Privacy Preserving For Classification Techniques

1795 Words Nov 8th, 2016 8 Pages
1) Privacy Preserving for Classification Techniques It is one of the biggest challenges in data mining. It is a predictive modeling task with the specific aim of predicting the value of a single nominal variable based on the known values of other variables. Classification is the task of generalizing known structure to apply to new data. Classification is a data mining function that assigns items in a collection to target categories or classes. The goal of classification is to accurately predict the target class for each case in the data. A classification task begins with a data set in which the class assignments are known. Classifications are discrete and do not imply order. Continuous, floating-point values would indicate a numerical, rather than a categorical, target. A predictive model with a numerical target uses a regression algorithm, not a classification algorithm. The simplest type of classification problem is binary classification. In binary classification, the target attribute has only two possible values: for example, high credit rating or low credit rating. Multiclass targets have more than two values: for example, low, medium, high, or unknown credit rating the model build (training) process, a classification algorithm finds relationships between the values of the predictors and the values of the target. Different classification algorithms use different techniques for finding relationships. These relationships are summarized in a model, which can then be…
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