Optimization of Associative Knowledge Graph using TF-IDF based Ranking Score

Optimization of Associative Knowledge Graph using TF-IDF based Ranking Score

This study proposes the optimization method of the associative knowledge graph using TF-IDF based ranking scores. The proposed method calculates TF-IDF weights in all documents and generates term ranking. Based on the terms with high scores from TF-IDF based ranking, optimized transactions are gener...

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Bibliographic Details
Main Authors:	Hyun-Jin Kim, Ji-Won Baek, Kyungyong Chung
Format:	Article
Language:	English
Published:	MDPI AG 2020-07-01
Series:	Applied Sciences
Subjects:	TF-IDF association rule apriori FP-tree associative knowledge graph
Online Access:	https://www.mdpi.com/2076-3417/10/13/4590

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