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  1. Incremental Mining on Association Rules

    The discovery of association rules has been known to be useful in selective marketing, decision analysis, and business management. An important...
    W.-G. Teng, M.-S. Chen in Foundations and Advances in Data Mining
    Chapter

  2. Fuzzy Support Vector Machines with Automatic Membership Setting

    Support vector machines like other classification approaches aim to learn the decision surface from the input points for classification problems or...
    C.-fu Lin, S.-de Wang in Support Vector Machines: Theory and Applications
    Chapter

  3. Epilogue – Towards Develo** A Realistic Sense of Artificial Intelligence

    So far, we have considered how the artificial mind system based upon the holistic model as depicted in Fig. 5.1 (on page 84) works in terms of the...
    Tetsuya Hoya in Artificial Mind System - Kernel Memory Approach
    Chapter

  4. Memory Modules and the Innate Structure

    As the philosopher Miguel de Umamuno (1864-1936) once said, “We live in memory and memory, and our spiritual life is at bottom simply the effort of...
    Tetsuya Hoya in Artificial Mind System - Kernel Memory Approach
    Chapter

  5. A Feature/Attribute Theory for Association Mining and Constructing the Complete Feature Set

    A correct selection of features (attributes) is vital in data mining. For this aim, the complete set of features is constructed. Here are some...
    T.Y. Lin in Foundations and Advances in Data Mining
    Chapter

  6. Web Mining – Concepts, Applications and Research Directions

    From its very beginning, the potential of extracting valuable knowledge from the Web has been quite evident. Web mining, i.e. the application of data...
    T. Srivastava, P. Desikan, V. Kumar in Foundations and Advances in Data Mining
    Chapter

  7. Mining Association Rules from Tabular Data Guided by Maximal Frequent Itemsets

    We propose the use of maximal frequent itemsets (MFIs) to derive association rules from tabular datasets. We first present an efficient method to...
    Q. Zou, Y. Chen, ... X. Lu in Foundations and Advances in Data Mining
    Chapter

  8. CONCLUDING REMARKS

    The choice of problems presented in this study is intended to emphasize that in some cases even the classical problems of acoustics can be addressed...
    Bożena Kostek in Perception-Based Data Processing in Acoustics
    Chapter

  9. Fuzzy Subgroups of Abelian Groups

    Some of the best examples of algebraic structure theory come from commutative group theory. Commutative group theory is also a principal reason for...
    John N. Mordeson, Kiran R. Bhutani, Azriel Rosenfeld in Fuzzy Group Theory
    Chapter

  10. A Dynamic Model of Gene Regulatory Networks Based on Inertia Principle

    In molecular biology, functions are produced by a set of macromolecules that interact at different levels. Genes and their products, proteins,...
    Florence d’Alché-Buc, Pierre-Jean Lahaye, ... Samuele Bottani in Bioinformatics Using Computational Intelligence Paradigms
    Chapter

  11. A Comparative Investigation on Model Selection in Binary Factor Analysis

    Binary factor analysis has been widely used in data analysis with various applications. Most studies assume a known hidden factors number k or...
    Yujia An, Xuelei Hu, Lei Xu in Foundations of Data Mining and knowledge Discovery
    Chapter

  12. Extraction of Generalized Rules with Automated Attribute Abstraction

    We propose a novel method for mining generalized rules with high support and confidence. Using our method, we can obtain generalized rules in which...
    Yohji Shidara, Mineichi Kudo, Atsuyoshi Nakamura in Foundations of Data Mining and knowledge Discovery
    Chapter

  13. Improved Knowledge Mining with the Multimethod Approach

    Automatic induction from examples has a long tradition and represents an important technique used in data mining. Trough induction a method builds a...
    Mitja Lenič, Peter Kokol, ... Ryuichi Yamamoto in Foundations of Data Mining and knowledge Discovery
    Chapter

  14. A Careful Look at the Use of Statistical Methodology in Data Mining

    Knowledge discovery in databases (KDD) is an inherently statistical activity, with a considerable literature drawing upon statistical science....
    Norman Matloff in Foundations of Data Mining and knowledge Discovery
    Chapter

  15. Logical Regression Analysis: From Mathematical Formulas to Linguistic Rules

    Data mining means the discovery of knowledge from (a large amount of)data, and so data mining should provide not only predictions but also knowledge...
    H. Tsukimoto in Foundations and Advances in Data Mining
    Chapter

  16. Privacy-Preserving Data Mining

    The growth of data mining has raised concerns among privacy advocates. Some of this is based on a misunderstanding of what data mining does. The...
    C. Clifton, M. Kantarcıoğlu, J. Vaidya in Foundations and Advances in Data Mining
    Chapter

  17. COGNITIVE PROCESSING IN ACOUSTICS

    The idea of vagueness (contrary to bi-valent logic) appeared at the end of the 19th century, and was formally applied to the field of logic in 1923...
    Bożena Kostek in Perception-Based Data Processing in Acoustics
    Chapter

  18. Free Fuzzy Subgroups and Fuzzy Subgroup Presentations

    In this chapter, we define a notion of a free fuzzy subgroup and study its basic properties. We examine two approaches. The first approach is based...
    John N. Mordeson, Kiran R. Bhutani, Azriel Rosenfeld in Fuzzy Group Theory
    Chapter

  19. Active-Set Methods for Support Vector Machines

    This chapter describes an active-set algorithm for quadratic programming problems that arise from the computation of support vector machines (SVMs)....
    M. Vogt, V. Kecman in Support Vector Machines: Theory and Applications
    Chapter

  20. The Self-Organising Kernel Memory (SOKM)

    In the previous chapter, various topological representations in terms of the kernel memory concept have been discussed together with some...
    Tetsuya Hoya in Artificial Mind System - Kernel Memory Approach
    Chapter
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