A Review Paper on MAC Encrypted Frequent Pattern Mining with Uncertain Data

Information technology

There are miscellaneous current working algorithms provides mining in Unstructured/Frequent patterns from existing or precise data based on its importance. Meanwhile now in the era of technology, the need of Uncertain Data Mining is highly increased. There are too many cases in which obtained data are unstructured where shorting is required. For Frequent/Unstructured Data Mining through pattern mining, there are two mainly approaches are providing where one is step-by-step approach and another one is pattern-growth approach. One of the best example of Step-By-Step algorithm is U-Apriori and UF-growth & UFP-growth algorithm are the perfect illustration of Pattern growth approach. While in mining process the data is manipulated differently where security of data in highly needed. There are plenty of chances of data loss in the mining process. There we can provide MAC security to the algorithm that checks the data coming for the mining is form as single MAC address. So we can prevent the collision of different data in Mining process. In the real world the final outputted data is also not as much secured as it is in manipulation process so it is a huge need of security after the Mining where we can encrypt Patterned/Structured data with the help of any encryption key like Ciphertext. In this paper we are carrying out a case study of different existing world algorithm that are working on mining unstructured pattern from Uncertain data to regulate the data obtained from existing world applications with MAC and encryption technologies.

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