Ant-based clustering for flow graph mining

DOI10.34768/amcs-2020-0041zbMath1503.68245OpenAlexW3112329819MaRDI QIDQ2023613

Krzysztof Pancerz, Arkadiusz Lewicki

Publication date: 3 May 2021

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

Full work available at URL: https://content.sciendo.com/view/journals/amcs/30/3/article-p561.xml

zbMATH Keywords

rough setsfuzzy setsflow graphsant-based clusteringpossibly certain sequences

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Graph theory (including graph drawing) in computer science (68R10) Knowledge representation (68T30) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (1)

ASA-graphs for efficient data representation and processing

Uses Software

• Graphviz
• Dynagraph

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Ant-based extraction of rules in simple decision systems over ontological graphs
• Triangular norms
• Economic modeling using artificial intelligence methods
• Sequence data mining. Forward by Professor Jiawei Han
• An Approach to Parameterized Approximation of Crisp and Fuzzy Sets
• Temporal Data Mining
• Paradigmatic and Syntagmatic Relations in Information Systems over Ontological Graphs
• Ant-Based Clustering in Delta Episode Information Systems Based on Temporal Rough Set Flow Graphs
• Transactions on Rough Sets III

This page was built for publication: Ant-based clustering for flow graph mining