This study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining process. The approach is characterized by the use ot…

In this position paper, the main steps to measure and evaluate quantitatively the quality of sites are shown. Besides, some specific models, criteria and procedures to apply in these activities are discussed by quoting case studies already performed (e.g., in…

With the growing complexity of window based software and the use of object-oriented, the development of software is getting more complex than ever. Based on that, this article intends to present a methodology for software documentation and to analyze our…

In this work, a conceptual framework and the associated strategies for metrics and model validation are analyzed regarding website measurement and evaluation. Particularly, we have conducted three case studies in different Web domains in order to evaluate and compare the…

It is commonly said that a pattern has four essential parts: a statement of the context where the pattern is useful, the problem that the pattern addresses, the forces that play in forming a solution, and the solution that resolves…

This study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining process. The approach is characterized by the use of…

DATA QUALITY IS DEGRADED DURING THE PROCESS OF EXTRACTING AND MERGING DATA FROM MULTIPLE HETEROGENEOUS SOURCES. BESIDES, USERS HAVE NO INFORMATION REGARDING THE QUALITY OF THE ACCESSED DATA. THIS DOCUMENT PRESENTS THE METHODS UTILIZED TO ASSESS DATA QUALITY AT MULTIPLE…

In this study we use cointegration methods to investigate the relationship between the variables of the Ohlson model (stock price, earnings per share and book value) with panel data. The cointegration tests were applied at individual and group level (by…

En este artículo presentamos el sistema AMSABEL, un sistema de acceso a información basado en lenguaje natural. AMSABEL proporciona acceso al contenido de una base de datos relacional, a partir de consultas realizadas en lenguaje natural, tanto en castellano como…

Metric-temporal databases are a new database model that combines metric spaces with temporal databases to process similarity queries within a time interval or snapshot. The Historical FHQT is a metric-temporal index which has shown to be competitive answering this type…