An Application of Data Mining Algorithms for Analyzing Psychological Researches

Abstract

Computer science has evolved to become the basis for evolution and entered into all areas of life where the use of computer has been developed in all scientific, military, commercial and health institutions. In addition, it has been applied in residential and industrial projects due to the high capacity and ability to achieve goals in a shorter time and less effort. In this research, the computer, its branches, and algorithms will be invested in the psychological field. In general, in psychological fields, a questionnaire model is created according to the requirements of the research topic. The model contains many questions that are answered by the individuals of the sample space chosen by the researcher. Often, these questions are long and tedious, and some questions are repeated and not useful. In this research, we will work on summarizing these forms without effecting their research results; eventually, these steps in the proposed approach will produce better forms. However, it leads to building a method using the Apriori algorithm and Association rule mining which, consequently, applies to each questionnaire from which unnecessary questions are to be removed.

Application of Data Mining and Imputation Algorithms for Missing Value Handling: A Study Case Car Evaluation Dataset

“…Collecting data on car purchases regarding these factors is needed to evaluate cars based on consumer interests, which results in a car evaluation dataset. Data mining algorithms have the ability to analyze data in various research fields [3] [4] [5] [6], and classification is one of the main roles in data mining that can be applied to car evaluation datasets to create predictive models based on consumer interest. Several studies have been carried out on car evaluation to make prediction models by applying classification algorithms [7] [8] [9].…”