期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：5
页码：9451
DOI：10.15680/IJIRCCE.2017.0505035
出版社：S&S Publications
摘要：Data mining is the method of extraction of hidden and useful information from huge data. It is aknowledge domain subfield of computer science and the computational process of discovering patterns in massive datasets. Classification is one of the ordinarily used tasks in data mining applications. It is used to predict membership fordata instances. For the past decade, due to the increase of various privacy problems, many theoretical and practicalsolutions to the classification drawback have been proposed under completely different security models. However, withthe recent popularity of cloud computing, users currently have the opportunity to outsource their data, in encryptedform, as well as the data mining tasks to the cloud. In existing the k-Nearest Neighbor (k-NN) classifier is used toencrypted data or information within the cloud. The k-NN classifier had less efficient when compared to the fuzzy logicclassifier. The protocols are used in the existing k-NN classifier has less efficiency. The proposed fuzzy logic classifierprotects the high confidentiality of information, privacy of users input query, and hides the data access patterns.And itsecure encrypted data in the cloud. This paper reviews the cost and efficiency of the fuzzy logic classifier with k-NNclassifier.
