loading
Documents

Research.Publish.Connect.

Paper

Authors: Andrea Delgado ; Adriana Marotta ; Laura González ; Libertad Tansini and Daniel Calegari

Affiliation: Instituto de Computación, Facultad de Ingeniería, Universidad de la República, Montevideo, 11300, Uruguay

ISBN: 978-989-758-443-5

Keyword(s): Process Mining, Data Mining, Data Science Framework, Organizational Improvement, Business Intelligence.

Abstract: Organizations face many challenges in obtaining information and value from data for the improvement of their operations. For example, business processes are rarely modeled explicitly, and their data is coupled with business data and implicitly managed by the information systems, hindering a process perspective. This paper presents a proposal of a framework that integrates process and data mining techniques and algorithms, process compliance, data quality, and adequate tools to support evidence-based process improvement in organizations. It aims to help reduce the effort of identification and application of techniques, methodologies, and tools in isolation for each case, providing an integrated approach to guide each operative phase, which will expand the capabilities of analysis, evaluation, and improvement of business processes and organizational data.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.94.21.209

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Delgado, A.; Marotta, A.; González, L.; Tansini, L. and Calegari, D. (2020). Towards a Data Science Framework Integrating Process and Data Mining for Organizational Improvement.In Proceedings of the 15th International Conference on Software Technologies - Volume 1: ICSOFT, ISBN 978-989-758-443-5, pages 492-500. DOI: 10.5220/0009875004920500

@conference{icsoft20,
author={Andrea Delgado. and Adriana Marotta. and Laura González. and Libertad Tansini. and Daniel Calegari.},
title={Towards a Data Science Framework Integrating Process and Data Mining for Organizational Improvement},
booktitle={Proceedings of the 15th International Conference on Software Technologies - Volume 1: ICSOFT,},
year={2020},
pages={492-500},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009875004920500},
isbn={978-989-758-443-5},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Software Technologies - Volume 1: ICSOFT,
TI - Towards a Data Science Framework Integrating Process and Data Mining for Organizational Improvement
SN - 978-989-758-443-5
AU - Delgado, A.
AU - Marotta, A.
AU - González, L.
AU - Tansini, L.
AU - Calegari, D.
PY - 2020
SP - 492
EP - 500
DO - 10.5220/0009875004920500

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.