Design of agricultural ontology based on levy flight distributed optimization and Naïve Bayes classifier
العنوان: | Design of agricultural ontology based on levy flight distributed optimization and Naïve Bayes classifier |
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المؤلفون: | Deepa Rajendran, S Vigneshwari |
المصدر: | Sādhanā. 46 |
بيانات النشر: | Springer Science and Business Media LLC, 2021. |
سنة النشر: | 2021 |
مصطلحات موضوعية: | Naive Bayes classifier, Multidisciplinary, Computer science, Feature (computer vision), Vector space model, Context (language use), Data mining, Ontology (information science), Semantic data model, computer.software_genre, computer, Field (computer science), Curse of dimensionality |
الوصف: | Ontology is the fundamental representation used to link the various concepts of each field. It is widely utilized in the agricultural sector for the classification and expansion of new data and understanding. Besides this, the agriculture ontology enables optimization of feature weights to exact text from the source. However, the conventional methods exploit the vector space model for the indication of context. Nevertheless, it is not an exact solution since it has some shortcomings like undefined dimensionality and insufficiency of semantic data. Hence we propose a novel Naive Bayes Classifier using Levy Flight distributed optimization algorithm-based agricultural ontology to optimize the text mining. The dimensionality of the text tagging can be reduced with the aid of Principal Component Analysis and the dimensionally reduced data can be mapped by a feature mapping method. Further, the Naive Bayes classifier is exploited to estimate the weight of the text features. Furthermore, the Levy Flight distributed optimization algorithm is exploited to optimize the feature weight. Hence our proposed method provides better-optimized feature weight to perform the agricultural ontology. Besides, our proposed method is compared with existing GA-DAM, RENT, GRO, and CCE methods and concluded that our work has a better performance than all other works. |
تدمد: | 0973-7677 0256-2499 |
الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_________::a5776dcccb173cd2c15d4e0c81835c28Test https://doi.org/10.1007/s12046-021-01652-xTest |
حقوق: | CLOSED |
رقم الانضمام: | edsair.doi...........a5776dcccb173cd2c15d4e0c81835c28 |
قاعدة البيانات: | OpenAIRE |
تدمد: | 09737677 02562499 |
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