A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Pitfalls in Benchmarking Data Stream Classification and How to Avoid Them
[chapter]
2013
Lecture Notes in Computer Science
Data stream classification plays an important role in modern data analysis, where data arrives in a stream and needs to be mined in real time. In the data stream setting the underlying distribution from which this data comes may be changing and evolving, and so classifiers that can update themselves during operation are becoming the state-of-the-art. In this paper we show that data streams may have an important temporal component, which currently is not considered in the evaluation and
doi:10.1007/978-3-642-40988-2_30
fatcat:irwwo5tsfffujo43sydetioo7y