Data mining methodology can analyze relevant information results and produce different perspectives to understand more about the students’ activities. When designing an educational environment, applying data mining techniques discovers useful information that can be used in formative evaluation to assist educators establish a pedagogical basis for taking important decisions. Mining in education...

This paper presents three data mining techniques applied on a SCADA system data repository: Näıve Bayes, k-Nearest Neighbor and Decision Trees. A conclusion that k-Nearest Neighbor is a suitable method to classify the large amount of data considered is made finally according to the mining result and its reasonable explanation. The experiments are built on the training data set and evaluated usi...

This work aims to use sentiment analysis techniques, data mining, text mining and natural language processing to indicate the polarity of texts using support vector machine. Weka software and a movie review database from Internet Movie Database IMDb were used. This work uses preprocessing filters and WRAPPER techniques and Support Vector Machine (SVM) for classification. It presents better resu...

Data mining services on grids is the need of today’s era. Workflow environments are widely used in data mining systems to manage data and execution flows associated to complex applications. Weka, one of the most used open-source data mining systems, includes the Knowledge-Flow environment which provides a drag-and-drop inter-face to compose and execute data mining workflows. It allows users to ...

The objective of the study focused on weighted based frequent item set mining. The base paper has proposed multi criteria based frequent item set for weight calculation. Contribution towards this project is to implement the global profit weight measure and test the performance over utility based mining. For this project the data consist of 90 products from automobile shop including unit price, ...

Software cost estimation is the process of predicting the effort required to develop a software system. The basic input for the software cost estimation is coding size and set of cost drivers, the output is Effort in terms of Person-Months (PM’s). Here, the use of support vector regression (SVR) has been proposed for the estimation of software project effort. We have used the COCOMO dataset and...

Anomalies in computer networks has increased in the last decades and raised concern to create techniques to identify the unusual traffic patterns. This research aims to use data mining techniques in order to correctly identify these anomalies. Weka is a collection of machine learning algorithms for data mining tasks which was used to identify and analyze the anomalies of a data set called SPAMB...

To mine users’ perceptual demand for product shape, it is very important to build the relational model between design elements of product shape and users’ Kansei evaluation. We apply Kansei engineering to the shape design of wheeled tractor. The design elements obtained by morphological analysis constitute the input layer, and perceptual semantic evaluation obtained by semantic differential met...

An analysis of occupational accidents in the mining sector was conducted using the data from the Spanish Ministry of Employment and Social Safety between 2005 and 2015, and data-mining techniques were applied. Data was processed with the software Weka. Two scenarios were chosen from the accidents database: surface and underground mining. The most important variables involved in occupational acc...

Studies involving consumer studies have suggested different mechanisms of subject selections. The paper elaborates results of subject’s responses by the methodology adopted from Kansei Engineering. In the research, evaluation of subject’s Kansei towards website interface design was performed, targeting to measure affective quality in website design. Principal Component Analysis was performed to...