Hypothesis-Driven Constructive Induction in AQ17-HCI: A Method and Experiments
Machine Learning - Special issue on evaluating and changing representation
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
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Artificial Intelligence Review
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Machine Learning and Data Mining; Methods and Applications
Machine Learning and Data Mining; Methods and Applications
Machine Learning
Taming Large Rule Models in Rough Set Approaches
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Importance and Interaction of Conditions in Decision Rules
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
A New Version of Rough Set Exploration System
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Data mining based on rough sets
Data mining
Subgroup Discovery with CN2-SD
The Journal of Machine Learning Research
A survey of interestingness measures for knowledge discovery
The Knowledge Engineering Review
Interestingness measures for data mining: A survey
ACM Computing Surveys (CSUR)
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Quality Measures in Data Mining (Studies in Computational Intelligence)
Quality Measures in Data Mining (Studies in Computational Intelligence)
Discovering Significant Patterns
Machine Learning
Mining Pareto-optimal rules with respect to support and confirmation or support and anti-support
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Evaluating Importance of Conditions in the Set of Discovered Rules
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Journal of Artificial Intelligence Research
A method of discovering important rules using rules as attributes
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On the quest for optimal rule learning heuristics
Machine Learning
An Efficient Explanation of Individual Classifications using Game Theory
The Journal of Machine Learning Research
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ENDER: a statistical framework for boosting decision rules
Data Mining and Knowledge Discovery
Discovering rules-based similarity in microarray data
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Interestingness measures for association rules based on statistical validity
Knowledge-Based Systems
Induction and pruning of classification rules for prediction of microseismic hazards in coal mines
Expert Systems with Applications: An International Journal
Data-driven adaptive selection of rules quality measures for improving the rules induction algorithm
RSFDGrC'11 Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing
International Journal of Applied Mathematics and Computer Science
Decision rule-based data models using TRS and NetTRS – methods and algorithms
Transactions on Rough Sets XI
A hierarchical approach to multimodal classification
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Visualization of similarities and dissimilarities in rules using multidimensional scaling
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
RIONA: A New Classification System Combining Rule Induction and Instance-Based Learning
Fundamenta Informaticae
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The paper presents an algorithm of decision rules redefinition that is based on evaluation of the importance of elementary conditions occurring in induced rules. Standard and simplified heuristic indices of elementary condition importance evaluation are described. There is a comparison of the results obtained by both indices concerning classifiers quality and elementary condition rankings estimated by the indices. The efficiency of the proposed algorithm has been verified on 21 benchmark data sets. Moreover, an analysis of practical applications of the proposed methods for biomedical and medical data analysis is presented. The obtained results show that the redefinition reduces considerably a rule set needed to describe each decision class. Additionally, after the rule set redefinition negated elementary conditions may also occur in new rules.