© Kansei Imaging: first steps Boris Oicherman, Carl Staelin HP Laboratories HPL-2009-12 affective imaging, color emotion, image emotion, image enhancement, image processing, image manipulation Kansei engineering (also called affective engineering) studies and develops methods of translating and embedding perceptual and emotional qualities into the product design features. We adopt this principl...

Decision tree models are commonly used in educational data mining to examine the data and induce a tree that will be used to make predictions about educational data. This study enables to obtain the decision tree models that predict the academic performance of the engineering students in contact education system. Genetic algorithm is a powerful search and optimization technique that has shown p...

Data mining is a difficult task that relies on an exploratory and analytic process of large quantities of data in order to discover meaningful patterns and rules. It requires complex methodologies, and the increasing heterogeneity and complexity of available data requires some skills to build the data mining processes, or knowledge flows. The goal of this work is to describe data-mining process...

Breast cancer has become the primary reason of death in women in developed countries. Breast cancer is the second most common cause of cancer death in women worldwide. The high incidence of breast cancer in women has increased significantly during the last few decades. In this paper we have discussed various data mining approaches that have been utilized for early detection of breast cancer. Br...

KANSEI is a Japanese term which means psychological feeling or image of a product. KANSEI engineering refers to the translation of consumers' psychological feeling about a product into perceptual design elements. Recently several researches have been done for image indexing or image retrieval based on KANSEI factors. In this paper, we propose a new technique for clothing fabric image retrieval ...

The main objective of this work is to find the factors preventing the employment of educated women's. The purpose of this work is to investigate the obstacles that stand in the way of increasing women’s employment. [8] The Questionnaire was designed to predict the factors preventing the employment among the educated women’s. Family based reasons preventing women’s employment and working environ...

FP-Growth is a classical data mining algorithm; most of its current implementations are based on programming language's primitive data types for their data structures; this leads to poor readability & reusability of the codes. Weka is an open source platform for data mining, but lacks of the ability in dealing with tree-structured data; JUNG is a network/graph computation framework. Starting fr...

This paper presents data mining techniques that can be used to study voting patterns in the United States House of Representatives and shows how the results can be interpreted. We processed the raw data available at http://clerk.house.gov, performed t-weight calculations, an attribute relevance study, association rule mining, and decision tree analysis and present and interpret interesting resu...

abstract: the aim of this research is to propose a new approach of kansei engineering, kano model and taguchi design of experiments to identify, categorize and prioritize customersʹ emotional needs (kansei) in the automotive industry in order to more customer satisfaction. to achieve the above aim, first customersʹ kansei words identified and screened; then these words classified based on kano ...

The main current evolutions in industrial design research are the following : 1 The computerization of the early design phases 2 Consumer and user centered design with in particular emotional design 3 The concurrent engineering, with collaborative work supporting tools Our goal is to modelize the preliminary phases of traditional industrial design process, in order to build new computer aided d...