In this paper, we demonstrate that regression trees, a popular data-mining technique, can be used to effectively reveal individuals' sensitive data. This problem, which we call a "regression attack," has been o
Regression is a data mining technique that predicts numeric values along a continuum. Profit, sales, mortgage rates, house values, square footage, temperature, or distance can be predicted using Regression techniques. For example, a Regression model can be used to predict the value of a house ba...
. The nature of some measurement data sets is such that this criterion cannot be satisfied, and any attempt to apply regression techniques is doomed to failure. In that event, the only valid course of action is to express the measurements intabular form. This can then be used as anx−y...
Objective: The essence of this paper is to provide a basic model which relates potential voters in USA elections with periods of registration. Method: SPSS (Statistical Package for Social Sciences) is the choosen software and it was used to perform the analysis with Data Mining techniques, the...
In addition, data scientists who actively use AutoML encourage more widespread application of automated techniques in ML2. The growing adaptation also widens the scope of related fields for AutoML. In this respect, explainable artificial intelligence (XAI) is of rising interest to help users to ...
definitely a valuable reference for modern applications of commonly used regression techniques. Data analysis, particularly users of S-PLUS, with experience in the application of these tools will benefit the most from this book." SHORT BOOK REVIEWS "This is a book that leaves one breathless. It ...
2018a) ever since the work of Jacquemoud (1993), in which it was concluded that a numerical solution to the inverse problem of the model was possible and thus promoted a new way of estimating vegetation traits from spectral data. Many such techniques are focusing on the inversion of lookup...
Additionally, the term data mining is all-encompassing, referring to dozens of techniques and procedures used to examine and transform data. Therefore, this series of articles will only scratch the surface of what is possible with data mining. Experts likely will have doctorates in statistics and...
A recent systematic review28 did not find an incremental value of flexible ML techniques over traditional statistical methods in relatively small data sets (median sample size: 1250); moreover, calibration was not addressed in 79% of ML studies. Calibration evaluation is a critical step before ...
Once this knowledge is available it can be utilized for the provision of new data to be analyzed by data mining techniques: the scope of mining data to be sampled can be limited to those data records comprising the most relevant independent variables only. This leads to cost reduction when ...