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    Chapter

    Towards a Methodology for Data Mining Project Development: The Importance of Abstraction

    Standards such as CRISP-DM, SEMMA, PMML, are making data mining processes easier. Nevertheless, up to date, projects are being developed more as an art than as a science making it difficult to understand, eval...

    P. González-Aranda, E. Menasalvas, S. Millán in Data Mining: Foundations and Practice (2008)

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    Chapter and Conference Paper

    Towards User Context Enhance Search Engine Logs Mining

    Making search engines responsive to human needs requires understanding user intention when submitting a query. Intention, context and situation are intimately connected [8]. Thus context modelling is paramount...

    S. Eibe, M. Valencia, E. Menasalvas, J. Segovia in Advances in Intelligent Web Mastering (2007)

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    Chapter

    An Algorithm to Calculate the Expected Value of an Ongoing User Session

    The fiercely competitive web-based electronic commerce environment has made necessary the application of intelligent methods to gather and analyze information collected from consumer web sessions. Knowledge ab...

    S. Millán, E. Menasalvas, M. Hadjimichael in Foundations of Data Mining and knowledge D… (2005)

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    Chapter and Conference Paper

    Web Usage Mining Project for Improving Web-Based Learning Sites

    Despite the great success of data mining being applied for personalization in web environments, it has not yet been massively applied in the e-learning domains. In this paper, we outline a web usage mining pro...

    M. E. Zorrilla, E. Menasalvas, D. Marín in Computer Aided Systems Theory – EUROCAST 2… (2005)

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    Chapter and Conference Paper

    An Approach to Estimate the Value of User Sessions Using Multiple Viewpoints and Goals

    Web-based commerce systems fail to achieve many of the features that enable small businesses to develop a friendly human relationship with customers. Although many enterprises have worried about user identific...

    E. Menasalvas, S. Millán, M. S. Pérez in Web Mining: From Web to Semantic Web (2004)

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    Chapter and Conference Paper

    A Framework to Integrate Business Goals in Web Usage Mining

    Web mining is a broad term that has been used to refer to the process of information discovery from Web sources: content, structure, and usage. Information collected by web servers and kept in the server log i...

    E. Hochsztain, S. Millán, B. Pardo, J. M. Peña in Advances in Web Intelligence (2003)

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    Chapter and Conference Paper

    Interval Estimation Naïve Bayes

    Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier called naïve Bayes is competitive with state of the art classifiers. This simple approach stands from assumptions of ...

    V. Robles, P. Larrañaga, J. M. Peña in Advances in Intelligent Data Analysis V (2003)

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    Chapter and Conference Paper

    Learning Semi Naïve Bayes Structures by Estimation of Distribution Algorithms

    Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier called naïve Bayes is competitive with state of the art classifiers. This simple approach stands from assumptions of ...

    V. Robles, P. Larrañaga, J. M. Peña, M. S. Pérez in Progress in Artificial Intelligence (2003)