On the public citation graph
Partition Dependencies in Hierarchies of Probabilistic Decision Tables
0 signed · 18 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11548669_20openalex-snapshot
Incremental Attribute Reduction Based on Elementary Sets
inferredcites →https://doi.org/10.1007/11548669_33openalex-snapshot
Rough Membership and Bayesian Confirmation Measures for Parameterized Rough Sets
inferredcites →https://doi.org/10.1016/0022-0000(93)90048-2openalex-snapshot
Variable precision rough set model
inferredcites →https://doi.org/10.1016/j.ijar.2004.11.004openalex-snapshot
The investigation of the Bayesian rough set model
inferredcites →https://doi.org/10.1016/s0020-7373(88)80032-4openalex-snapshot
Rough sets: probabilistic versus deterministic approach
inferredcites →https://doi.org/10.1109/fuzz.2002.1005092openalex-snapshot
Acquisition of hierarchy-structured probabilistic decision tables and rules from data
inferredcites →https://doi.org/10.1111/1468-0394.00253openalex-snapshot
Probabilistic approaches to rough sets
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-1-0716-2628-3_719openalex-snapshot
Variable Precision Approximations of Rough Sets
inferred← citeshttps://doi.org/10.1007/978-3-540-73451-2_37openalex-snapshot
Rough Set Approach to Spam Filter Learning
inferred← citeshttps://doi.org/10.1007/978-3-540-88425-5_41openalex-snapshot
Experiments with Rough Set Approach to Face Recognition
inferred← citeshttps://doi.org/10.1007/978-3-642-13529-3_38openalex-snapshot
Rough Set-Based Incremental Learning Approach to Face Recognition
inferred← citeshttps://doi.org/10.1007/978-3-642-27737-5_719-1openalex-snapshot
Variable Precision Approximations of Rough Sets
inferred← citeshttps://doi.org/10.1007/978-3-662-45620-0_6openalex-snapshot
Dependency Analysis and Attribute Reduction in the Probabilistic Approach to Rough Sets
inferred← citeshttps://doi.org/10.1109/grc.2007.155openalex-snapshot
Evaluation of Learning Costs of Rule Evaluation Models Based on Objective Indices to Predict Human Hypothesis Construction Phases
inferred← citeshttps://doi.org/10.1109/grc.2007.32openalex-snapshot
The Study of Normal Form of Relational Database Based on Rough Sets Theory
inferred← citeshttps://doi.org/10.3233/fi-2013-904openalex-snapshot
Weak Dependencies in Approximation Spaces
inferred← citeshttps://doi.org/10.82465/6284openalex-snapshot
A Rough Set Approach to Face Recognition
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.