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Accounting for domain knowledge in the construction of a generalization space

https://doi.org/10.1007/bfb0027890
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What this work says

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

inferredcites →https://doi.org/10.1007/3-540-56979-0_15openalex-snapshot
Efficient retrieval from hierarchies of objects using lattice operations
inferredcites →https://doi.org/10.1007/3-540-57868-4_90openalex-snapshot
Representing biases for Inductive Logic Programming
inferredcites →https://doi.org/10.1007/3-540-58328-9_16openalex-snapshot
UDS: A universal data structure
inferredcites →https://doi.org/10.1007/3-540-60161-9_37openalex-snapshot
Conceptual clustering of complex objects: A generalization space based approach
inferredcites →https://doi.org/10.1007/3-540-60161-9_39openalex-snapshot
A new parallelization of subgraph isomorphism refinement for classification and retrieval of conceptual structures
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/bf00114265openalex-snapshot
Knowledge Acquisition Via Incremental Conceptual Clustering
inferredcites →https://doi.org/10.1007/bf00114802openalex-snapshot
Learning Conjunctive Concepts in Structural Domains
inferredcites →https://doi.org/10.1007/bf00117105openalex-snapshot
Learning Logical Definitions from Relations
inferredcites →https://doi.org/10.1007/bf00123690openalex-snapshot
Formalisms for grammatical knowledge representation
inferredcites →https://doi.org/10.1007/bf00993254openalex-snapshot
The Utility of Knowledge in Inductive Learning
inferredcites →https://doi.org/10.1016/0004-3702(85)90005-0openalex-snapshot
Machine learning: An artificial intelligence approach
inferredcites →https://doi.org/10.1016/0004-3702(89)90046-5openalex-snapshot
Models of incremental concept formation
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/b978-1-4832-0773-5.50011-0openalex-snapshot
Concept Formation in Structured Domains
inferredcites →https://doi.org/10.1016/b978-1-55860-307-3.50011-3openalex-snapshot
GALOIS : An order-theoretic approach to conceptual clustering
inferredcites →https://doi.org/10.1109/icde.1990.113478openalex-snapshot
Structuring knowledge bases using automatic learning
inferredcites →https://doi.org/10.13021/mars/3406openalex-snapshot
An Application of AI Techniques to Structuring Objects into an Optimal Conceptual Hierarchy
inferredcites →https://doi.org/10.1613/jair.276openalex-snapshot
Iterative Optimization and Simplification of Hierarchical Clusterings
inferredcites →https://doi.org/10.18280/riaopenalex-snapshot
Revue d'Intelligence Artificielle
inferredcites →https://doi.org/10.21236/ada191597openalex-snapshot
Models of Incremental Concept Formation

What points at this work

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

inferred← citeshttps://doi.org/10.1007/3-540-36468-4_1openalex-snapshot
Propositionalization for Clustering Symbolic Relational Descriptions
inferred← citeshttps://doi.org/10.1007/3-540-39967-4_16openalex-snapshot
KIDS: An Iterative Algorithm to Organize Relational Knowledge
inferred← citeshttps://doi.org/10.1007/3-540-44914-0_6openalex-snapshot
Abstractions for Knowledge Organization of Relational Descriptions
inferred← citeshttps://doi.org/10.1007/3-540-45357-1_28openalex-snapshot
Evaluation of Interestingness Measures for Ranking Discovered Knowledge
inferred← citeshttps://doi.org/10.1007/3-540-45517-5_11openalex-snapshot
Hierarchical Approach for Engineering Skills Acquisition
inferred← citeshttps://doi.org/10.1007/978-3-540-48247-5_25openalex-snapshot
Heuristic Measures of Interestingness
inferred← citeshttps://doi.org/10.1007/bfb0054925openalex-snapshot
Ontologies and conceptual structures
inferred← citeshttps://doi.org/10.1007/bfb0094835openalex-snapshot
Generalization lattices
inferred← citeshttps://doi.org/10.1007/s10462-018-9627-1openalex-snapshot
A review of conceptual clustering algorithms
inferred← citeshttps://doi.org/10.1109/tai.2000.889848openalex-snapshot
Principles for mining summaries using objective measures of interestingness
inferred← citeshttps://doi.org/10.3233/ida-2003-7406openalex-snapshot
Measuring the interestingness of discovered knowledge: A principled approach
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