A novel FCTF evaluation and prediction model for food efficacy based on association rule mining. [PDF]
Liu Y +9 more
europepmc +1 more source
Ontology-driven association rule mining for biomedical entity relationships: integrating hierarchical knowledge to improve gene-disease discovery. [PDF]
Naqash MA +7 more
europepmc +1 more source
Resilience and social change: Findings from research trends using association rule mining. [PDF]
Kim C, Yeom J, Jeong S, Chung JB.
europepmc +1 more source
Analysis of sleep patterns among clinical nurses: a latent profile and association rule mining approach. [PDF]
Wei N, Hu L, Li J, Chu J.
europepmc +1 more source
Association rule mining of occupational participation among the South Korean elderly by gender. [PDF]
Kwon HI, Choi SY, Jeon BJ, Jang JS.
europepmc +1 more source
Analyzing multidrug resistance patterns across the food supply chain using association rule mining. [PDF]
Glass JC +5 more
europepmc +1 more source
Unraveling the link between PTBP1 and severe asthma through machine learning and association rule mining method. [PDF]
Pirmoradi S +9 more
europepmc +1 more source
An integrated analysis method for critical human factors and paths in hazardous chemical storage accidents based on association rule mining and bayesian networks. [PDF]
Ma S, Jiang W.
europepmc +1 more source
Uncovering key molecular mechanisms in the early and late-stage of papillary thyroid carcinoma using association rule mining algorithm. [PDF]
Hosseiniyan Khatibi SM +7 more
europepmc +1 more source
In this paper, we address the problem of generating relevant rare association rules. In the literature, this problem has not yet been studied in detail, although rare association rules can also contain important information just as frequent association rules do. Our work is motivated by the long-standing open question of devising an efficient algorithm
Szathmary, Laszlo +2 more
openaire +1 more source

