Frequent Itemsets and Association Rules with a Certain Probability in Data Mining

摘要

Data mining, referred to as knowledge discovery in databases, is the extraction of patterns representing valuable knowledge implicitly stored in large databases or data warehouses, and the regional data mining research is quite limited. We acquired information from our regional data mining is based on the data mining with probability. First, the new algorithm is presented. Second, we calculated the support and the confidence by the numeric parsers. Finally, we propose a region-based location strategy and tested the conclusion.