Óscar Marbán

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Up to now, many data mining and knowledge discovery methodologies and process models have been developed, with varying degrees of success. In this paper, we describe the most used (in industrial and academic projects) and cited (in scientific literature) data mining and knowledge discovery methodologies and process models, providing an overview of its(More)
The number, variety and complexity of projects involving data mining or knowledge discovery in databases activities have increased just lately at such a pace that aspects related to their development process need to be standardized for results to be integrated, reused and interchanged in the future. Data mining projects are quickly becoming engineering(More)
Personalized recommender systems can be classified into three main categories: content-based, mostly used to make suggestions depending on the text of the web documents, collaborative filtering, that use ratings from many users to suggest a document or an action to a given user and hybrid solutions. In the collaborative filtering task we can find algorithms(More)
This present research shows the creation of a model for the management of Ad Hoc mobile networks called HAMAN (High Availability Management Ad Hoc Networks). The HAMAN model has been structured in layers in which each of the components and interfaces has been formally defined. HAMAN uses a hierarchical routing strategy through subsets of nodes or clusters.(More)
Electronic, web-based commerce enables and demands the application of intelligent methods to analyze information collected from consumer web sessions. We propose a method of increasing the granularity of the user session analysis by isolating useful subsessions within web page access sessions, where each subsession represents a frequently traversed path(More)
Both the number and complexity of Data Mining projects has increased in late years. Unfortunately, nowadays there isn’t a formal process model for this kind of projects, or existing approaches are not right or complete enough. In some sense, present situation is comparable to that in software that led to ’software crisis’ in latest 60’s. Software(More)
This paper examines the problems of applying traditional function points count rules to virtual reality systems (VRS). From the analysis of the differences between traditional and VRS systems, a set of deficiencies in the IFPUG 4.1 function points count method was detected. Due to the increasing importance of these kinds of applications, it is necessary to(More)
In this paper, we propose a three-phase methodology (measurement, calibration and estimation) for locating mobile stations (MS) in an indoor environment using wireless technology. Our solution is a fingerprint-based positioning system that overcomes the problem of the relative effect of doors and walls on signal strength and is independent of network device(More)