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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 1
Knowledge Discovery from Data
Streams
1.1 Introduction
In the last three decades, machine learning research and practice have
focused on batch learning usually using small datasets. In batch learning, the
whole training data is available to the algorithm, which outputs a decision
model after processing the data eventually (or most of the times) multiple
times. The rationale behind this practice is that examples are generated at
random according to some stationary probability distribution. Most learners
use a greedy, hill-climbing search in the space of models. They are prone
to high-variance and overfitting problems. Brain and Webb (2002) poin ...
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Publisher Resources

ISBN: 9781439826126