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  1. Virtual Reality in Healthcare

    In our modern 21st century, daily life would be unthinkable without computers. Multimedia and virtual reality are useful for people with special...
    Cecília Sik Lányi in Intelligent Paradigms for Assistive and Preventive Healthcare
    Chapter

  2. Access to Information on Demand by the aid of Digital Talking Books

    This chapter addresses the concept and the fundamental ideas of the digital talking book (DTB), with a particular focus on DTBs in the DAISY format....
    Thomas Kjellberg Christensen, Margit Dühring in Intelligent Paradigms for Assistive and Preventive Healthcare
    Chapter

  3. Measuring User Satisfaction in Web Searching

    Search engines are among the most popular as well as useful services on the web. But the problem we face is due to the large number of search engines...
    M. M. Sufyan Beg, Nesar Ahmad in Computational Intelligence for Modelling and Prediction
    Chapter

  4. A Fuzzy Method for Learning Simple Boolean Formulas from Examples

    We discuss a method for inferring Boolean functions from examples. The method is inherently fuzzy in two respects: i) we work with a pair of formulas...
    Bruno Apolloni, Andrea Brega, ... Anna Maria Zanaboni in Computational Intelligence for Modelling and Prediction
    Chapter

  5. Soft Computing Paradigms for Web Access Pattern Analysis

    Web servers play a crucial role to convey knowledge and information to the end users. With the popularity of the WWW, discovering the hidden...
    **aozhe Wang, Ajith Abraham, Kate A. Smith in Classification and Clustering for Knowledge Discovery
    Chapter

  6. Ontology-based Fuzzy Decision Agent and Its Application to Meeting Scheduling Support System

    A Fuzzy Decision Agent (FDA) based on personal ontology for Meeting Scheduling Support System (MSSS) is proposed in this chapter. In this system,...
    Chang-Shing Lee, Hei-Chia Wang, Meng-Ju Chang in Classification and Clustering for Knowledge Discovery
    Chapter

  7. D-GridMST: Clustering Large Distributed Spatial Databases

    In this paper, we will propose a novel distributable clustering algorithm, called Distributed-GridMST (D–GridMST for short), which deals with large...
    Ji Zhang, Han Liu in Classification and Clustering for Knowledge Discovery
    Chapter

  8. Data Mining of Missing Persons Data

    This paper presents the results of analysis to evaluate the effectiveness of data mining techniques to predict the outcome for missing persons cases....
    K. Blackmore, T. Bossomaier, ... D. Thomson in Classification and Clustering for Knowledge Discovery
    Chapter

  9. Modeling of Fuzzy Data

    Fuzzy data are imprecise data obtained from measurements, perception or by interviewing people. Typically, those data are expressed in linguistic...
    Hung T. Nguyen, Berlin Wu in Fundamentals of Statistics with Fuzzy Data
    Chapter

  10. Fuzzy Statistical Analysis and Estimation

    In social science research, many decisions, evaluations, or purposes of evaluations are done by surveys or questionnaires to seek for people’s...
    Hung T. Nguyen, Berlin Wu in Fundamentals of Statistics with Fuzzy Data
    Chapter

  11. Rough Set Theory with Applications to Data Mining

    This paper is an introduction to rough set theory with an emphasis on applications to data mining. First, consistent data are discussed, including...
    J.W. Grzymala-Busse in Real World Applications of Computational Intelligence
    Chapter

  12. 2 Hybrid Estimation at a Glance

    One of our test applications is a simulation study of the BIO-Plex Test Complex at NASA Johnson Space Center, a five chamber facility for evaluating...
    Michael W. Hofbaur in Hybrid Estimation of Complex Systems
    Chapter

  13. 4 Hybrid Estimation

    Whenever we automate a complex physical artifact it is essential to know its operational state at each time. However, it is not always possible or...
    Michael W. Hofbaur in Hybrid Estimation of Complex Systems
    Chapter

  14. Use of Fuzzy Feature Descriptions to Recognize Handwritten Alphanumeric Characters

    The main challenge in handwritten character recognition involves the development of a method that can generate descriptions of the handwritten...
    G.E.M.D.C. Bandara, R.M. Ranawana, S.D. Pathirana in Classification and Clustering for Knowledge Discovery
    Chapter

  15. A Longitudinal Comparison of Supervised and Unsupervised Learning Approaches to Iso-Resource Grou** for Acute Healthcare in Australia

    Estimating resource consumption of hospital patients is important for various tasks such as hospital funding, and management and allocation of...
    Eu-Gene Siew, Kate A. Smith, ... Jeff Wassertheil in Classification and Clustering for Knowledge Discovery
    Chapter

  16. Reinforcement Learning: A Brief Overview

    Learning techniques can be usefully grouped by the type of feedback that is available to the learner. A commonly drawn distinction is that between...
    Jeremy Wyatt in Foundations of Learning Classifier Systems
    Chapter

  17. An Analysis of Continuous-Valued Representations for Learning Classifier Systems

    Learning Classifier Systems [11] typically use a ternary representation to encode the environmental condition that a classifier matches. However,...
    Christopher Stone, Larry Bull in Foundations of Learning Classifier Systems
    Chapter

  18. Tests of Hypothesis: Means

    In many expositions of fuzzy methods, fuzzy techniques are described as an alternative to a more traditional statistical approach. In this chapter,...
    Hung T. Nguyen, Berlin Wu in Fundamentals of Statistics with Fuzzy Data
    Chapter

  19. Fuzzy Time Series Analysis and Forecasting

    The problem of system modeling and identification has attracted considerable attention during the past decades mostly because of a large number of...
    Hung T. Nguyen, Berlin Wu in Fundamentals of Statistics with Fuzzy Data
    Chapter

  20. Data Driven Fuzzy Modelling with Neural Networks

    Extraction of models for complex systems from numerical data of behavior is studied. In particular, systems representable as sets of fuzzy if-then...
    C. Moraga in Real World Applications of Computational Intelligence
    Chapter
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