Data Mining and Analysis: Fundamental Concepts and Algorithms

  title={Data Mining and Analysis: Fundamental Concepts and Algorithms},
  author={Mohammed J. Zaki},
  • Mohammed J. Zaki
  • Published 2014
  • Computer Science
  • The fundamental algorithms in data mining and analysis form the basis for the emerging field of data science, which includes automated methods to analyze patterns and models for all kinds of data, with applications ranging from scientific discovery to business intelligence and analytics. This textbook for senior undergraduate and graduate data mining courses provides a broad yet in-depth overview of data mining, integrating related concepts from machine learning and statistics. The main parts… CONTINUE READING

    Figures, Tables, and Topics from this paper.

    Paper Mentions

    Pre-processing Methods of Data Mining
    • 16
    • Highly Influenced
    Big data preprocessing: methods and prospects
    • 114
    • PDF
    Data Mining: The Textbook
    • 481
    • PDF
    Big Data Technologies and Applications
    • 16
    • Highly Influenced
    • PDF
    Machine Learning for Text
    • 50
    • PDF


    Publications referenced by this paper.
    Data Mining: Concepts and Techniques
    • 13,749
    • PDF
    Kernel Methods for Pattern Analysis
    • 3,685
    • PDF
    On Clustering Validation Techniques
    • 2,284
    • PDF
    Data clustering: a review
    • 12,805
    • PDF
    Survey of clustering algorithms
    • 4,786
    • PDF
    Principles of Data Mining
    • 3,504
    • PDF
    SLIQ: A Fast Scalable Classifier for Data Mining
    • 853
    • PDF