Semantic-k-NN algorithm: An enhanced version of traditional k-NN algorithm

作者：

Highlights：

• We propose a Semantic-kNN (Sk-NN) algorithm for ML.

• Sk-NN deploys a process by leveraging on the semantic itemization.

• Sk-NN used to filter the training dataset.

• The proposed method is more efficient, intelligent and better accuracy.

摘要

•We propose a Semantic-kNN (Sk-NN) algorithm for ML.•Sk-NN deploys a process by leveraging on the semantic itemization.•Sk-NN used to filter the training dataset.•The proposed method is more efficient, intelligent and better accuracy.

论文关键词：Semantic itemization,Bigram model,Big data analytics,Semantic-kNN,Machine learning

论文评审过程：Received 2 April 2019, Revised 16 January 2020, Accepted 10 March 2020, Available online 13 March 2020, Version of Record 19 March 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113374