Monotonicity of the χ2-statistic and Feature Selection
| dc.contributor.author | Kamalov, Firuz | |
| dc.contributor.author | Leung, Ho Hon | |
| dc.contributor.author | Moussa, Sherif | |
| dc.date.accessioned | 2020-12-12T05:58:50Z | |
| dc.date.available | 2020-12-12T05:58:50Z | |
| dc.date.copyright | © 2020 | |
| dc.date.issued | 2022 | |
| dc.description | This article is not available at CUD collection. The version of scholarly record of this article is published in Annals of Data Science (2020), available online at: https://doi.org/10.1007/s40745-020-00251-7 | en_US |
| dc.description.abstract | Feature selection is an important preprocessing step in analyzing large scale data. In this paper, we prove the monotonicity property of the χ2-statistic and use it to construct a more robust feature selection method. In particular, we show that χY,X12≤χY,(X1,X2)2. This result indicates that a new feature should be added to an existing feature set only if it increases the χ2-statistic beyond a certain threshold. Our stepwise feature selection algorithm significantly reduces the number of features considered at each stage making it more efficient than other similar methods. In addition, the selection process has a natural stopping point thus eliminating the need for user input. Numerical experiments confirm that the proposed algorithm can significantly reduce the number of features required for classification and improve classifier accuracy. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature. | en_US |
| dc.identifier.citation | Kamalov, F., Leung, H. H., & Moussa, S. (2022). Monotonicity of the χ2 -statistic and feature selection. Annals of Data Science, 9(6), 1223-1241. https://doi.org/10.1007/s40745-020-00251-7 | en_US |
| dc.identifier.issn | 21985804 | |
| dc.identifier.uri | https://doi.org/10.1007/s40745-020-00251-7 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12519/299 | |
| dc.language.iso | en | en_US |
| dc.publisher | Springer Science and Business Media Deutschland GmbH | en_US |
| dc.relation | Authors Affiliations : Kamalov, F., Canadian University Dubai, Dubai, United Arab Emirates; Leung, H.H., UAE University, Al Ain, United Arab Emirates; Moussa, S., Canadian University Dubai, Dubai, United Arab Emirates | |
| dc.relation.ispartofseries | Annals of Data Science; Volume 9, Issue 6 | |
| dc.rights | Permission to reuse the abstract has been secured from Springer Science and Business Media Deutschland GmbH | |
| dc.rights.holder | Copyright : © 2020, Springer-Verlag GmbH Germany, part of Springer Nature. | |
| dc.subject | Big data | en_US |
| dc.subject | Feature selection | en_US |
| dc.subject | Machine learning | en_US |
| dc.subject | χ2-statistic | en_US |
| dc.title | Monotonicity of the χ2-statistic and Feature Selection | en_US |
| dc.type | Article | en_US |