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  1. 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
  2. 2. Analysis of Switched and Impulsive Systems

    The analysis will focus on the case where the switchings are governed by a finite state machine. This is because the common Lyapunov function method...
    Zhengguo Li, Yengchai Soh, Changyun Wen in Switched and Impulsive Systems
    Chapter
  3. 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
  4. 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
  5. 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
  6. Some Considerations in Multi-Source Data Fusion

    We introduce the data fusion problem and carefully distinguish it from a number of closely problems. Some of the considerations and knowledge that...
    Ronald R. Yager in Intelligent Data Mining
    Chapter
  7. Fuzzy Process Control with Intelligent Data Mining

    The quality-related characteristics cannot sometimes be represented in numerical form, such as characteristics for appearance, softness, color, etc....
    Murat Gülbay, Cengiz Kahraman in Intelligent Data Mining
    Chapter
  8. Accelerating the New Product Introduction with Intelligent Data Mining

    New product development (NPD) is a vital activity for companies. It is also a very risky process since every development stage involves a high degree...
    Gülçin Büyüközkan, Orhan Feyzioğlu in Intelligent Data Mining
    Chapter
  9. Evolutionary Induction of Descriptive Rules in a Market Problem

    Nowadays, face to face contact with the client continues to be fundamental to the development of marketing acts. Trade fairs are, in this sense, a...
    M.J. del Jesus, P. González, ... M. Mesonero in Intelligent Data Mining
    Chapter
  10. 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
  11. 3. Stability of Linear Switched and Impulsive Systems

    In the previous chapter, we have set up the basic framework for the stability analysis of switched and impulsive systems. The framework provides the...
    Zhengguo Li, Yengchai Soh, Changyun Wen in Switched and Impulsive Systems
    Chapter
  12. 10. Future Research Directions and Potential Applications

    Many interesting applications of switched and impulsive systems have been presented in the previous chapters. We shall conclude this book by...
    Zhengguo Li, Yengchai Soh, Changyun Wen in Switched and Impulsive Systems
    Chapter
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. Self-Tuning Fuzzy Rule Bases with Belief Structure

    A fuzzy rule-based evidential reasoning (FURBER) approach has been proposed recently, where a fuzzy rule-base designed on the basis of a belief...
    Jun Liu, Da Ruan, ... Luis Martinez Martinez in Intelligent Data Mining
    Chapter
  19. Sensory Quality Management and Assessment: from Manufacturers to Consumers

    This paper presents an intelligent technique based method for analyzing and interpreting sensory data provided by multiple panels for the evaluation...
    Ludovic Koehl, **anyi Zeng, ... Yongsheng Ding in Intelligent Data Mining
    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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