Diagnosis of coronary artery disease using an efficient hash table based closed frequent itemsets mining.
This paper proposes an efficient hash table based closed frequent itemsets (HCFI) mining algorithm to envisage coronary artery disease early. HCFI algorithm generates closed frequent itemsets efficiently by performing intersection operation on transaction id's of itemset without considering the name...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 56; no. 5; pp. 749 - 760 |
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| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
May2018
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| Acceso en línea: | Ver este registro en EBSCOhost |