Abstract：
:The investigation of object-by-attribute matrices is very common in statistics and data analysis with the aim of uncovering every possible relationship among objects and/or attributes. Formal Concept Analysis (FCA) is a method, which stems directly from partial order and lattice theory, which provides an efficient tool to symmetrically uncover linkages among objects and attributes whenever a relation stands among the two sets. It provides efficacious graphical representation and computes association rules between attributes, thus helping in the detection of possible synergism or antagonism of attributes. In this paper, FCA potentialities are discussed and described by means of a case study already investigated by other partial order techniques: the case of Lake Ontario sediment samples. Data derive from a 'test battery' for a simultaneous analysis of degradation of Lake Ontario samples, which are basically of two typologies: hygienic and toxicity tests. A multi-valued approach is adopted to cope with the ordinal feature of data. Results highlight interesting interaction among hygienic compounds and a synergism between the two toxicity tests.
journal_name
Chemospherejournal_title
Chemosphereauthors
Annoni P,Brüggemann Rdoi
10.1016/j.chemosphere.2007.09.019subject
Has Abstractpub_date
2008-02-01 00:00:00pages
2025-31issue
11eissn
0045-6535issn
1879-1298pii
S0045-6535(07)01156-3journal_volume
70pub_type
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