What is concept drift and how to measure it?

Shenghui Wang*, Stefan Schlobach, Michel Klein

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

15 Citations (Scopus)

Abstract

This paper studies concept drift over time. We first define the meaning of a concept in terms of intension, extension and label. We then introduce concept drift over time and two derived notions: (in)stability over a time period and concept shift between two time points. We apply our framework in three case-studies, one from communication science, on DBPedia, and one in the legal domain. We describe ways of identifying interesting changes in the meaning of concept within given application contexts. These case-studies illustrate the feasibility of our framework in analysing concept drift in knowledge organisation schemas of varying expressiveness.

Original languageEnglish
Title of host publicationKnowledge Engineering and Management by the Masses - 17th International Conference, EKAW 2010, Proceedings
Pages241-256
Number of pages16
DOIs
Publication statusPublished - 22 Dec 2010
Externally publishedYes
Event17th International Conference on Knowledge Engineering and Management by the Masses, EKAW 2010 - Lisbon, Portugal
Duration: 11 Oct 201015 Oct 2010
Conference number: 17

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6317 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th International Conference on Knowledge Engineering and Management by the Masses, EKAW 2010
Abbreviated titleEKAW 2010
CountryPortugal
CityLisbon
Period11/10/1015/10/10

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  • Cite this

    Wang, S., Schlobach, S., & Klein, M. (2010). What is concept drift and how to measure it? In Knowledge Engineering and Management by the Masses - 17th International Conference, EKAW 2010, Proceedings (pp. 241-256). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6317 LNAI). https://doi.org/10.1007/978-3-642-16438-5_17