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Titlebook: Intelligent Information Processing and Web Mining; Proceedings of the I Mieczysław A. Kłopotek,Sławomir T. Wierzchoń,Krzys Conference proce

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Concept Description Vectors and the 20 Question Gameic creation of concept description vectors from various sources, including ontologies, dictionaries, encyclopedias and unstructured text sources, are described. Information collected in this way is used to formulate questions that have high discriminating power in the twenty questions game.
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Rough Classification Used for Learning Scenario Determination in Intelligent Learning Systeminimal set of learner profile attributes and their values that can be used for determination of optimal learning scenario. For this aim the problems of rough classification are defined and their solutions are presented.
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Minimum Spanning Trees Displaying Semantic Similarityghted and similarity matrix between normalized vectors is used to create separate minimum sub-trees showing clustering of people’s interest. Results show that in this application simple selection of important keywords is as good as LSA but with much lower algorithmic complexity.
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Automatic Scripts Retrieval and Its Possibilities for Social Sciences Support Applicationsiology or in language education. By this paper we would like to make NLP researchers notice the potential of commonsense retrieval and encourage them to consider creating such tools for their languages.
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IDARM — Mining of Indirect Association Rulestransitive page, while the latter cover all existing transitive pages. The presented IDARM algorithm extracts complete indirect association rules with their important measure — confidence, using pre-calculated direct rules.
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Knowledge Visualization Using Optimized General Logic Diagramsfocuses on the problem of arranging attributes that span the diagram in a way that leads to the most readable rule visualization in the diagram. This problem has been solved by applying a simulated annealing.
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