نتایج جستجو برای: kansei engineering data mining weka ceramic

تعداد نتایج: 2674297  

2006
Vania Bogorny Andrey Tietbohl Palma Paulo Martins Engel Luis Otavio Alvares

Geographic data preprocessing is the most effort and time consuming step in spatial data mining. In order to facilitate geographic data preprocessing and increase the practice of spatial data mining, this paper presents Weka-GDPM, an interoperable module that supports automatic geographic data preprocessing for spatial data mining. GDPM is implemented into Weka, which is a free and open source ...

2015
Reena Thakur A. R. Mahajan Ritu Chauhan Harleen Kaur M. Afshar Alam

In today's world, an organization generates more information in a week than most people can read in a lifetime. It is humanly impossible to study, decipher, and interpret all that data to find useful information. By applying data mining techniques people can work on the extraction of hidden, historical and previously unknown large databases. In this paper we have used powerful data mining ...

Journal: :CoRR 2013
Sudhir B. Jagtap Kodge B. G

Data mining (also known as knowledge discovery from databases) is the process of extraction of hidden, previously unknown and potentially useful information from databases. The outcome of the extracted data can be analyzed for the future planning and development perspectives. In this paper, we have made an attempt to demonstrate how one can extract the local (district) level census, socio-econo...

Journal: :IJCAT 2009
Sayaka Akioka Hideo Fukumori Yoichi Muraoka

Following the rapid promotion of e-commerce, an unprecedented number of products are now merchandised via online stores. Behind the prosperity of e-commerce, however, consumers are now grabbling for what they purchase, drowning in a slew of offerings. In order to assist customers on decision-making, this paper introduces the information filter with the concept of ‘kansei engineering’. This filt...

2003
Shigekazu Ishihara Keiko Ishihara Yukihiro Matsubara

Kansei engineering is a technology for translating human feelings into product design. Several multivariate analyses are used for analyzing human feelings and building rules. Although these methods are reliable, they require large computing resources. It is difficult for general users to deal with many variables because of small personal computers, and the need for the user to be an expert on s...

2017
Md. Alamgir

The quality of education of a university depends on its teacher’s major strength and their performance. In a country there have several kinds of universities but their standards of educational qualities are not same. A university will be developed and well known around the world by its educational quality which is completely depend on the quality of an instructor’s teaching proficiency and his ...

Journal: :Journal of Japan Society of Kansei Engineering 2004

2013
Satish Kumar David

The availability of huge amounts of data resulted in great need of data mining technique in order to generate useful knowledge. In the present study we provide detailed information about data mining techniques with more focus on classification techniques as one important supervised learning technique. We also discuss WEKA software as a tool of choice to perform classification analysis for diffe...

Journal: :Quality and Reliability Eng. Int. 2012
Lluís Marco-Almagro Xavier Tort-Martorell

Kansei Engineering (KE) is a technique used to incorporate emotions in the product design process. Its basic purpose is discovering in which way some properties of a product convey certain emotions in its users. It is a quantitative method, and data is typically collected using questionnaires. Japanese researcher Mitsuo Nagamachi is the founder of Kansei Engineering. Products where KE has been ...

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