A new version of this entry is available:
Abstract (English)
Systematic pattern recognition as well as the corresponding description of determined patterns entail numerous challenges in the application context of high-dimensional communication data. These can cause increased effort, especially with regard to machine-based processing concerning the determination of regularities in underlying datasets. Due to the increased expansion of dimensions in multidimensional data spaces, determined patterns are no longer interpretable by humans. Taking these challenges into account, this paper investigates to what extent pre-defined communication patterns can be interpreted for the application area of high-dimensional business communication data. An analytical perspective is considered by taking into account a holistic research approach and by subsequently applying selected Machine Learning methods from Association Rule Discovery, Topic Modelling and Decision Trees with regard to the overall goal of semi-automated pattern labelling. The results show that meaningful descriptions can be derived for the interpretation of pre-defined patterns.
File is subject to an embargo until
This is a correction to:
A correction to this entry is available:
This is a new version of:
Other version
Notes
Publication license
Publication series
Published in
Group decision and negotiation, 31 (2022), 6, 1203-1234.
https://doi.org/10.1007/s10726-022-09800-2.
ISSN: 1572-9907
Other version
Faculty
Institute
Examination date
Supervisor
Cite this publication
Kaya, M.-F. (2022). Pattern labelling of business communication data. Group decision and negotiation, 31(6). https://doi.org/10.1007/s10726-022-09800-2
Edition / version
Citation
DOI
ISSN
ISBN
Language
English
Publisher
Publisher place
Classification (DDC)
000 Computer science, information and general works
Collections
Original object
University bibliography
Free keywords
Business communication data Machine learning Pattern recognition Pattern labelling Association rule discovery Topic modelling Decision tree Information and computing sciences
Standardized keywords (GND)
Sustainable Development Goals
BibTeX
@article{Kaya2022,
doi = {10.1007/s10726-022-09800-2},
author = {Kaya, Muhammed-Fatih},
title = {Pattern labelling of business communication data},
journal = {Group decision and negotiation},
year = {2022-10-28},
volume = {31},
number = {6},
pages = {1203--1234},
}