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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/107222...
Part of book or chapter of book . 2000 . Peer-reviewed
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DBLP
Conference object . 2025
Data sources: DBLP
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Formalizing Hypotheses with Concepts

Authors: Bernhard Ganter; Sergei O. Kuznetsov;

Formalizing Hypotheses with Concepts

Abstract

The frequently used strategy of forming hypotheses, based on observations, to generate predictions can be formalized in several ways. We study an elaborated approach that has some conceptual flavour and translate the basic ideas in the language of Formal Concept Analysis, blazing the trail for applications to other conceptual structures as well. We investigate the relation to pseudo intents, discuss algorithmic questions, and give an example.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
31
Top 10%
Top 10%
Top 10%
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