Titlebook: Knowledge Discovery Enhanced with Semantic and Social Information; Bettina Berendt,Dunja Mladeni?,Filip ?elezny Book 2009 Springer-Verlag

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cathartic

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A Study of the SEMINTEC Approach to Frequent Pattern MiningIn this paper, first, we prove that the approach introduced in our previous work for the DLP fragment of description logic family of languages, is also valid for more expressive languages. Next, we present the experimental results under different settings of the approach, and on knowledge bases of different sizes and complexities.

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The , Project: Web Information Extraction Using Extraction Ontologiestically constructing these from third-party domain ontologies, (2) absorbing the results of inductive learning for subtasks where pre-labelled data abound, and (3) actively exploiting formatting regularities in the wrapper style.

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Item Weighting Techniques for Collaborative Filteringcomputation the items with the smallest weights.We assume that the items with smallest weights are the least useful for generating the prediction. We have evaluated the proposed methods using two datasets (MovieLens and Yahoo!) and identified the conditions for their best application in CF.

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1860-949X owledge discovery enhanced with semantic and social information. It includes eight contributed chapters that grew out of two joint workshops at ECML/PKDD 2007..There is general agreement that the effectiveness of Machine Learning and Knowledge Discovery output strongly depends not only on the qualit

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A Knowledge-Intensive Approach for Semi-automatic Causal Subgroup Discovery In a semi-automatic approach, the network and the discovered relations are presented to the user as an intuitive visualization. The applicability and benefit of the presented technique is illustrated by examples from a case-study in the medical domain.

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