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      • [PDF] Data Mining and Analysis: Fundamental Concepts and Algorithms Free Download by Mohammed J. Zaki , Wagner Meira Jr. | Publisher : Cambridge University Press | Category : Computers & Internet | Tags : Analysis, Models, Scientific, Intelligence, Kernel, Networks | ISBN-10 : 0521766338 | ISBN-13 : 9780521766333
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      • Data Mining and Analysis: Fundamental Concepts and Algorithms by Mohammed J. Zaki , Wagner Meira Jr., Publisher : Cambridge University Press
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      • 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 of the book include exploratory data analysis, pattern mining, clustering, and classification. The book lays the basic foundations of these tasks, and also covers cutting-edge topics such as kernel methods, high-dimensional data analysis, and complex graphs and networks. With its comprehensive coverage, algorithmic perspective, and wealth of examples, this book offers solid guidance in data mining for students, researchers, and practitioners alike.

        Key features

        • Covers both core methods and cutting-edge research
        • Algorithmic approach with open-source implementations
        • Minimal prerequisites: all key mathematical concepts are presented, as is the intuition behind the formulas
        • Short, self-contained chapters with class-tested examples and exercises allow for flexibility in designing a course and for easy reference
        • Supplementary website with lecture slides, videos, project ideas, and more

        Table of Contents

        Chapter 1 Data Mining and Analysis

        Part I Data Analysis Foundations
        Chapter 2 Numeric Attributes
        Chapter 3 Categorical Attributes
        Chapter 4 Graph Data
        Chapter 5 Kernel Methods
        Chapter 6 High-Dimensional Data
        Chapter 7 Dimensionality Reduction

        Part II Frequent Pattern Mining
        Chapter 8 Itemset Mining
        Chapter 9 Summarizing Itemsets
        Chapter 10 Sequence Mining
        Chapter 11 Graph Pattern Mining
        Chapter 12 Pattern and Rule Assessment

        Part III Clustering
        Chapter 13 Representative-based Clustering
        Chapter 14 Hierarchical Clustering
        Chapter 15 Density-based Clustering
        Chapter 16 Spectral and Graph Clustering
        Chapter 17 Clustering Validation

        Part IV Classification
        Chapter 18 Probabilistic Classification
        Chapter 19 Decision Tree Classifier
        Chapter 20 Linear Discriminant Analysis
        Chapter 21 Support Vector Machines
        Chapter 22 Classification Assessment

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    • Book Details
      • Book Name : Data Mining and Analysis: Fundamental Concepts and Algorithms

        Edition : 1

        Author : Mohammed J. Zaki , Wagner Meira Jr.

        Publisher : Cambridge University Press

        Category : Computers & Internet

        ISBN-10 : 0521766338

        ISBN-13 : 9780521766333

        ASIN : 0521766338

        Pages : 550

        Language : English

        Publish Date : February 28, 2014
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