Mining Association Rules using R Environment
نویسندگان
چکیده
منابع مشابه
Association Rules Mining Using Heavy Itemsets
A well-known problem that limits the practical usage of association rule mining algorithms is the extremely large number of rules generated. Such a large number of rules makes the algorithms inefficient and makes it difficult for the end users to comprehend the discovered rules. We present the concept of a heavy itemset. An itemset A is heavy (for given support and confidence values) if all pos...
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the association rules are generally used to find out the relations between different data entities in given data set. Practically the data set can contain a large number of data entities which forms a large number of rules set but for the understanding of efficient relation it is needed that rules should be kept as minimum as possible without losing the useful information this is a difficult ta...
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Data mining is a field which searches for interesting knowledge or information from existing massive collection of data. In particular, algorithms like Apriori help a researcher to understand the potential knowledge, deep inside the data base. But due to the large time consumed by Apriori to find the frequent item sets and generate rules, several applications cannot use this algorithm. In this ...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2017
ISSN: 0975-8887
DOI: 10.5120/ijca2017912679