Two Heuristics for the Tree Poset Cover Problem
- DOI
- 10.2991/978-94-6463-388-7_2How to use a DOI?
- Keywords
- optimization problem; partially ordered sets; heuristics; approximation
- Abstract
The Poset Cover Problem aims to find a minimum set of posets that cover a given input set of linear orders. This problem has practical applications in data mining, particularly in constructing directed networks from sequential data. The decision version of the problem is known to be NP-hard. In this study, we focus on a variant called the Tree Poset Cover Problem, which requires identifying a minimum set of tree posets needed to cover a given input set of linear orders. We propose two polynomial-time heuristics, namely Heuristic 1 and Heuristic 2. Our investigation demonstrates that both heuristics consistently produce feasible solutions and can be classified as approximation algorithms. Furthermore, we empirically evaluate the performance of Heuristic 1 and Heuristic 2 using four datasets.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Willie N. Coronel AU - Joshua Relucio AU - Ivy D. Ordanel AU - Richelle Ann B. Juayong PY - 2024 DA - 2024/02/29 TI - Two Heuristics for the Tree Poset Cover Problem BT - Proceedings of the Workshop on Computation: Theory and Practice (WCTP 2023) PB - Atlantis Press SP - 7 EP - 23 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-388-7_2 DO - 10.2991/978-94-6463-388-7_2 ID - Coronel2024 ER -