Automatic Classification Algorithm for Multisearch Data Association Rules in Wireless Networks

• Published in: Wireless communications and mobile computing Vol. 2021; no. 1
• Main Authors: Li, Cailing, Li, Wenjun
• Format: Journal Article
• Language: English
• Published: Oxford Hindawi 2021; John Wiley & Sons, Inc
• Subjects: Algorithms; Automatic classification; Classification; Data mining; Data processing; Datasets; Design; Feasibility studies; Knowledge; Network management systems; Text categorization; Wireless networks; China
• ISSN: 1530-8669; 1530-8677; 1530-8677
• DOI: 10.1155/2021/5591387

In order to realize efficient data processing in wireless network, this paper designs an automatic classification algorithm of multisearch data association rules in a wireless network. According to the algorithm, starting from the mining of multisearch data association rules, from the discretization of continuous attributes of multisearch data, generation of fuzzy classification rules, and the design of association rule classifier and other aspects, automatic classification is completed by using the mining results. Experimental results show that this algorithm has the advantages of small classification error, good real-time performance, high coverage rate, and high feasibility.