We present a novel approach for data set scaling based on scale-measures from formal concept analysis, i.e., continuous maps between closure systems, for which we derive a canonical representation. Moreover, we prove that scale-measures can be lattice ordered using the canonical representation. This enables exploring the set of scale-measures by the use of meet and join operations. Furthermore we show that the lattice of scale-measures is isomorphic to the lattice of sub-closure systems that arises from the original data. Finally, we provide another representation of scale-measures using propositional logic in terms of data set features. Our theoretical findings are discussed by means of examples.
%0 Journal Article
%1 HANIKA2022453
%A Hanika, Tom
%A Hirth, Johannes
%D 2022
%J Information Sciences
%K 2022 FCA Lattice Measurements itegpub kde kdepub lattice measurement myown publist scale-measure scaling
%P 453-468
%R https://doi.org/10.1016/j.ins.2022.09.005
%T On the lattice of conceptual measurements
%U https://www.sciencedirect.com/science/article/pii/S0020025522010489
%V 613
%X We present a novel approach for data set scaling based on scale-measures from formal concept analysis, i.e., continuous maps between closure systems, for which we derive a canonical representation. Moreover, we prove that scale-measures can be lattice ordered using the canonical representation. This enables exploring the set of scale-measures by the use of meet and join operations. Furthermore we show that the lattice of scale-measures is isomorphic to the lattice of sub-closure systems that arises from the original data. Finally, we provide another representation of scale-measures using propositional logic in terms of data set features. Our theoretical findings are discussed by means of examples.
@article{HANIKA2022453,
abstract = {We present a novel approach for data set scaling based on scale-measures from formal concept analysis, i.e., continuous maps between closure systems, for which we derive a canonical representation. Moreover, we prove that scale-measures can be lattice ordered using the canonical representation. This enables exploring the set of scale-measures by the use of meet and join operations. Furthermore we show that the lattice of scale-measures is isomorphic to the lattice of sub-closure systems that arises from the original data. Finally, we provide another representation of scale-measures using propositional logic in terms of data set features. Our theoretical findings are discussed by means of examples.},
added-at = {2022-09-28T00:14:02.000+0200},
author = {Hanika, Tom and Hirth, Johannes},
biburl = {https://www.bibsonomy.org/bibtex/2752bc4553487e6472b22faf56e744cad/tomhanika},
doi = {https://doi.org/10.1016/j.ins.2022.09.005},
interhash = {ecd4e48ac83c8aea9197f7e3d861b032},
intrahash = {752bc4553487e6472b22faf56e744cad},
issn = {0020-0255},
journal = {Information Sciences},
keywords = {2022 FCA Lattice Measurements itegpub kde kdepub lattice measurement myown publist scale-measure scaling},
pages = {453-468},
timestamp = {2022-09-28T00:14:02.000+0200},
title = {On the lattice of conceptual measurements},
url = {https://www.sciencedirect.com/science/article/pii/S0020025522010489},
volume = 613,
year = 2022
}