In this paper, modified Approach for classifying Multi-dimensional data cube is constructed. It explores data cubes in large Multi-Dimensional Schema. Numerical and Nominal attributes are categorized based on Principal Component Analysis. Semantic relationships are identified by applying Multidimensional scaling. Additionally, AR is integrated for finding the inserting measures. Many algorithms...

background: length of stay is one of the most important indicators in assessing hospital performance. a shorter stay can reduce the costs per discharge and shift care from inpatient to less expensive post-acute settings. it can lead to a greater readmission rate, better resource management, and more efficient services. objective: this study aimed to identify the factors influencing length of ho...

Knowledge discovery and data mining have become a hot research topic of late years. Classification is one of the most important problems in knowledge discovery. So many different classification algorithms have been developed for classifying data. In this paper, we present an effective scheme for classifying data with multi-category based on the technique of genetic programming. The proposed met...

The objective of this research is to help customers in purchasing perfumes, with the aid of the expert system program developed by using artificial neural networks. The expert system’s role is in the preparation to capture the data from the customer’s requirements and predict appropriate perfume. For this end, factors of perfume costumers’ decision were recognized using Fuzzy Delphi method and ...

The quality of the data being analyzed is a critical factor that affects the accuracy of data mining algorithms. There are two important aspects of the data quality, one is relevance and the other is data redundancy. The inclusion of irrelevant and redundant features in the data mining model results in poor predictions and high computational overhead. Feature extraction aims to reduce the compu...

In recent years, due to the expansion of financial institutions,as well as the popularity of the World Wide Weband e-commerce, a significant increase in the volume offinancial transactions observed. In addition to the increasein turnover, a huge increase in the number of fraud by user’sabnormality is resulting in billions of dollars in lossesover the world. T...