Modern Approaches for Intelligent Information and Database Systems

AvAndrzej Sieminski,Adrianna Kozierkiewicz

Häftad, Engelska, 2019

Del i serien Studies in Computational Intelligence

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Beskrivning

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

Utgivningsdatum:2019-01-12
Mått:155 x 235 x 30 mm
Vikt:838 g
Format:Häftad
Språk:Engelska
Serie:Studies in Computational Intelligence
Antal sidor:541
Förlag:Springer Nature Switzerland AG
ISBN:9783030093983

Utforska kategorier

Artificiell intelligens inom Data och IT

Innehållsförteckning

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.