Del i serien Studies in Computational Intelligence

Modern Approaches for Intelligent Information and Database Systems

Häftad, Engelska, 2019

AvAndrzej Sieminski,Adrianna Kozierkiewicz,Manuel Nunez,Quang Thuy Ha

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This book offers a unique blend of reports on both theoretical models and their applications in the area of Intelligent Information and Database Systems.

Produktinformation

Utgivningsdatum2019-01-12
Mått155 x 235 x 30 mm
Vikt838 g
FormatHäftad
SpråkEngelska
SerieStudies in Computational Intelligence
Antal sidor541
FörlagSpringer Nature Switzerland AG
ISBN9783030093983

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Artificiell intelligens inom Data och IT

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.