A Novel Approach Based on Associative Rule Mining Technique for Multi-label Classification (ARM-MLC)

C. P. Prathibhamol; Kollengode S Ananthakrishnan; Neeraj Nandan; Abhijith Venugopal; N. Ravindran

doi:10.1007/978-981-15-6353-9_18

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A Novel Approach Based on Associative Rule Mining Technique for Multi-label Classification (ARM-MLC)

C. P. Prathibhamol Kollengode S Ananthakrishnan Neeraj Nandan Abhijith Venugopal N. Ravindran

Year: 2020 Advances in intelligent systems and computing Pages: 195-203 Publisher: Springer Nature

DOI: 10.1007/978-981-15-6353-9_18

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Keywords:

Associative property Computer science Multi-label classification Categorization Artificial intelligence Data mining Domain (mathematical analysis) Machine learning Class (philosophy) Pattern recognition (psychology) Mathematics

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Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Data Mining Algorithms and Applications

Physical Sciences → Computer Science → Information Systems

Web Data Mining and Analysis

Physical Sciences → Computer Science → Information Systems

A Novel Approach Based on Associative Rule Mining Technique for Multi-label Classification (ARM-MLC)

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