On the public citation graph

An Integration of Rule Induction and Exemplar-Based Learning for Graded Concepts

https://doi.org/10.1007/bf00993592
0 signed · 33 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.
Claim with ORCID
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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1006/ijhc.1987.0321openalex-snapshot
Simplifying decision trees
inferredcites →https://doi.org/10.1007/978-3-662-12405-5openalex-snapshot
Machine Learning
inferredcites →https://doi.org/10.1007/978-3-662-12405-5_4openalex-snapshot
A Theory and Methodology of Inductive Learning
inferredcites →https://doi.org/10.1007/bf00114264openalex-snapshot
Experiments with Incremental Concept Formation: UNIMEM
inferredcites →https://doi.org/10.1007/bf00114779openalex-snapshot
A Nearest Hyperrectangle Learning Method
inferredcites →https://doi.org/10.1007/bf00116251openalex-snapshot
Induction of Decision Trees
inferredcites →https://doi.org/10.1007/bf00116835openalex-snapshot
The CN2 Induction Algorithm
inferredcites →https://doi.org/10.1007/bf00153759openalex-snapshot
Instance-Based Learning Algorithms
inferredcites →https://doi.org/10.1016/0010-0285(75)90024-9openalex-snapshot
Family resemblances: Studies in the internal structure of categories
inferredcites →https://doi.org/10.1016/0167-7136(83)90132-4openalex-snapshot
A theory and methodology of inductive learning
inferredcites →https://doi.org/10.1016/b978-0-08-051055-2.50007-9openalex-snapshot
LEARNING FLEXIBLE CONCEPTS
inferredcites →https://doi.org/10.1016/b978-0-934613-41-5.50009-xopenalex-snapshot
How to Learn Imprecise Concepts: A Method for Employing a Two-Tiered Knowledge Representation in Learning
inferredcites →https://doi.org/10.1016/b978-1-55860-200-7.50040-4openalex-snapshot
ID2-of-3: Constructive Induction of M-of-N Concepts for Discriminators in Decision Trees
inferredcites →https://doi.org/10.1016/b978-1-55860-247-2.50066-8openalex-snapshot
Selecting Typical Instances in Instance-Based Learning
inferredcites →https://doi.org/10.1016/c2013-0-07174-5openalex-snapshot
Exemplar-Based Knowledge Acquisition
inferredcites →https://doi.org/10.1016/s0020-7373(87)80053-6openalex-snapshot
Simplifying decision trees
inferredcites →https://doi.org/10.1023/a:1022682318197openalex-snapshot
Learning Two-Tiered Descriptions of Flexible Concepts: The POSEIDON System
inferredcites →https://doi.org/10.1023/a:1022699900025openalex-snapshot
Incremental Induction of Decision Trees
inferredcites →https://doi.org/10.1037//0278-7393.11.1-4.629openalex-snapshot
Ideals, central tendency, and frequency of instantiation as determinants of graded structure in categories.
inferredcites →https://doi.org/10.2307/1422151openalex-snapshot
Categories and Concepts
inferredcites →https://doi.org/10.4159/harvard.9780674866270openalex-snapshot
Categories and Concepts

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/9781119759614.ch7openalex-snapshot
Distance‐based Method
inferred← citeshttps://doi.org/10.1002/isaf.197openalex-snapshot
Evaluating business credit risk by means of approach‐integrating decision rules and case‐based learning
inferred← citeshttps://doi.org/10.1007/3-540-44418-1_29openalex-snapshot
Discovery of M-of-N Concepts for Classification
inferred← citeshttps://doi.org/10.1007/3-540-45813-1_61openalex-snapshot
Discernibility Matrix Approach to Exception Analysis
inferred← citeshttps://doi.org/10.1007/978-3-642-14125-6_8openalex-snapshot
Ranking Cases with Classification Rules
inferred← citeshttps://doi.org/10.1016/j.knosys.2008.07.003openalex-snapshot
Modeling interestingness of streaming association rules as a benefit-maximizing classification problem
inferred← citeshttps://doi.org/10.1016/s0950-7051(98)00066-5openalex-snapshot
The omnipresence of case-based reasoning in science and application
inferred← citeshttps://doi.org/10.1109/bigdata.2017.8258384openalex-snapshot
Predictive analytics for litigation case management
inferred← citeshttps://doi.org/10.1109/cifer.2012.6327823openalex-snapshot
Comparison of data classification methods for predictive ranking of banks exposed to risk of failure
inferred← citeshttps://doi.org/10.1111/1468-0394.00237openalex-snapshot
A logic‐based approach to rule induction in expert systems
inferred← citeshttps://doi.org/10.1145/331499.331504openalex-snapshot
Data clustering
inferred← citeshttps://doi.org/10.32657/10356/61749openalex-snapshot
Cognitively inspired rule-plus-exemplar based pattern classification
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.