文章基本信息

标题：Achieving Highest Privacy Preservation in Data Mining Using Data Modification Technique
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作者：Naushaba Aafreen Khan ; Sonia Bajaj
期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：3
页码：1230-1234
DOI：10.35629/5252-030310831091
语种：English
出版社：IJAEM JOURNAL
摘要：Data mining procedure extracts the useful patterns and meaningful knowledge from huge amount of databases. DM has a large deal of concentration in the IT trade in modern years, outstanding to the accessibility of very huge amount of data in addition to need for transforming such data into helpful information. This helpful information can be use in a variety of application areas like FD (fraud detection), MA (market analysis), PC (production control) and SE (science exploration). While we transfer this data from one position to another we have need of privacy preserving techniques since different types of unauthorized persons such as hackers or attackers can release our private data as publically. This work provides very high privacy via hybrid technique. Transformation technique used to change the position, size, shape and direction of the specified data objects. Apply k means clustering technique for data analysis. For investigational purpose we make use of a dataset (customer dataset) and perform all operations in data mining tool. This effort gives the maximum privacy as compared to the earlier work.
关键词：Data mining;Weka data mining tool;Privacy;k means Clustering;clustering