Mining Complex Ecological Patterns in Protected Areas: An FP-Growth Approach to Conservation Rule Discovery

Mining Complex Ecological Patterns in Protected Areas: An FP-Growth Approach to Conservation Rule Discovery

This study introduces a data-driven framework for enhancing the sustainable management of fish species in Romania’s Natura 2000 protected areas through ecosystem modeling and association rule mining (ARM). Drawing on seven years of ecological monitoring data for 13 fish species of ecological and soc...

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Bibliographic Details
Main Authors: Ioan Daniel Hunyadi, Cristina Cismaș
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Entropy
Subjects:
ecological information systems
fish species distribution modeling
association rule mining
entropy-based data analysis
complex ecosystem patterns
protected area management
Online Access:https://www.mdpi.com/1099-4300/27/7/725
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