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The analysis of relationships in databases for rule derivation

https://doi.org/10.1007/bf00125369
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-662-12405-5_3openalex-snapshot
A COMPARATIVE REVIEW OF SELECTED METHODS FOR LEARNING FROM EXAMPLES
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/bf00116251openalex-snapshot
Induction of Decision Trees
inferredcites →https://doi.org/10.1007/bf01001956openalex-snapshot
Rough sets
inferredcites →https://doi.org/10.1007/bf01263334openalex-snapshot
Answering heterogeneous database queries with degrees of uncertainty
inferredcites →https://doi.org/10.1007/bfb0024364openalex-snapshot
Neighborhood/conceptual query answering with imprecise/incomplete data
inferredcites →https://doi.org/10.1016/0167-7136(83)90132-4openalex-snapshot
A theory and methodology of inductive learning
inferredcites →https://doi.org/10.1016/0743-1066(87)90003-3openalex-snapshot
Intelligent query answering in rule based systems
inferredcites →https://doi.org/10.1109/69.204089openalex-snapshot
Data-driven discovery of quantitative rules in relational databases
inferredcites →https://doi.org/10.1109/69.87981openalex-snapshot
Automatic knowledge acquisition and maintenance for semantic query optimization
inferredcites →https://doi.org/10.1109/icde.1990.113479openalex-snapshot
An attribute-oriented approach for learning classification rules from relational databases
inferredcites →https://doi.org/10.1109/icde.1991.131488openalex-snapshot
Using type inference and induced rules to provide intensional answers
inferredcites →https://doi.org/10.1145/146931.146932openalex-snapshot
A method for automatic rule derivation to support semantic query optimization
inferredcites →https://doi.org/10.1145/170035.170072openalex-snapshot
Mining association rules between sets of items in large databases
inferredcites →https://doi.org/10.1145/223784.223813openalex-snapshot
An effective hash-based algorithm for mining association rules
inferredcites →https://doi.org/10.1145/274535.274537openalex-snapshot
Performance-driven soft-macro clustering and placement by preserving HDL design hierarchy
inferredcites →https://doi.org/10.1145/568271.223813openalex-snapshot
An effective hash-based algorithm for mining association rules
inferredcites →https://doi.org/10.5555/140629.140633openalex-snapshot
Knowledge discovery in databases

What points at this work

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

inferred← citeshttps://doi.org/10.1002/widm.1176openalex-snapshot
Fuzzy frameworks for mining data associations: fuzzy association rules and beyond
inferred← citeshttps://doi.org/10.1007/3-540-32365-1_15openalex-snapshot
Mining Fuzzy Association Rules: An Overview
inferred← citeshttps://doi.org/10.1007/3-540-44469-6_69openalex-snapshot
Completing missing values using discovered formal concepts
inferred← citeshttps://doi.org/10.1007/3-540-48912-6_55openalex-snapshot
Efficient Graph-Based Algorithm for Discovering and Maintaining Knowledge in Large Databases
inferred← citeshttps://doi.org/10.1007/3-540-48912-6_70openalex-snapshot
BRRA: A Based Relevant Rectangles Algorithm for Mining Relationships in Databases
inferred← citeshttps://doi.org/10.1007/978-3-7908-1804-8_12openalex-snapshot
Acquisition of Fuzzy Association Rules from Medical Data
inferred← citeshttps://doi.org/10.1007/pl00011672openalex-snapshot
Efficient Graph-Based Algorithms for Discovering and Maintaining Association Rules in Large Databases
inferred← citeshttps://doi.org/10.1023/a:1009755120593openalex-snapshot
On the Complexity of Mining Quantitative Association Rules
inferred← citeshttps://doi.org/10.1109/fuzzy.1999.790080openalex-snapshot
Mining linguistic summaries of databases using based Lukasiewicz implication fuzzy functional dependency
inferred← citeshttps://doi.org/10.1109/pdis.1996.568663openalex-snapshot
An efficient approach to discovering knowledge from large databases
inferred← citeshttps://doi.org/10.1109/tfuzz.2003.809896openalex-snapshot
Fuzzy association rules: general model and applications
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