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Knowledge Discovery from Data Streams
book

Knowledge Discovery from Data Streams

by Joao Gama
May 2010
Intermediate to advanced content levelIntermediate to advanced
255 pages
8h 11m
English
Chapman and Hall/CRC
Content preview from Knowledge Discovery from Data Streams
Chapter 5
Evaluating Streaming Algorithms
Nowadays, several stream learning algorithms have been developed. Most of
them learn decision models that continuously evolve over time, run in resource-
aware environments, and detect and react to changes in the environment gen-
erating data. One important issue, not yet conveniently addressed, is the de-
sign of experimental work to evaluate and compare decision models that evolve
over time. In this chapter we present a general framework for assessing the
quality of streaming learning algorithms. We defend the use of Predictive Se-
quential error estimates over a sliding window to assess performance of learn- ...
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Publisher Resources

ISBN: 9781439826126