PMC:2667511 / 15042-15744 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/2667511","sourcedb":"PMC","sourceid":"2667511","source_url":"https://www.ncbi.nlm.nih.gov/pmc/2667511","text":"The generation of association rules was carried out employing the APRIORI algorithm [29]. We used the 10 g Oracle Data Miner (ODM) software which implements the APRIORI algorithm to compute the type of association rules required for our ARBC approach. We set a minimum support and confidence of 3% and 25% respectively to reduce the number of association rules generated. Association mining is not directly applicable to real valued continuous data such as some of the dom-face properties we generated. Hence we used discretisation to manipulate continuous attributes before the ARM process was executed. In this process adjacent values of continuous data were binned into a finite number of intervals.","tracks":[]}