On the interaction between feature selection and parameter determination in fuzzy modelling

Peipei Chen, Caro Fuchs, Anna Wilbik, Tak Ming Chan, Saskia van Loon, Arjen Kars Boer, Xudong Lu, Volkher Scharnhorst, Uzay Kaymak

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

1 Citation (Scopus)
5 Downloads (Pure)

Abstract

Nowadays the amount of data that is collected in various settings is growing rapidly. These elaborate data records enable the training of machine learning models that can be used to extract insights and for making better informed decisions. When doing the data mining task, on one hand, feature selection is often used to reduce the dimensionality of the data. On the other hand, we need to decide the structure (parameters) of the model when building the model. However, feature selection and the parameters of the model may interact and affect the performance of the model. Therefore, it is difficult to decide the optimal parameter and the optimal feature subset without an exhaustive search of all the combination of the parameters and the feature subsets which is time-consuming. In this paper, we study how the interaction between feature selection and the parameters of a model affect the performance of the model through experiments on four data sets.

Original languageEnglish
Title of host publicationInformation Processing and Management of Uncertainty in Knowledge-Based Systems. Applications - 17th International Conference, IPMU 2018, Proceedings
Subtitle of host publication17th International Conference, IPMU 2018, Cádiz, Spain, June 11-15, 2018, Proceedings, Part III
EditorsJ. Medina, I. Perfilieva, R.R. Yager
Place of PublicationDordrecht
PublisherSpringer
Pages150-161
Number of pages12
ISBN (Electronic)978-3-319-91479-4
ISBN (Print)978-3-319-91478-7
DOIs
Publication statusPublished - 1 Jan 2018
Event17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2018) - Cadiz, Spain
Duration: 11 Jun 201815 Jun 2018
Conference number: 17

Publication series

NameCommunications in Computer and Information Science
Volume855
ISSN (Print)1865-0929

Conference

Conference17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2018)
Abbreviated titleIPMU 2018
Country/TerritorySpain
CityCadiz
Period11/06/1815/06/18

Funding

Acknowledgement. This work is partially supported by Philips Research within the scope of the BrainBridge Program.

Keywords

  • Feature selection
  • Fuzzy models
  • Model parameters
  • Number of clusters

Fingerprint

Dive into the research topics of 'On the interaction between feature selection and parameter determination in fuzzy modelling'. Together they form a unique fingerprint.

Cite this