Incremental learning of new classes in unbalanced datasets: Learn ++.UDNC

Gregory Ditzler, Michael D. Muhlbaier, Robi Polikar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Scopus citations

Abstract

We have previously described an incremental learning algorithm, Learn ++.NC, for learning from new datasets that may include new concept classes without accessing previously seen data. We now propose an extension, Learn++.UDNC, that allows the algorithm to incrementally learn new concept classes from unbalanced datasets. We describe the algorithm in detail, and provide some experimental results on two separate representative scenarios (on synthetic as well as real world data) along with comparisons to other approaches for incremental and/or unbalanced dataset approaches.

Original languageEnglish (US)
Title of host publicationMultiple Classifier Systems - 9th International Workshop, MCS 2010, Proceedings
Pages33-42
Number of pages10
DOIs
StatePublished - May 14 2010
Externally publishedYes
Event9th International Workshop on Multiple Classifier Systems, MCS 2010 - Cairo, Egypt
Duration: Apr 7 2010Apr 9 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5997 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Workshop on Multiple Classifier Systems, MCS 2010
CountryEgypt
CityCairo
Period4/7/104/9/10

Keywords

  • Ensembles of classifiers
  • Incremental learning
  • Learn
  • Unbalanced data

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Ditzler, G., Muhlbaier, M. D., & Polikar, R. (2010). Incremental learning of new classes in unbalanced datasets: Learn ++.UDNC. In Multiple Classifier Systems - 9th International Workshop, MCS 2010, Proceedings (pp. 33-42). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5997 LNCS). https://doi.org/10.1007/978-3-642-12127-2-4