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Domingo López Rodríguez

Professor at the Department of Applied Mathematics, University of Málaga.

My recent work focuses on Formal Concept Analysis (FCA) and its applications in data science and knowledge discovery.

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fcaR Package

Formal Concept Analysis in R. A comprehensive toolset for FCA including formal contexts, concept lattices, and implications.

Teaching

Teaching materials and resources for undergraduate and graduate courses in Mathematics and Engineering.

Publications

A complete list of my scientific tracking, including journal papers, conference proceedings, and book chapters.

Latest Updates

Divide and conquer... the 'if-then' rules in your data
Divide and conquer... the 'if-then' rules in your data
The 'CARVE' algorithm is a super-fast 'divide-and-conquer' method for finding data concepts. We upgraded it to 'CARVE+' so it can find all the 'if-then' logical rules at the same time, giving us the best of both worlds.
19 April 2025
We built an open-source tool to find a city's worst 'heat island' hotspots
We built an open-source tool to find a city's worst 'heat island' hotspots
We present URSUS_UHI, a new open-source software tool that helps urban planners automatically find the most unfavourable areas in a city: the places with the highest temperatures and the least green space.
1 February 2025
Beyond just 'correct': new logic rules to make data insights easier to read
Beyond just 'correct': new logic rules to make data insights easier to read
Our previous work created a logic to find correct rules from positive and negative data. Now, we've added new logical equivalences to 'shrink' those rules, making them shorter, simpler, and more useful for humans.
18 January 2025
Real-world data is vague: a new method for analyzing time series with fuzzy numbers
Real-world data is vague: a new method for analyzing time series with fuzzy numbers
A stock price isn't just a point, it has volatility. We introduce a new method to convert standard time series into 'fuzzy time series' to better model and analyze this real-world uncertainty.
15 January 2025
Malware names are a mess: we used fca to build a 'family tree' for threats
Malware names are a mess: we used fca to build a 'family tree' for threats
Different antivirus tools call the same threat different names. We used Formal Concept Analysis (FCA) to automatically build a unified, logical hierarchy from this chaos, making malware easier to track.
1 September 2024
Malware names are a mess: we used fca to build a 'family tree' for threats
Malware names are a mess: we used fca to build a 'family tree' for threats
Different antivirus tools call the same threat different names. We used Formal Concept Analysis (FCA) to automatically build a unified, logical hierarchy from this chaos, making malware easier to track.
1 September 2024
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