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Modern Approaches for Intelligent Information and Database Systems
This book offers a unique blend of reports on both theoretical models and their applications in the area of Intelligent Information and Database Systems. The reports cover a broad range of research topics, including advanced learning techniques, knowledge engineering, Natural Language Processing (NL...
| Corporate Author: | |
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| Other Authors: | , , , |
| Format: | e-Book |
| Language: | English |
| Published: |
Cham :
Springer International Publishing :
2018.
Imprint: Springer, |
| Edition: | 1st ed. 2018. |
| Series: | Studies in Computational Intelligence,
769 |
| Subjects: | |
| Online Access: | Full-text access |
Table of Contents:
- 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.