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A metric for selection of the most promising rules
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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/bf00962821openalex-snapshot
Selecting among rules induced from a hurricane database
inferredcites →https://doi.org/10.1016/s0167-739x(97)00019-8openalex-snapshot
Mining generalized association rules
inferredcites →https://doi.org/10.1109/69.553165openalex-snapshot
What makes patterns interesting in knowledge discovery systems
inferredcites →https://doi.org/10.1145/191246.191314openalex-snapshot
Finding interesting rules from large sets of discovered 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.
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Quality Assessment Approaches in Data Mining
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Investigation of Rule Interestingness in Medical Data Mining
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Evaluating Model Construction Methods with Objective Rule Evaluation Indices to Support Human Experts
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Evaluating a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices
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Developing a Rule Evaluation Support Method Based on Objective Indices
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Evaluating Learning Algorithms for a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices
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Evaluating Learning Models for a Rule Evaluation Support Method Based on Objective Indices
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Evaluating Learning Algorithms with Meta-learning Schemes for a Rule Evaluation Support Method Based on Objective Indices
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Comparing Machine Learning and Knowledge Discovery in DataBases: An Application to Knowledge Discovery in Texts
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Reducing Number of Decision Rules by Joining
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Quality Assessment Approaches in Data Mining
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Assessment of Data Models
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Quality Assessment in Data Mining
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Comparison between Objective Interestingness Measures and Real Human Interest in Medical Data Mining
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Data Decomposition and Decision Rule Joining for Classification of Data with Missing Values
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Evaluation of Rule Interestingness Measures with a Clinical Dataset on Hepatitis
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Monitoring the Evolution of Web Usage Patterns
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Generating Representative from Clusters of Association Rules on Numeric Attributes
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A Distance-Based Clustering and Selection of Association Rules on Numeric Attributes
inferred← citeshttps://doi.org/10.1007/978-3-540-68123-6_9openalex-snapshot
Analyzing Behavior of Objective Rule Evaluation Indices Based on Pearson Product-Moment Correlation Coefficient
inferred← citeshttps://doi.org/10.1007/978-3-540-77226-2_58openalex-snapshot
The Outer Impartation Information Content of Rules and Rule Sets
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Evaluating Learning Algorithms to Support Human Rule Evaluation with Predicting Interestingness Based on Objective Rule Evaluation Indices
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Analyzing Correlation Coefficients of Objective Rule Evaluation Indices on Classification Rules
inferred← citeshttps://doi.org/10.1007/978-3-540-85565-1_94openalex-snapshot
Analyzing Behavior of Objective Rule Evaluation Indices Based on a Correlation Coefficient
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Evaluating Learning Algorithms Composed by a Constructive Meta-learning Scheme for a Rule Evaluation Support Method
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Finding Functional Groups of Objective Rule Evaluation Indices Using PCA
inferred← citeshttps://doi.org/10.1007/978-3-540-92814-0_50openalex-snapshot
Comprehensible Knowledge Discovery Using Particle Swarm Optimization with Monotonicity Constraints
inferred← citeshttps://doi.org/10.1007/978-3-642-16917-5_34openalex-snapshot
Selective Delivery of Points of Interest
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A Framework to Mine High-Level Emerging Patterns by Attribute-Oriented Induction
inferred← citeshttps://doi.org/10.1007/s00704-016-1862-2openalex-snapshot
Long-range prediction of Indian summer monsoon rainfall using data mining and statistical approaches
inferred← citeshttps://doi.org/10.1007/s10844-006-1626-zopenalex-snapshot
Bootstrapping rule induction to achieve rule stability and reduction
inferred← citeshttps://doi.org/10.1007/s11432-008-0130-1openalex-snapshot
The information content of rules and rule sets and its application
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Evaluation of rule interestingness measures in medical knowledge discovery in databases
inferred← citeshttps://doi.org/10.1016/j.cmpb.2015.05.007openalex-snapshot
A Swarm Optimization approach for clinical knowledge mining
inferred← citeshttps://doi.org/10.1017/s0269888905000408openalex-snapshot
A survey of interestingness measures for knowledge discovery
inferred← citeshttps://doi.org/10.1108/03055721111134808openalex-snapshot
Interesting spatiotemporal rules discovery: application to remotely sensed image databases
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Knowledge Discovery on In Vitro Fertilization Clinical Data Using Particle Swarm Optimization
inferred← citeshttps://doi.org/10.1109/coginf.2006.365532openalex-snapshot
User-centered Interactive Data Mining
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Evaluating Learning Algorithms to Construct Rule Evaluation Models Based on Objective Rule Evaluation Indices
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Micro and macro evaluation of classification rules
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Influence and conditional influence-new interestingness measures in association rule mining
inferred← citeshttps://doi.org/10.1109/grc.2007.155openalex-snapshot
Evaluation of Learning Costs of Rule Evaluation Models Based on Objective Indices to Predict Human Hypothesis Construction Phases
inferred← citeshttps://doi.org/10.1109/grc.2007.61openalex-snapshot
Study on the Axis Problem of Rough 3-Valued Algebras
inferred← citeshttps://doi.org/10.1109/grc.2008.4664770openalex-snapshot
Investigating accuracies of rule evaluation models on randomized labeling and human evaluation
inferred← citeshttps://doi.org/10.1109/iccme.2007.4382084openalex-snapshot
Evaluating Learning Costs to Predict Human Interests with Rule Evaluation Models based on Objective Indices
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Exploring interestingness through clustering: a framework
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Evaluating Learning Algorithms Composed by a Constructive Meta-Learning Scheme for a Rule Evaluation Support Method
inferred← citeshttps://doi.org/10.1109/icdmw.2008.49openalex-snapshot
Comparing Accuracies of Rule Evaluation Models to Determine Human Criteria on Evaluated Rule Sets
inferred← citeshttps://doi.org/10.1109/icdmw.2009.99openalex-snapshot
Detecting Similarity of Transferring Datasets Based on Features of Classification Rules
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Evaluating a rule evaluation support method with learning models based on objective rule evaluation indices - a case study with a meningitis data mining result
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Evaluating learning algorithms for a rule evaluation support method
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On the representation, measurement, and discovery of fuzzy associations
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Mining Batch Activation Rules from Event Logs
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A method to characterize dataset based on objective rule evaluation indices
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Series in Machine Perception and Artificial Intelligence
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Improving a rule evaluation support method based on objective indices
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Evaluating Learning Algorithms to Support Human Rule Evaluation Based on Objective Rule Evaluation Indices
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Investigating Accuracies of Classifications for Randomized Imbalanced Class Distributions
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Reducing redundancy in characteristic rule discovery by using integer programming techniques
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Measuring the interestingness of discovered knowledge: A principled approach
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Probabilistic Measures for Interestingness of Deviations - A Survey
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