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  1. 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...
    Chapter
  2. 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
  3. 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
  4. 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
  5. Audio Fingerprinting: Concepts And Applications

    An audio fingerprint is a unique and compact digest derived from perceptually relevant aspects of a recording. Fingerprinting technologies allow the...
    Pedro Cano, Eloi Batlle, ... Madeleine Bonnet in Computational Intelligence for Modelling and Prediction
    Chapter
  6. An Efficient Information Retrieval Method for Brownfield Assessment with Sparse Data*

    Environmental site investigations are carried out prior to the reclamation of industrially contaminated sites. In this study, an information...
    Linet Özdamar, Melek Basak Demirhan in Computational Intelligence for Modelling and Prediction
    Chapter
  7. Efficient ReasoningWith FuzzyWords

    Dealing with coarse granular information is very attractive for several reasons: 1. The number of details in an application might be so large that...
    Chapter
  8. Soft Computing Models for Network Intrusion Detection Systems

    Security of computers and the networks that connect them is increasingly becoming of great significance. Computer security is defined as the...
    Chapter
  9. Serendipity in Text and Audio Information Spaces: Organizing and Exploring High-Dimensional Data with the Growing Hierarchical Self-Organizing Map

    While tools exist that allow us to search through vast amounts of text within seconds, most systems fail to assist the user in getting an overview of...
    Michael Dittenbach, Dieter Merkl, Andreas Rauber in Classification and Clustering for Knowledge Discovery
    Chapter
  10. Identifying Interesting Patterns in Multidatabases

    In this chapter we develop a new technique for mining multidatabases. The new mining algorithm, by comparing to traditional multidatabase mining...
    Chengqi Zhang, Jeffrey Xu Yu, Shichao Zhang in Classification and Clustering for Knowledge Discovery
    Chapter
  11. Thematic Fuzzy Prediction of Weed Dispersal Using Spatial Dataset

    This paper demonstrates the framework and methodology of how weed population dynamics can be predicted using rule-base fuzzy logic as applied to GIS...
    Chapter
  12. Fuzzy Logic Strategy of Prognosticating TCP’s Timeout and Retransmission

    The work presented in this paper is the design and implementation of an intelligent strategy using fuzzy logic technology to gauge the TCP timeout...
    Zhongwei Zhang, Zhi Li, Shan Suthaharan in Computational Intelligence for Modelling and Prediction
    Chapter
  13. An Integrity Estimation Using Fuzzy Logic

    The authors have been involved in develo** an automated inspection system, based on machine vision, to assess the seaming quality in metal...
    P. Mariño, C. A. Sigüenza, ... F. Machado in Computational Intelligence for Modelling and Prediction
    Chapter
  14. A New Approach to Building Fuzzy Classifications in Sociological Research with Survey Data

    This paper offers a new approach to building classifications in sociological and marketing research. This approach is based on survey data and expert...
    Yu. N. Blagoveschensky, G.A. Satarov in Classification and Clustering for Knowledge Discovery
    Chapter
  15. Symmetrization Of Fuzzy Operators: Notes On Data Aggregation

    Fundamental operators of set theory, fuzzy sets and uncertain information processing explore a unipolar scale of the unit interval [0,1]. However, it...
    Wladyslaw Homenda, Witold Pedrycz in Computational Intelligence for Modelling and Prediction
    Chapter
  16. Intuitionistic Fuzzy Relational Images

    By tracing intuitionistic fuzzy sets back to the underlying algebraic structure that they are defined on (a complete lattice), they can be embedded...
    Martine De Cock, Chris Cornelis, Etienne E. Kerre in Computational Intelligence for Modelling and Prediction
    Chapter
  17. A Practical Approach to the Chord Analysis in the Acoustical Recognition Process

    The identification of simultaneously sounding notes is one of the key problems for music recognition. In this paper we outline the localization of...
    Marcin Szlenk, Wladyslaw Homenda in Computational Intelligence for Modelling and Prediction
    Chapter
  18. Long-Range Prediction of Population by Sex, Age and District Based on Fuzzy Theories

    A method to predict population by sex, age and district over a long-range period is proposed based on fuzzy theories. First, a fuzzy model is...
    Chapter
  19. FUZZY LINEAR PROGRAMMING: A MODERN TOOL FOR DECISION MAKING

    In this paper, the S-curve membership function methodology is used in a real life industrial problem of mix product selection. This problem occurs in...
    PANDIAN VASANT, R. NAGARAJAN, SAZALI YAACOB in Computational Intelligence for Modelling and Prediction
    Chapter
  20. P-Expert: Implementation and Deployment of Large Scale Fuzzy Expert Advisory System

    This paper discusses the problem of parthenium weed infestation in Queensland and describes P-Expert, an expert advisory system designed to provide...
    Chapter
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