Modern approaches for intelligent in...
Sieminski, Andrzej.

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  • Modern approaches for intelligent information and database systems
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Modern approaches for intelligent information and database systems/ edited by Andrzej Sieminski ... [et al.].
    other author: Sieminski, Andrzej.
    Published: Cham :Springer International Publishing : : 2018.,
    Description: xiii, 541 p. :ill. (some col.), digital ;24 cm.
    [NT 15003449]: Part I: Knowledge Engineering and Semantic Web -- A Three-stage Consensus-based Method for Collective Knowledge Determination -- Fuzzy Ontology Modeling by Utilizing Fuzzy Set and Fuzzy Description Logic -- An Approach for Recommending Group Experts on Question and Answering Sites -- A method for uncertainty elicitation of experts using belief function -- Storing Hypergraph-based Data Models in Non-hypergraph Data Storage -- Part II: Natural Language Processing and Text Mining -- A Fuzzy Logic Approach to Predict the Popularity of a Presidential Candidate -- DNA Sequences Representation Derived from Discrete Wavelet Transformation for Text Similarity Recognition -- Tweet integration by finding the shortest paths on a word graph -- Event detection in Twitter: Methodological Evaluation and Structural Analysis of the Bibliometric Data -- Combination of inner approach and context-based approach for extracting feature of medical record data -- A Novel Method to Predict Type for DBpedia Entity -- Context-Based Personalized Predictors of the Length of Written Responses to Open-ended Questions of Elementary School Students -- Part III: Machine Learning and Data Mining -- Robust Scale-Invariant Normalization and Similarity Measurement for Time Series Data.
    Contained By: Springer eBooks
    Subject: Artificial intelligence. -
    Online resource: http://dx.doi.org/10.1007/978-3-319-76081-0
    ISBN: 9783319760810
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