In this paper we present and evaluate Inhambu, a distributed objectoriented system that relies on dynamic monitoring to collect information about the availability of computational resources, providing the necessary support for the execution of data mining applications on clusters of PCs and workstations. We also describe a modified implementation of the data mining tool Weka, which executes the...

Due to the exponential growth of hardware technology particularly in the field of electronic data storage media and processing such data, has raised serious issues related in order to protect the individual privacy like ethical, philosophical and legal. Data mining techniques are employed to ensure the privacy. Privacy Preserving Data Mining (PPDM) techniques aim at protecting the sensitive dat...

This paper describes our research effort to employ Grid technologies to enable the development of geoscience applications by integrating workflow technologies with data mining resources and a portal framework in unique work environment called MOSÈ. Using MOSÈ, a user can easily compose and execute geo-workflows for analyzing and managing natural disasters such as landslides, earthquakes, floods...

Knowledge engineering and data mining are the two biggest pillars of modern intelligent systems [...]

This document presents a proposal for the development of an oceanatmosphere dynamic predictive model for the central Caribbean region of Colombia. The proposal is based on temporary data mining techniques and includes the development of a software tool that complements the model. The software tool uses Weka API to implement several algorithms, such as data mining association rules, decision tre...

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 opensource 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 e...

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