Association analysis using the mining of positive and negative association rules

Abstract excerpt

<title>Abstract</title> <p>Association analysis using the mining of positive and negative association rules (PNARs) has so far been mainly based on mining rules of forms A⇒B, A⇒ℸB, ℸA⇒B, and ℸA⇒ℸB. These are called narrow PNARs (NPNARs). Most existing algorithms for mining NPNARs usually exploit the upward closure property of negative itemsets, while few exploit the downward closure property. NPNARs mined by algo...

Topics

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• Algorithms
• Cluster Analysis
• Computational Biology
• Data Mining
• Gene Regulatory Networks
• High-Throughput Nucleotide Sequencing
• Pattern Recognition, Automated
• Software

Identifiers and source

Literature Corpus work

54fd69a6-6896-598d-9488-24cac25feea3

DOI

10.21203/rs.3.rs-4138411/v1