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  1. No Access

    Chapter and Conference Paper

    Hypothesis-Driven Interactive Classification Based on AVO

    We consider a classification process, that the representation precision of new examples is interactively increased. We use an attribute value ontology (AVO) to represent examples at different levels of abstrac...

    Tomasz Łukaszewski, Jedrzej Potoniec, Szymon Wilk in Man-Machine Interactions 3 (2014)

  2. No Access

    Chapter and Conference Paper

    Controlling the Prediction Accuracy by Adjusting the Abstraction Levels

    The predictive accuracy of classifiers is determined among others by the quality of data. This important property of data is strongly affected by such factors as the number of erroneous or missing attributes p...

    Tomasz Łukaszewski, Joanna Józefowska… in Hybrid Artificial Intelligent Systems (2011)

  3. No Access

    Chapter

    A Study of the SEMINTEC Approach to Frequent Pattern Mining

    This paper contains the experimental investigation of an approach, named SEMINTEC, to frequent pattern mining in combined knowledge bases represented in description logic with rules (so-called

    Joanna Józefowska, Agnieszka Ławrynowicz… in Knowledge Discovery Enhanced with Semantic… (2009)

  4. No Access

    Chapter and Conference Paper

    On Reducing Redundancy in Mining Relational Association Rules from the Semantic Web

    In this paper we discuss how to reduce redundancy in the process and in the results of mining the Semantic Web data. In particular, we argue that the availability of the domain knowledge should not be disregar...

    Joanna Józefowska, Agnieszka Ławrynowicz… in Web Reasoning and Rule Systems (2008)

  5. No Access

    Chapter and Conference Paper

    Faster Frequent Pattern Mining from the Semantic Web

    In this paper we propose a method for frequent pattern discovery from the knowledge bases represented in OWL DLP. OWL DLP, known also as Description Logic Programs, is the intersection of the expressivity of O...

    Joanna Józefowska, Agnieszka Ławrynowicz… in Intelligent Information Processing and Web… (2006)

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    Chapter and Conference Paper

    Frequent Pattern Discovery from OWL DLP Knowledge Bases

    The Semantic Web technology should enable publishing of numerous resources of scientific and other, highly formalized data on the Web. The application of mining these huge, networked Web repositories seems int...

    Joanna Józefowska, Agnieszka Ławrynowicz… in Managing Knowledge in a World of Networks (2006)

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    Chapter and Conference Paper

    Comparison of Efficiency of Some Updating Schemes on Bayesian Networks

    The problem of efficiency of general reasoning with knowledge updating on Bayesian networks is considered. The optimization should take into account not only the reasoning efficiency but also the prospective u...

    Tomasz Łukaszewski in Intelligent Information Processing and Web Mining (2005)

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    Chapter and Conference Paper

    Towards Discovery of Frequent Patterns in Description Logics with Rules

    This paper follows the research direction that has received a growing interest recently, namely application of knowledge discovery methods to complex data representations. Among others, there have been methods...

    Joanna Józefowska, Agnieszka Ławrynowicz… in Rules and Rule Markup Languages for the Se… (2005)

  9. No Access

    Chapter and Conference Paper

    An Evolutionary Algorithm for Bayesian Network Triangulation

    The problem of triangulation (decomposition) of Bayesian networks is considered. Triangularity of a Bayesian network is required in a general evidence propagation scheme on this network. Finding an optimal tri...

    Tomasz Łukaszewski in Operations Research Proceedings 2002 (2003)