This paper presents a causation analysis model for traffic accident. Traffic accident is a result
influenced by the interaction of various factors. Considering the characteristic of multi …

针对交通事故数据多维多层的特点, 对交通事故的主要成因与潜在规律进行了研究. 从驾驶员,
车辆, 时间—地点, 环境四个维度出发, 提出了基于层次分析法(AHP) 和混合Apriori Genetic …

Apriori algorithm is often used in traditional association rules mining, searching for the mode
of higher frequency. Then the correlation rules are obtained by detected the correlation of …

Associative rule mining is a technique for discovering common patterns and correlations in
data sets from different databases, including relational, transactional and other types of data …

Association rules are one of the data and web mining techniques which aim to discover the
frequent patterns among itemsets in a transactional database. Frequent patterns and …

Aplicación de técnicas de minería de datos geo-referenciados en los circuitos de
comercialización alternativa de productos agrícolas en ecuador - Dialnet Ayuda ¿En qué …

This paper presents an approach which uses Quine–McCluskey algorithm in order to
discover frequent itemsets to generate association rules. In this approach, the given …