AI has fundamentally altered the feasibility of natural product discovery from fungal endophytes. Advances in genome sequencing, metabolomics, and systems biology have generated vast datasets, but ...

Abstract: Frequent Pattern Mining (FPM) is a basic data mining method to find recurring patterns in data that is used in a large number of applications in areas of market basket analysis, recommender ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Advances in the molecular understanding of disease have already had widespread practical applications. Pre-genomic molecular biology produced diagnostics such as prostate specific antigen screening ...

Abstract: Discovering all Frequent High Average-Utility Occupancy Itemsets (FHAUOIs) in quantitative transaction databases has emerged as a promising direction in pattern mining. By integrating both ...