Pattern Mining Techniques of Data Mining

Frequent patterns are patterns that appear in a data set frequently. This method searches for recurring relationship in a given data set. Several techniques have been proposed to improve the performance of frequent pattern mining algorithms. This paper presents revision of different frequent mining techniques including Apriori based algorithms, association rule based, Cp tree, and FP growth. A brief description of each technique has been provided. In the earlier, different frequent pattern mining techniques are compared based on various parameters of importance. We have studied different techniques for frequent pattern mining proposed by different researchers and scientists. Each technique has its own merits and demerits. Performance of particular technique depends on input data and available resources. These techniques are found in many applications such as market basket approach, including applications in marketing and e-commerce, classification, clustering, web mining, bio-informatics and finance.