Transaction Reduction Approach to Improve Efficiency of Apriori Algorithm
نویسنده
چکیده
Association rule mining has a great importance in data mining. Apriori is the key algorithm in association rule mining. Many approaches are proposed in past to improve Apriori but the core concept of the algorithm is same i.e. support and confidence of itemsets and previous studies finds that classical Apriori is inefficient due to many scans on database. In this paper, we are proposing an algorithm to cut down the unnecessary transactions and redundant generation of items during pruning which helps to reduce the scanning time.
منابع مشابه
A Prefixed-Itemset-Based Improvement For Apriori Algorithm
Association rules is a very important part of data mining. It is used to find the interesting patterns from transaction databases. Apriori algorithm is one of the most classical algorithms of association rules, but it has the bottleneck in efficiency. In this article, we proposed a prefixed-itemset-based data structure for candidate itemset generation, with the help of the structure we managed ...
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