Titlebook: Data Science and Intelligent Applications; Proceedings of ICDSI Ketan Kotecha,Vincenzo Piuri,Rajan Patel Conference proceedings 2021 The Ed

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meditation

978-981-15-4473-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

全国性

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Lecture Notes on Data Engineering and Communications Technologieshttp://image.papertrans.cn/d/image/263096.jpg

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A Comparative Study of Classification Techniques in Context of Microblogs Posted During Natural Disrom the microblog tweets. The evaluation metrics that were used are precision, recall and F-score. We have observed that support vector machine (SVM) has the highest accuracy in classification of tweets based on pre-defined retrieval criteria.

Hyaluronic-Acid

Compromise, Negotiation and Group Decisionhistoric prices of the stock to predict the stock recital. For combining the above approaches, we are using the decision tree approach of machine learning for classification and prediction for more accurate prophecy. The proposed algorithm gives above 70% accuracy for the given data.

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Compromise, Negotiation and Group Decisiontem to achieve properties like decentralization, transparency, and immutability. These properties combined with randomness and verifiability lead to this significant lottery design to be unique of its kind.

留恋

Inoperable

Parallelism in Computational Statistics to generate semantic rules. This inductive learning algorithm can automatically select useful join paths and properties to construct rules from an ontology with many concepts. The learned semantic rules are effective for optimization of SPARQL query because they match query patterns and reflect data regularities.

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