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Showing 41-60 of 10,000 results
  1. Integrated Clustering Modeling with Backpropagation Neural Network for Effcient Customer Relationship Management

    The rapid progress in digital data acquisition and storage technology has lead to the fast growing tremendous and amount of data stored in databases,...
    Tijen Ertay, Bora Çekyay in Intelligent Data Mining
    Chapter
  2. The Mathematics of Learning: Dealing with Data *

    Learning is key to develo** systems tailored to a broad range of data analysis and information extraction tasks. We outline the mathematical...
    Chapter
  3. Web Page Classification*

    This chapter describes systems that automatically classify web pages into meaningful categories. It first defines two types of web page...
    Chapter
  4. Structural Solutions to Disturbance Decoupling

    This chapter develops a novel algorithm which solves the disturbance decoupling problem by repeatedly decoupling one output variable at a time. The...
    Chapter
  5. INTRODUCTION

    Over the last decade, a series of publications has brought and established new research areas related to music, and intensified the research verging...
    Chapter
  6. Cluster Identification Using Maximum Configuration Entropy

    Clustering is an important task in data mining and machine learning. In this paper, a normalized graph sampling algorithm for clustering that...
    Chapter
  7. A Probabilistic Logic-based Framework for Characterizing Knowledge Discovery in Databases

    In order to further improve the KDD process in terms of both the degree of automation achieved and types of knowledge discovered, we argue that a...
    Chapter
  8. An Algorithm to Calculate the Expected Value of an Ongoing User Session

    The fiercely competitive web-based electronic commerce environment has made necessary the application of intelligent methods to gather and analyze...
    S. Millán, E. Menasalvas, ... E. Hochsztain in Foundations of Data Mining and knowledge Discovery
    Chapter
  9. Fast Color Texture-Based Object Detection in Images: Application to License Plate Localization

    The current chapter presents a color texture-based method for object detection in images. A support vector machine (SVM) is used to classify each...
    K.I. Kim, K. Jung, H.J. Kim in Support Vector Machines: Theory and Applications
    Chapter
  10. Application of Support Vector Machines in Inverse Problems in Ocean Color Remote Sensing

    Neural networks are widely used as transfer functions in inverse problems in remote sensing. However, this method still suffers from some problems...
    Chapter
  11. Multiple Model Estimation for Nonlinear Classification

    This chapter describes a new method for nonlinear classification using a collection of several simple (linear) classifiers. The approach is based on...
    Chapter
  12. Active Support Vector Learning with Statistical Queries

    The article describes an active learning strategy to solve the large quadratic programming (QP) problem of support vector machine (SVM) design in...
    P. Mitra, C.A. Murthy, S.K. Pal in Support Vector Machines: Theory and Applications
    Chapter
  13. Sensation and Perception Modules

    In any kind of creature, both the mechanisms of sensation and perception are indispensable for continuous living, e.g. to find edible plants/fruits...
    Chapter
  14. Modelling Abstract Notions Relevant to the Mind and the Associated Modules

    This chapter is devoted to the remaining four modules within the AMS, i.e. 1) attention, 2) emotion, 3) intention, and 4) intuition module, and their...
    Chapter
  15. Using an Adapted Classification Based on Associations Algorithm in an Activity-Based Transportation System

    A lot of research has been carried out in the past by using association rules to build more accurate classifiers. The idea behind these integrated...
    Davy Janssens, Geert Wets, ... Koen Vanhoof in Intelligent Data Mining
    Chapter
  16. Clustering Via Decision Tree Construction

    Clustering is an exploratory data analysis task. It aims to find the intrinsic structure of data by organizing data objects into similarity groups or...
    B. Liu, Y. **a, P.S. Yu in Foundations and Advances in Data Mining
    Chapter
  17. Sequential Pattern Mining by Pattern-Growth: Principles and Extensions*

    Sequential pattern mining is an important data mining problem with broad applications. However, it is also a challenging problem since the mining may...
    J. Han, J. Pei, X. Yan in Foundations and Advances in Data Mining
    Chapter
  18. Literature Overview

    This chapter introduces the main literature relevant for the field of reconfi-guration. During the last decade, different communities have dealt with...
    Chapter
  19. Reconfiguration Using a Virtual Actuator

    This chapter develops the concept of a virtual actuator. The idea of a virtual actuator is to use the input signal meant for the nominal process and...
    Chapter
  20. PERCEPTUAL BASES OF HEARING AND MUSIC PERCEPTION

    The human auditory system pertains to the entire peripheral auditory mechanism. Classically, the peripheral auditory system has been divided into...
    Chapter
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