On Unsupervised and Supervised Discretisation in Mining Stylometric Features

Urszula Stańczyk

doi:10.1007/978-3-030-31964-9_15

On Unsupervised and Supervised Discretisation in Mining Stylometric Features

Urszula Stańczyk

Department of Graphics, Computer Vision and Digital Systems (RAU/RAU6)

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

4 Citations (Scopus)

Abstract

Writing styles can be described by stylometric features. They are quantitative in nature, often continuous, which either limits techniques used in mining to those capable of calculations on this form, or adds discretisation to initial pre-processing of data. The paper describes research on unsupervised and supervised discretisation applied in the stylometric domain for the task of authorship attribution. The recognition of authorship is executed as classification performed by chosen inducers capable of operating on both continuous and categorical attributes.

Original language	English
Title of host publication	Man-Machine Interactions 6 - 6th International Conference on Man-Machine Interactions, ICMMI 2019
Editors	Aleksandra Gruca, Sebastian Deorowicz, Katarzyna Harezlak, Agnieszka Piotrowska, Tadeusz Czachórski
Publisher	Springer
Pages	156-166
Number of pages	11
ISBN (Print)	9783030319632
DOIs	https://doi.org/10.1007/978-3-030-31964-9_15
Publication status	Published - 2020
Event	6th International Conference on Man-Machine Interactions, ICMMI 2019 - Cracow, Poland Duration: 2 Oct 2019 → 3 Oct 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1061
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	6th International Conference on Man-Machine Interactions, ICMMI 2019
Country/Territory	Poland
City	Cracow
Period	2/10/19 → 3/10/19

Keywords

Authorship attribution
Feature
Stylometry
Supervised discretisation
Unsupervised discretisation

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-3-030-31964-9_15

Cite this

Stańczyk, U. (2020). On Unsupervised and Supervised Discretisation in Mining Stylometric Features. In A. Gruca, S. Deorowicz, K. Harezlak, A. Piotrowska, & T. Czachórski (Eds.), Man-Machine Interactions 6 - 6th International Conference on Man-Machine Interactions, ICMMI 2019 (pp. 156-166). (Advances in Intelligent Systems and Computing; Vol. 1061). Springer. https://doi.org/10.1007/978-3-030-31964-9_15

Stańczyk, Urszula. / On Unsupervised and Supervised Discretisation in Mining Stylometric Features. Man-Machine Interactions 6 - 6th International Conference on Man-Machine Interactions, ICMMI 2019. editor / Aleksandra Gruca ; Sebastian Deorowicz ; Katarzyna Harezlak ; Agnieszka Piotrowska ; Tadeusz Czachórski. Springer, 2020. pp. 156-166 (Advances in Intelligent Systems and Computing).

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abstract = "Writing styles can be described by stylometric features. They are quantitative in nature, often continuous, which either limits techniques used in mining to those capable of calculations on this form, or adds discretisation to initial pre-processing of data. The paper describes research on unsupervised and supervised discretisation applied in the stylometric domain for the task of authorship attribution. The recognition of authorship is executed as classification performed by chosen inducers capable of operating on both continuous and categorical attributes.",

keywords = "Authorship attribution, Feature, Stylometry, Supervised discretisation, Unsupervised discretisation",

author = "Urszula Sta{\'n}czyk",

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series = "Advances in Intelligent Systems and Computing",

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editor = "Aleksandra Gruca and Sebastian Deorowicz and Katarzyna Harezlak and Agnieszka Piotrowska and Tadeusz Czach{\'o}rski",

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Stańczyk, U 2020, On Unsupervised and Supervised Discretisation in Mining Stylometric Features. in A Gruca, S Deorowicz, K Harezlak, A Piotrowska & T Czachórski (eds), Man-Machine Interactions 6 - 6th International Conference on Man-Machine Interactions, ICMMI 2019. Advances in Intelligent Systems and Computing, vol. 1061, Springer, pp. 156-166, 6th International Conference on Man-Machine Interactions, ICMMI 2019, Cracow, Poland, 2/10/19. https://doi.org/10.1007/978-3-030-31964-9_15

On Unsupervised and Supervised Discretisation in Mining Stylometric Features. / Stańczyk, Urszula.
Man-Machine Interactions 6 - 6th International Conference on Man-Machine Interactions, ICMMI 2019. ed. / Aleksandra Gruca; Sebastian Deorowicz; Katarzyna Harezlak; Agnieszka Piotrowska; Tadeusz Czachórski. Springer, 2020. p. 156-166 (Advances in Intelligent Systems and Computing; Vol. 1061).

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

TY - GEN

T1 - On Unsupervised and Supervised Discretisation in Mining Stylometric Features

AU - Stańczyk, Urszula

PY - 2020

Y1 - 2020

N2 - Writing styles can be described by stylometric features. They are quantitative in nature, often continuous, which either limits techniques used in mining to those capable of calculations on this form, or adds discretisation to initial pre-processing of data. The paper describes research on unsupervised and supervised discretisation applied in the stylometric domain for the task of authorship attribution. The recognition of authorship is executed as classification performed by chosen inducers capable of operating on both continuous and categorical attributes.

AB - Writing styles can be described by stylometric features. They are quantitative in nature, often continuous, which either limits techniques used in mining to those capable of calculations on this form, or adds discretisation to initial pre-processing of data. The paper describes research on unsupervised and supervised discretisation applied in the stylometric domain for the task of authorship attribution. The recognition of authorship is executed as classification performed by chosen inducers capable of operating on both continuous and categorical attributes.

KW - Authorship attribution

KW - Feature

KW - Stylometry

KW - Supervised discretisation

KW - Unsupervised discretisation

UR - https://www.scopus.com/pages/publications/85075881166

U2 - 10.1007/978-3-030-31964-9_15

DO - 10.1007/978-3-030-31964-9_15

M3 - Conference contribution

AN - SCOPUS:85075881166

SN - 9783030319632

T3 - Advances in Intelligent Systems and Computing

SP - 156

EP - 166

BT - Man-Machine Interactions 6 - 6th International Conference on Man-Machine Interactions, ICMMI 2019

A2 - Gruca, Aleksandra

A2 - Deorowicz, Sebastian

A2 - Harezlak, Katarzyna

A2 - Piotrowska, Agnieszka

A2 - Czachórski, Tadeusz

PB - Springer

T2 - 6th International Conference on Man-Machine Interactions, ICMMI 2019

Y2 - 2 October 2019 through 3 October 2019

ER -

Stańczyk U. On Unsupervised and Supervised Discretisation in Mining Stylometric Features. In Gruca A, Deorowicz S, Harezlak K, Piotrowska A, Czachórski T, editors, Man-Machine Interactions 6 - 6th International Conference on Man-Machine Interactions, ICMMI 2019. Springer. 2020. p. 156-166. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-31964-9_15

On Unsupervised and Supervised Discretisation in Mining Stylometric Features

Abstract

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Keywords

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