Skip to Main Content
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 9
Novelty Detection in Data Streams
Novelty detection is a learning task that consists of the identification of new
or unknown concepts that the learning system is not aware of during training.
This is one of the fundamental requirements of a good classification or iden-
tification system, since sometimes the test data contain information about
concepts that were not known at the time of training the model. In time-
dependent applications, novelty detection represents an important challenge,
since concepts are hardly ever constant. This chapter surveys the major ap-
proaches for the detection of novelty in data streams.
1
9.1 Introduction
Novelty
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Reinventing the Organization for GenAI and LLMs

Reinventing the Organization for GenAI and LLMs

Ethan Mollick

Publisher Resources

ISBN: 9781439826126