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...

Data mining became a popular research field these days. The reasons that attracted attention in information technology, the discovery of meaningful information from large collections of data. Data mining is the perception that we are data rich but very much information poor. Large amount of data is available all around but we can hardly able to turn them in to useful information. The comparativ...

The aesthetic aspects of products have become crucial factors in achieving higher consumer satisfaction. This study deals with evaluation of commercial products according to the Kansei, which is an individual subjective impression reflecting the aesthetic appeal of products. To do so, we have proposed a three-phase group nonadditive multiattribute Kansei evaluation model. Particularly, a novel ...

This paper discusses results of the study of emotional values in web design through the methodology of Kansei Engineering. An evaluation of visitor’s kansei towards clothing e-Commerce websites were conducted using pre-selected 35 e-Commerce websites, 40 Kansei Words as descriptors of emotional sensation organized in a 5-point Semantic Differential scale, rated by 120 participants. Factor Analy...

In the educational arena, Data Mining techniques are acquiring a major importance since the appearance of the e-learning environments. These systems log all the activity carried out by students and instructors, and this raw data, adequately processed, may offer useful knowledge about the learning process for instructors. But data mining techniques are out of the reach of most teachers, e.g., fo...

Gait-based classification has gained much interest as a possible authentication method because it incorporate an intrinsic personal signature that is difficult to mimic. The study investigates machine learning techniques to mitigate the natural variations in gait among different subjects. We incorporated several machine learning algorithms into this study using the data mining package called Wa...

This paper work is focused on the comparison of different data mining techniques and their performances by building predictive models of forest stand properties from satellite images. We used the WEKA data mining environment to implement our numeric prediction experiments, applying linear regression, model (regression) trees, and bagging. The best results (with regard to correlation) we obtaine...

The phenomenon “productivity paradox” indicates that investment in information technology is not positively associated with financial performance. However, there have been debates as to whether this phenomenon is actually valid or not. In this study, we explore the different roles of IT for increasing productivity in manufacturing and service industries using the data mining method called Weka ...