This paper describes automatic sunspot recognition and classification from satellite images. Some experimental results on learning sunspot classification using data mining techniques are presented. The classification scheme attempted was the seven-class Modified Zurich scheme. Daily images of the solar disk were taken from the NASA SOHO satellite’s MDI instrument and sunspots extracted using im...

37 Abstract— Educational Data mining is a recent trend where data mining methods are experimented for the improvement of student performance in academics. The work describes the mining of higher education urban and rural students’ related attributes such as improvement, behavior, attitude and relationship. The data were collected from Dr.Ambedkar Government Arts College in terms of the mentione...

Penelitian ini dilatarbelakangi oleh meningkatnya penggunaan WiFi di Indonesia yang menyebabkan peningkatan jumlah pelanggan PT. Telkom Akses. Efek sering keterlambatan proses layanan. bertujuan untuk mengklasifikasikan keadaan pelayanan sebagai normal atau tidak berdasarkan data Telkom. Pada penelitian ini, kami mengimplementasikan mining dengan menggunakan metode k-nearest neighbor. Data digu...

25 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. Abstract— Classification is the process of arranging a number of items into groups in such a manner that the members of the group have one or more characteristics in common. In this research paper, we present a comparative study of five different classification algorithms using WEKA, a data mining tool. This ar...

This paper deals with Kansei evaluation focusing on consumers’ psychological needs and personal taste. To do so, a preparatory study is conducted beforehand to obtain Kansei data of the products to be evaluated, in which products are assessed according to Kansei attributes by means of the semantic differential method and linguistic variables. These Kansei data are then used to generate Kansei p...

ABSTRAC : Medical professionals need a reliable prediction methodology to diagnose hematological data comments. There are large quantities of information about patients and their medical conditions. Generally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information. Data mining software is...

Data mining is the process of extracting knowledge from the huge amount of data. The data can be stored in databases and information repositories. Data mining task can be divided into two models descriptive and predictive model. In the Predictive model, we can predict the values from a different set of sample data, they are classified into three types such as classification, regression and time...

In this paper, based on the analyzing of the selecting and distinguishing characteristics of cognitive thinking, the product design elements are analyzed with the theories of Kansei Engineering, and the corresponding mathematic model for the analysis is developed based on the quantification-I theory to quantitatively discuss the relationship between product form design elements and the psycholo...

The main objective of higher education institutions is to provide quality education to its students. Institutions hope to improve the quality of education by identifying the set of students that needs special focus to clear the exams such that appropriate steps can be taken to improve the overall success ratio of the students. This will result in excellent placements and hereby increasing the q...