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Database exploration in search of regularities

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What this work says

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

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LISP‐STAT: An Object‐Oriented Environment for Statistical Computing and Dynamic Graphics
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Automated discovery of empirical equations from data
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Causation, Prediction, and Search
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Knowledge Acquisition Via Incremental Conceptual Clustering
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Mining for knowledge in databases: The INLEN architecture, initial implementation and first results
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INTEGRATING QUANTITATIVE AND QUALITATIVE DISCOVERY IN THE ABACUS SYSTEM
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Combining many searches in the FAHRENHEIT discovery system
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Integrating Quantitative and Qualitative Discovery: The ABACUS System
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Statistical Methods in Experimental Physics
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The LDL system prototype
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Mathematics Anxiety and Science Careers among Able College Women
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Statistical Methods in Experimental Physics
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An Architecture for Integrating Machine Learning and Discovery Programs into a Data Analysis System
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Statistical Concepts and Methods
inferredcites →https://doi.org/10.2307/1403172openalex-snapshot
The Information in Contingency Tables
inferredcites →https://doi.org/10.2307/2284113openalex-snapshot
Statistical Methods in Experimental Physics.
inferredcites →https://doi.org/10.2307/2287000openalex-snapshot
The Information in Contingency Tables.
inferredcites →https://doi.org/10.2307/2529445openalex-snapshot
A Primer of Multivariate Statistics
inferredcites →https://doi.org/10.4324/9780203843130openalex-snapshot
Applied Multivariate Statistics for the Social Sciences
inferredcites →https://doi.org/10.4324/9781410600455openalex-snapshot
A Primer of Multivariate Statistics
inferredcites →https://doi.org/10.4324/9781410604491openalex-snapshot
Applied Multivariate Statistics for the Social Sciences
inferredcites →https://doi.org/10.5555/140629.140633openalex-snapshot
Knowledge discovery in databases
inferredcites →https://doi.org/10.5860/choice.27-0349openalex-snapshot
A logical language for data and knowledge bases
inferredcites →https://doi.org/10.7551/mitpress/5782.003.0013openalex-snapshot
Scientific Discovery

What points at this work

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

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Data mining using extensions of the rough set model
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Reducts-driven query answering for distributed autonomous knowledge systems
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INDUCTIVE ACQUISITION OF DIAGNOSTIC KNOWLEDGE FOR STATES TREE WITH COMPLEX STRUCTURE
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Foundations and Discovery of Operational Definitions
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Towards a Method of Searching a Diverse Theory Space for Scientific Discovery
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Neural Method for Detection of Complex Patterns in Databases
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Discovery of Equations and the Shared Operational Semantics in Distributed Autonomous Databases
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The GLS discovery system: Its goal, architecture and current results
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Concept hierarchies: a restricted form of knowledge derived from regularities
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A multi-step process for discovering, managing and refining strong functional relations hidden in databases
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Knowledge discovery in databases and data mining
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A way of increasing both autonomy and versatility of a KDD system
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Business Process Understanding: Mining Many Datasets
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Theories that Combine Many Equivalence and Subset Relations
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Robotized Inspection and Diagnostics – Basic Issues
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Discovering Dependencies in Sound Descriptors
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Taxonomy Formation by Approximate Equivalence Relations, Revisited
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Methods of Acquisition of Diagnostic Knowledge
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Mining the Preference Relations and Preference Graphs
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Query Answering in DAKS Based on Reducts
inferred← citeshttps://doi.org/10.1007/978-3-7908-1840-6_5openalex-snapshot
Knowledge Discovery by Application of Rough Set Models
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Rough Set Methods for the Synthesis and Analysis of Concurrent Processes
inferred← citeshttps://doi.org/10.1007/bf00962822openalex-snapshot
Efficient discovery of interesting statements in databases
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KOSI — An integrated system for discovering functional relations from databases
inferred← citeshttps://doi.org/10.1007/bfb0094847openalex-snapshot
Modeling the business process by mining multiple databases
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/b978-012443870-5.50004-6openalex-snapshot
Modeling Relationships in Data
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/j.eswa.2011.05.048openalex-snapshot
Learning patterns of university student retention
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
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Automatic Generation of Knowledge Base from Infrared Spectral Database for Substructure Recognition
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Mining for Attribute Definitions in a Distributed Two-Layered DB System
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Analysis of Feature Dependencies in Sound Description
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Database mining by learned cognitive dissonance reduction
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Managing/refining structural characteristics discovered from databases
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Aspects of approximate reasoning applied to unsupervised database mining
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IIBR-a system for managing/refining structural characteristics discovered from databases
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Granularity refined by knowledge: contingency tables and rough sets as tools of discovery
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DYNAMICALLY ORGANIZING KDD PROCESSES
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Mining Chaotic Patterns in Relational Databases and Rule Extraction by Neural Networks
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Exploring Student Characteristics of Retention that Lead to Graduation in Higher Education Using Data Mining Models
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Discovery of Concurrent Data Models from Experimental Tables: A Rough Set Approach
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Contingency Tables as the Foundation for Concepts, Concept Hierarchies, and Rules: The 49er System Approach
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Longitudinal study of first-time freshmen using data mining
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