[PDF] Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams Free Download

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      • [PDF] Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams Free Download by A. Bifet | Publisher : IOS Press | Category : Computers & Internet | Tags : Design, Algorithms, Patterns, E Commerce, Computer, Xml | ISBN-10 : 1607500906 | ISBN-13 : 9781607500902
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      • Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams by A. Bifet, Publisher : IOS Press
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      • This book is a significant contribution to the subject of mining time-changing data streams and addresses the design of learning algorithms for this purpose. It introduces new contributions on several different aspects of the problem, identifying research opportunities and increasing the scope for applications. It also includes an in-depth study of stream mining and a theoretical analysis of proposed methods and algorithms. The first section is concerned with the use of an adaptive sliding window algorithm (ADWIN). Since this has rigorous performance guarantees, using it in place of counters or accumulators, it offers the possibility of extending such guarantees to learning and mining algorithms not initially designed for drifting data. Testing with several methods, including NaA¯ve Bayes, clustering, decision trees and ensemble methods, is discussed as well. The second part of the book describes a formal study of connected acyclic graphs, or trees, from the point of view of closure-based mining, presenting efficient algorithms for subtree testing and for mining ordered and unordered frequent closed trees. Lastly, a general methodology to identify closed patterns in a data stream is outlined. This is applied to develop an incremental method, a sliding-window based method, and a method that mines closed trees adaptively from data streams. These are used to introduce classification methods for tree data streams.

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        Table of Contents

        Part 1: Introduction and Preliminaries
        Chapter 1: Introduction
        Chapter 2: Preliminaries

        Part 2: Evolving Data Stream Learning
        Chapter 3: Mining Evolving Data Streams
        Chapter 4: Adaptive Sliding Windows
        Chapter 5: Decision Trees
        Chapter 6: Ensemble Methods

        Part 3: Closed Frequent Tree Mining
        Chapter 7: Mining Frequent Closed Rooted Trees
        Chapter 8: Mining Implications from Lattices of Closed Trees

        Part 4: Evolving Tree Data Stream Mining
        Chapter 9: Mining Adaptively Frequent Closed Rooted Trees
        Chapter 10: Adaptive XML Tree Classification

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    • Book Details
      • Book Name : Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams

        Edition : 1

        Author : A. Bifet

        Publisher : IOS Press

        Category : Computers & Internet

        ISBN-10 : 1607500906

        ISBN-13 : 9781607500902

        ASIN : 1607500906

        Pages : 224

        Language : English

        Publish Date : February 15, 2010
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