In the literature of e-Commerce website development, qualities of usability and usefulness have received the main attention of researchers. However, with the rapid growth of e-Commerce, there is a growing concern to improve e-Commerce interface by engineering the affective appeal in the website design. Kansei Engineering is a translating technology of a consumer’s feeling and image for a produc...

Big Data consists of voluminous, high-velocity and high-variety datasets that are increasingly difficult to process using traditional methods. Data Mining is the process of discovering knowledge by analysing raw datasets. Traditional Data Mining tools, such as Weka and R, have been designed for single-node sequential execution and fail to cope with modern Big Data volumes. In contrast, distribu...

Real estate industry has become a highly competitive business with an enormous amount of unstructured documents and resources. The process of data mining in such a business provides an advantage to the developers by processing those data, predicting future trends and helping them to make favorable knowledge-driven decisions. In this paper, we focus on data mining techniques and its applications...

This paper presents the implementation on a healthcare dataset using data mining tools to find important parameters that reflect the effect of diabetes on kidney of patients. This is done with the use of Kidney Function Tests (KFT). The data mining tools used are Tanagra and Weka with the application of C4.5 Algorithm which is based on decision trees. This paper compares the result given by Wek...

often in modeling the engineering optimization design problems, the value of objective function(s) is not clearly defined in terms of design variables. instead it is obtained by some numerical analysis such as fe structural analysis, fluid mechanic analysis, and thermodynamic analysis, etc. yet, the numerical analyses are considerably time consuming to obtain the final value of objective functi...

industrial design is attempting to answer physical, emotional and functional needs of human by including different fields such as product design, transporting design, interaction design and etc. products have various functions and appearances, due to their users’ specifications. industrial design is attempting to answer physical, emotional and functional needs of human by including different fi...

Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential used in various commercial applications including retail sales, e-commerce, remote sensing, bioinformatics etc. Education is an essential element for the progress of country. Mining in educational environment is called Educational Data Mining. Educational data min...

-We are live in a time there we used a huge amount and useful information and we want to save the time for this reason we use the data mining. Today we are using the electronic devices to store the information they have ability to save the very large amount of information so that to operate the information manually is very difficult and time consuming thus we use the data mining. Data mining de...

The dataset used in this exercise is the heart disease dataset available in heart-c.arff obtained from the UCI repository. This dataset describes risk factors for heart disease. The attribute num represents the (binary) class attribute: class <50 means no disease; class >50_1 indicates increased level of heart disease. The main aim of this exercise is to predict heart disease from the other att...