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KOSI — An integrated system for discovering functional relations from databases
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/int.4550070707openalex-snapshot
Problems for knowledge discovery in databases and their treatment in the statistics interpreter explora
inferredcites →https://doi.org/10.1002/int.4550070708openalex-snapshot
Knowledge discovery workbench for exploring business databases
inferredcites →https://doi.org/10.1007/3-540-57234-1_19openalex-snapshot
An integrated calculation model for discovering functional relations from databases
inferredcites →https://doi.org/10.1007/3-540-58495-1_24openalex-snapshot
The GLS discovery system: Its goal, architecture and current results
inferredcites →https://doi.org/10.1007/978-1-4020-6754-9_8476openalex-snapshot
Information (in statistics)
inferredcites →https://doi.org/10.1007/bf01006415openalex-snapshot
Mining for knowledge in databases: The INLEN architecture, initial implementation and first results
inferredcites →https://doi.org/10.1007/bf01066546openalex-snapshot
Database exploration in search of regularities
inferredcites →https://doi.org/10.1016/0004-3702(84)90038-9openalex-snapshot
Qualitative process theory
inferredcites →https://doi.org/10.1016/0004-3702(89)90046-5openalex-snapshot
Models of incremental concept formation
inferredcites →https://doi.org/10.1016/0004-3702(89)90051-9openalex-snapshot
Data-driven approaches to empirical discovery
inferredcites →https://doi.org/10.1016/0010-4485(89)90039-0openalex-snapshot
Toward intelligent CAD systems
inferredcites →https://doi.org/10.1016/0169-023x(90)90003-vopenalex-snapshot
Loose coupling of KAUS with existing RDBMSs
inferredcites →https://doi.org/10.1016/0169-023x(94)90015-9openalex-snapshot
Discovering concept clusters by decomposing databases
inferredcites →https://doi.org/10.1016/0950-7051(90)90097-2openalex-snapshot
Framework of knowledge-based systems
inferredcites →https://doi.org/10.1016/b978-0-08-051055-2.50012-2openalex-snapshot
INTEGRATING QUANTITATIVE AND QUALITATIVE DISCOVERY IN THE ABACUS SYSTEM
inferredcites →https://doi.org/10.1016/b978-0-934613-64-4.50011-6openalex-snapshot
AutoClass: A Bayesian Classification System
inferredcites →https://doi.org/10.1016/b978-1-4832-1447-4.50027-4openalex-snapshot
ORDER OF MAGNITUDE REASONING
inferredcites →https://doi.org/10.1016/b978-1-4832-1447-4.50029-8openalex-snapshot
“COMMONSENSE” ARITHMETIC REASONING
inferredcites →https://doi.org/10.1023/a:1022866732136openalex-snapshot
Integrating Quantitative and Qualitative Discovery: The ABACUS System
inferredcites →https://doi.org/10.1080/00401706.1989.10488504openalex-snapshot
Artificial Intelligence and Statistics
inferredcites →https://doi.org/10.1109/tac.1974.1100705openalex-snapshot
A new look at the statistical model identification
inferredcites →https://doi.org/10.1109/tai.1993.633990openalex-snapshot
HML-An approach for refining/managing knowledge discovered from databases
inferredcites →https://doi.org/10.1109/tai.1994.346455openalex-snapshot
IIBR-a system for managing/refining structural characteristics discovered from databases
inferredcites →https://doi.org/10.21236/ada191597openalex-snapshot
Models of Incremental Concept Formation
inferredcites →https://doi.org/10.2307/1910133openalex-snapshot
Tests of Equality Between Sets of Coefficients in Two Linear Regressions
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/3-540-45357-1_29openalex-snapshot
Peculiarity Oriented Mining and Its Application for Knowledge Discovery in Amino-Acid Data
inferred← citeshttps://doi.org/10.1007/3-540-58495-1_24openalex-snapshot
The GLS discovery system: Its goal, architecture and current results
inferred← citeshttps://doi.org/10.1007/3-540-61286-6_174openalex-snapshot
A multi-step process for discovering, managing and refining strong functional relations hidden in databases
inferred← citeshttps://doi.org/10.1007/3-540-62591-7_33openalex-snapshot
An organized society of autonomous knowledge discovery agents
inferred← citeshttps://doi.org/10.1007/3-540-63223-9_136openalex-snapshot
On meta levels of an organized society of KDD agents
inferred← citeshttps://doi.org/10.1007/978-3-540-36519-8_5openalex-snapshot
Mining Interesting Patterns in Multiple Data Sources
inferred← citeshttps://doi.org/10.1007/s10844-012-0229-0openalex-snapshot
Reducing the size of databases for multirelational classification: a subgraph-based approach
inferred← citeshttps://doi.org/10.1016/0169-023x(94)90015-9openalex-snapshot
Discovering concept clusters by decomposing databases
inferred← citeshttps://doi.org/10.1016/0950-7051(96)01035-0openalex-snapshot
System for managing and refining structural characteristics discovered from databases
inferred← citeshttps://doi.org/10.1016/b978-012443880-4/50073-9openalex-snapshot
Automatic Knowledge Discovery in Larger Scale Knowledge—Data Bases
inferred← citeshttps://doi.org/10.1016/s0169-023x(96)00003-1openalex-snapshot
A hierarchical model learning approach for refining and managing concept clusters discovered from databases
inferred← citeshttps://doi.org/10.1109/icdm.2001.989566openalex-snapshot
Interestingness, peculiarity, and multi-database mining
inferred← citeshttps://doi.org/10.1109/tkde.2003.1209011openalex-snapshot
Peculiarity oriented multidatabase mining
inferred← citeshttps://doi.org/10.1142/9789812797612_0005openalex-snapshot
Dynamically Organizing KDD Processes in a Multi-Agent KDD System
inferred← citeshttps://doi.org/10.1142/s0218001401000976openalex-snapshot
DYNAMICALLY ORGANIZING KDD PROCESSES
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