permatasari D, Azizah IN, Hadiat HL. Classification of toddler nutritional status using fuzzy inference system ( FIS ) Classification of Toddler Nutritional Status Using Fuzzy Inference System (FIS). 4th Int Conf Res Implementation, Educ Math Sci (4th ICRIEMS) AIP. 2017;040007(August).
3. Oktavianti E, Yuly AR, Nugrahani F. Implementation of Naïve Bayes Classification Algorithm on Infant and Toddler Nutritional Status. 2019 2nd Int Conf Comput Informatics Eng. 2019;170–4.
4. Sendari S, Widyaningtyas T, Maulidia NA. Classification of Toddler Nutrition Status with Anthropometry Using The K-Nearest Neighbor Method. 6th Int Conf Electr Electron Inf Eng (ICEEIE 2019) Fig. 2019;3–7.
5. Putri RA, Sendari S, Widiyaningtyas T. Classification of Toddler Nutrition Status with Anthropometry Calculation using Naïve Bayes Algorithm. 2018 Int Conf Sustain Inf Eng Technol. 2018;66–70.
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