Privacy Preserving in Data Mining by Normalization
نویسندگان
چکیده
منابع مشابه
A Study on Normalization Techniques for Privacy Preserving Data Mining
Abstract Data mining is a prevailing technique which extracts the unfamiliar appealing patterns from large data sets. The extracted facts are utilized in various domains like marketing, weather forecasting, and medical diagnosis. It is very vital that the data gets exposed when the organizations start sharing the data for the mining process and privacy may be breached. Privacy is becoming a mor...
متن کاملPrivacy Preserving Data Mining
Through data mining collect large amount of data in many organizations. A key value of huge databases today is technical or financial research. In a huge collection of data there arises a key issue that is privacy. Due to personal interests, medical databases or business interests privacy is needed. Due to privacy infringement while performing the data mining operations this is often not possib...
متن کاملPrivacy Preserving Data Mining
Recent interest in data collection and monitoring using data mining for security and business-related applications has raised privacy. Privacy Preserving Data Mining (PPDM) techniques require data modification to disinfect them from sensitive information or to anonymize them at an uncertainty level. This study uses PPDM with adult dataset to investigate effects of K-anonymization for evaluation...
متن کاملPrivacy Preserving Data Mining
There is a tremendous increase in the research of data mining. Data mining is the process of extraction of data from large database. Knowledge Discovery in database (KDD) is another name of data mining. Privacy protection has become a necessary requirement in many data mining applications due to emerging privacy legislation and regulations. One of the most important topics in research community...
متن کاملPrivacy Preserving Data Mining
The problem of secure distributed classification is an important one. In many situations, data is split between multiple organizations. These organizations may want to utilize all of the data to create more accurate predictive models while revealing neither their training data / databases nor the instances to be classified. The Naive Bayes Classifier is a simple but efficient baseline classifie...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2014
ISSN: 0975-8887
DOI: 10.5120/16797-6509