📖 Adaptive Stream Mining
Saturday, September 8, 2018 by dev
Adaptive Stream Mining
By:Albert Bifet
Published on 2010 by IOS Press
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 Naive 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.|
This Book was ranked at 39 by Google Books for keyword mining.
Book ID of Adaptive Stream Mining's Books is uwiwHFLbbDAC, Book which was written byAlbert Bifethave ETAG "6N7QiCahjWo"
Book which was published by IOS Press since 2010 have ISBNs, ISBN 13 Code is 9781607500902 and ISBN 10 Code is 1607500906
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