Pitfalls in benchmarking data stream classification and how to avoid them

Albert Bifet; Jesse Read; Indre Zliobaite; Bernhard Pfahringer; Geoff Holmes

Pitfalls in benchmarking data stream classification and how to avoid them

Albert Bifet, Jesse Read, Indre Zliobaite, Bernhard Pfahringer, Geoff Holmes

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

55 Citations (Scopus)

Original language	English
Title of host publication	the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECMLPKDD, Czech Republic, September 23 -27, 2013
Pages	465-479
Publication status	Published - 2013
MoE publication type	A4 Article in a conference publication

Cite this

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title = "Pitfalls in benchmarking data stream classification and how to avoid them",

author = "Albert Bifet and Jesse Read and Indre Zliobaite and Bernhard Pfahringer and Geoff Holmes",

note = "VK: algodan hiit",

year = "2013",

language = "English",

isbn = "978-3-642-40987-5",

pages = "465--479",

booktitle = "the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECMLPKDD, Czech Republic, September 23 -27, 2013",

}

Pitfalls in benchmarking data stream classification and how to avoid them. / Bifet, Albert; Read, Jesse; Zliobaite, Indre; Pfahringer, Bernhard; Holmes, Geoff.

the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECMLPKDD, Czech Republic, September 23 -27, 2013. 2013. p. 465-479.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Pitfalls in benchmarking data stream classification and how to avoid them

AU - Bifet, Albert

AU - Read, Jesse

AU - Zliobaite, Indre

AU - Pfahringer, Bernhard

AU - Holmes, Geoff

N1 - VK: algodan hiit

PY - 2013

Y1 - 2013

M3 - Conference contribution

SN - 978-3-642-40987-5

SP - 465

EP - 479

BT - the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECMLPKDD, Czech Republic, September 23 -27, 2013

ER -