Similarity search on Southeast Asian food ingredients using association rule mining
Author:
Publisher
AIP Publishing
Link
http://aip.scitation.org/doi/pdf/10.1063/5.0128331
Reference12 articles.
1. Shaufiah and B. Siswanto 2016 Association rule mining for identifying Dengue Hemorrhagic Fever (DHF) and Typhoid Fever (TF) disease with IST-EFP algorithm International Conference on Information and Communication Technology (ICoICT) Bandung
2. J. Heaton 2016 Comparing dataset characteristics that favor the Apriori, Eclat or FP-Growth frequent itemset mining algorithms SoutheastCon 2016 IEEE
3. C. Kosla 2016 YouTube Data Analysis Using Hadoop California State University
4. M. Bolanos, A. Ferra and P. Radeva 2017 Food Ingredients Recognition Through Multi-label Learning International Conference on Image Analysis and Processing Catania
5. B. Siswanto and P. Thariqa 2018 Association Rules Mining for Identifying Popular Ingredients on YouTube Cooking Recipes Videos 2018 Indonesian Association for Pattern Recognition International Conference (INAPR) Jakarta, Indonesia pp. 95–98
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