Data Mining is playing a key role in most enterprises, which have to analyse great amounts of data in order to achieve higher profits. Nevertheless, due to the large datasets involved in this process, the data mining field must face some technological challenges. Grid Computing takes advantage of the low-load periods of all the computers connected to a network, making possible resource and data...

There has been an emerging open source data mining software development in current times. In this work I carry out an empirical study to compare the performances of open source and commercial data mining software. The results clearly reveals that before and after data preprocessing of the two NASA datasets used in this work, commercial data mining software (MATLAB) outperforms open source data ...

Nowadays, a great challenge for the teaching work consists in finding the right resources to achieve significant learning in students. However, the fact that every student learns differently from others, leads us to find most appropriate routes to facilitate the learning process, considering that the knowledge of the abilities or multiple intelligences along with being conscious of the inner co...

UNLABELLED Given the growing amount of biological data, data mining methods have become an integral part of bioinformatics research. Unfortunately, standard data mining tools are often not sufficiently equipped for handling raw data such as e.g. amino acid sequences. One popular and freely available framework that contains many well-known data mining algorithms is the Waikato Environment for Kn...

In these days WEKA has become one of the most important data mining and machine learning tools. Despite the fact that it incorporates many algorithms, on the classification area there are still some unimplemented features. In this paper we cover some of the missing features that may be useful to researchers and developers when working with decision tree classifiers. The rest of the paper presen...

In these days WEKA has become one of the most important data mining and machine learning tools. Despite the fact that it incorporates many algorithms, on the classification area there are still some unimplemented features. In this paper we cover some of the missing features that may be useful to researchers and developers when working with decision tree classifiers. The rest of the paper presen...

Dengue is a eviscerate disease common in tropical countries. It is also known as break-bone fever. Dataset for dengue gives information about the patient suffering with the dengue disease. The Dataset consist of attribute like fever, bleeding, metallic taste, Fatigue. The main objective of this study is to calculate the performance of various classification Techniques and compare their performa...

Dengue is a life threatening disease prevalent in several developed as well as developing countries like India. This is a virus born disease caused by breeding of Aedes mosquito. Datasets that are available for dengue describe information about the patients suffering with dengue disease and without dengue disease along with their symptoms like: Fever Temperature, WBC, Platelets, Severe Headache...

The main purpose of this article was to describe the concept of Kansei and its status in ergonomics, to specialists of disciplines such as safety, industrial engineering, and specifically the associates of ergonomic design of products and industrial designers. During last decades the dominate approaches of ergonomics were mainly focused on physical aspects of human body, but along with the deve...

Abstract— The various tasks like classification, clustering and association rule deriving are performed in the data-mining for the pattern extraction. The performance evaluation measures make each task distinct and meaningful. The plenty of machine learning algorithms helps in the different ways. The classification helps to predict about the future well in advance and make necessary actions thu...