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CITATION.cff
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cff-version: 1.2.0
message: "Please cite this book as below."
title: "Data Fusion: Theory, Methods, and Applications"
repository-code: "https://github.com/gagolews/datafusion"
abstract: >
A proper fusion of complex data is of interest to many researchers
in diverse fields, including computational statistics, computational
geometry, bioinformatics, machine learning, pattern recognition,
quality management, engineering, statistics, finance, economics, etc.
It plays a crucial role in: synthetic description of data processes
or whole domains, creation of rule bases for approximate reasoning
tasks, reaching consensus and selection of the optimal strategy in
decision support systems, imputation of missing values, data
deduplication and consolidation, record linkage across heterogeneous
databases, and clustering. This open-access research monograph
integrates the spread-out results from different domains using the
methodology of the well-established classical aggregation framework,
introduces researchers and practitioners to Aggregation 2.0,
as well as points out the challenges and interesting directions
for further research.
keywords:
- data aggregation
- data fusion
- means
- t-norms
- spread measures
- multidimensional data
- strings
authors:
- family-names: Gagolewski
given-names: Marek
orcid: "https://orcid.org/0000-0003-0637-6028"
website: "https://www.gagolewski.com"
preferred-citation:
type: book
year: 2015
title: "Data Fusion: Theory, Methods, and Applications"
isbn: "978-83-63159-20-7"
doi: 10.5281/zenodo.6960306
publisher:
name: "Institute of Computer Science, Polish Academy of Sciences"
city: Warsaw
authors:
- family-names: Gagolewski
given-names: Marek
orcid: "https://orcid.org/0000-0003-0637-6028"
website: "https://www.gagolewski.com"