Data is getting increased day by day. Usage of social networking sites, hospital administration, banking sectors, etc are some of the reasons for the huge volume of data generated. Data mining is a very effective process which helps to examine the data from various dimensions and it helps to make the data, useful information. This paper is about frequent pattern mining which helps to find out the frequent occurrence of data in a data set. Nowadays the data sets are not static and as a result, dynamic data sets are used to do the frequent pattern mining. Here, an approach of Modified Apriori algorithm is proposed. Different scenarios have been taken to consideration for mining frequent patterns.