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| Analysis of Rice Blast Outbreaks in Korea through Text Mining |
| Sungmin Song, Hyunjung Chung, Kwang-Hyung Kim, Ki-Tae Kim |
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Res. Plant Dis. 2022;28(3):113-121. Published online September 30, 2022 DOI: https://doi.org/10.5423/RPD.2022.28.3.113 |
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Analysis of Rice Blast Outbreaks in Korea through Text Mining Research in Plant Disease. 2022;28(3):113-121  Identification of novel rice blast resistance alleles through sequence-based allele mining . 2019; Novel Hybrid ARIMA-BiLSTM Model for Forecasting of Rice Blast Disease Outbreaks for Sustainable Rice Production . 2022; Analysis of avian research trends related to rice fields in South Korea using text mining Journal of Asia-Pacific Biodiversity. 2023; Text Mining Methodology Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications. 2012;73-89 Prediction in Text Mining Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications. 2012;893-919 News analysis through text mining: a case study VINE. 2007;37(4):516-531 The History of Text Mining Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications. 2012;3-27 Studies on forecasting outbreaks of blast disease of rice Proceedings / Indian Academy of Sciences. 1965;62(3):117-129 Singular Value Decomposition in Text Mining Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications. 2012;935-947 |
