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  1. 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

  2. A New Theoretical Framework for K-Means-Type Clustering

    One of the fundamental clustering problems is to assign n points into k clusters based on the minimal sum-of-squares(MSSC), which is known to be...
    J. Peng, Y. **a in Foundations and Advances in Data Mining
    Chapter

  3. 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...
    T. Poggio, S. Smale in Foundations and Advances in Data Mining
    Chapter

  4. Web Page Classification*

    This chapter describes systems that automatically classify web pages into meaningful categories. It first defines two types of web page...
    B. Choi, Z. Yao in Foundations and Advances in Data Mining
    Chapter

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. RFID Security

    Gildas Avoine in Encyclopedia of Cryptography, Security and Privacy
    Living reference work entry 2024

  13. Protocol

    Berry Schoenmakers in Encyclopedia of Cryptography, Security and Privacy
    Living reference work entry 2024

  14. Vulnerability Metrics

    Massimiliano Albanese in Encyclopedia of Cryptography, Security and Privacy
    Living reference work entry 2024

  15. Threshold Signature

    Gerrit Bleumer in Encyclopedia of Cryptography, Security and Privacy
    Living reference work entry 2024

  16. Metrics of Software Security

    Guido Salvaneschi, Paolo Salvaneschi in Encyclopedia of Cryptography, Security and Privacy
    Living reference work entry 2024

  18. Theorem Proving and Security

    Catherine Meadows in Encyclopedia of Cryptography, Security and Privacy
    Living reference work entry 2024

  20. Oblivious RAM (ORAM)

    Alessandro Barenghi, Gerardo Pelosi in Encyclopedia of Cryptography, Security and Privacy
    Living reference work entry 2024
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