Results 41 to 50 of about 73 (69)

Solomon’s Gold Mine: Description or redescription of 24 species of Caridina (Crustacea: Decapoda: Atyidae) freshwater shrimps from the Solomon Islands, including 11 new species.

European Journal of Taxonomy, 2020
Following recent (2014–2017) collections made in the Solomon Islands by the MNHN and the NGO ESSI, we provide a checklist of the species of amphidromous freshwater shrimps of the genus Caridina H. Milne Edwards, 1837 from this region. Using morphological as well as molecular data in an integrative taxonomic perspective, we found a total of 24 species ...
de Mazancourt, Valentin, Boseto, David, Marquet, Gerard, Keith, Philippe   +3 more
openaire   +3 more sources

Redescription mining-based business process deviance analysis

Software and Systems Modeling
AbstractBusiness processes often deviate from their expected or desired behavior. Such deviations can be either positive or negative, depending on whether or not they lead to better process performance. Deviance mining addresses the problem of identifying such deviations and explaining why a process deviates.
Engjëll Ahmeti, Martin Käppel, Stefan Jablonski   +2 more
openaire   +1 more source

Fast Redescription Mining Using Locality-Sensitive Hashing

20 pages, 4 figures, to appear at ECML-PKDD ...
Maiju Karjalainen, Esther Galbrun, Pauli Miettinen   +2 more
openaire   +2 more sources

Serenade: An Approach for Differentially Private Greedy Redescription Mining

, 2023
We present an approach for mining differentially private redescriptions. Applying differential privacy to pattern mining approaches such as redescription mining is less straightforward than with numerical methods, in part because local patterns are more susceptible to the kind of noise inherent to differential privacy, and in part because the typically
Miettinen Pauli Aleksi, Galbrun Esther Catherine, Karjalainen Maiju Ann-Marie   +2 more
openaire   +1 more source

Methods for Redescription Mining

, 2013
In scientific investigations data oftentimes have different nature. For instance, they might originate from distinct sources or be cast over separate terminologies. In order to gain insight into the phenomenon of interest, a natural task is to identify the correspondences that exist between these different aspects.
openaire   +1 more source

Explaining the decisions and the functioning of a convolutional spatiotemporal land cover classifier with channel attention and redescription mining

ISPRS Journal of Photogrammetry and Remote Sensing
Convolutional neural networks trained with satellite image time series have demonstrated their potential in land cover classification in recent years. Nevertheless, the rationale leading to their decisions remains obscure by nature. Methods for providing relevant and simplified explanations of their decisions as well as methods for understanding their ...
Pelous, Enzo, Méger, Nicolas, Benoit, Alexandre, Atto, Abdourrahmane, Ienco, Dino, Courteille, Hermann, Lin-Kwong-Chon, Christophe   +6 more
openaire   +2 more sources

A redescription mining framework for post-hoc explaining and relating deep learning models

Deep learning models (DLMs) achieve increasingly high performance both on structured and unstructured data. They significantly extended applicability of machine learning to various domains. Their success in making predictions, detecting patterns and generating new data made significant impact on science and industry. Despite these accomplishments, DLMs
Mihelčić, Matej, Grubišić, Ivan, Keber, Miha   +2 more
openaire   +2 more sources

A Case of Visual and Interactive Data Analysis: Geospatial Redescription Mining

, 2012
We present a method for visual and interactive geospatial redescription mining. The goal of geospatial redescription mining is to characterize geospatial areas using two different descriptions, such as their bioclimatic features and fauna. Indeed, one application of geospatial redescription mining is finding bioclimatic niches, i.e.
Galbrun, E., Miettinen, P.
openaire   +2 more sources

On the complexity of redescription mining

Theoretical Computer Science, 2023
Redescription mining is an important data mining task with the main goals of discovering subsets of instances that can be characterized in multiple ways and constructing the appropriate characterizations. Such characterizations, presented in a form of tuples of logical formulae, are understandable to the domain experts and offer unique insights in ...
Matej Mihelčić, Adrian Satja Kurdija
openaire   +3 more sources

Interactive redescription set mining and exploration

2023 46th MIPRO ICT and Electronics Convention (MIPRO), 2023
InterSet is a client-server web application that allows targeted and contextual redescription set exploration. The main drawback of this tool is that it uses fixed, precomputed sets of redescriptions to allow obtaining novel knowledge. In this work, we significantly extend the capabilities of InterSet by adding the possibility to create new ...
Iva Kozjak, Matej Mihelčić
openaire   +1 more source