Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Semi-naive Bayesian classifier
EWSL-91 Proceedings of the European working session on learning on Machine learning
Probabilistic similarity networks
Probabilistic similarity networks
C4.5: programs for machine learning
C4.5: programs for machine learning
Lazy learning
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
Machine Learning - Special issue on learning with probabilistic representations
Machine Learning - Special issue on learning with probabilistic representations
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Adjusted Probability Naive Bayesian Induction
AI '98 Selected papers from the 11th Australian Joint Conference on Artificial Intelligence on Advanced Topics in Artificial Intelligence
Context-specific independence in Bayesian networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Growing decision trees on support-less association rules
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Targeting the right students using data mining
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Scalable association-based text classification
Proceedings of the ninth international conference on Information and knowledge management
A fast scalable classifier tightly integrated with RDBMS
Journal of Computer Science and Technology
Scoring the Data Using Association Rules
Applied Intelligence
A Study on the Performance of Large Bayes Classifier
ECML '00 Proceedings of the 11th European Conference on Machine Learning
Instance-Based Classification by Emerging Patterns
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Improving an Association Rule Based Classifier
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Decision Tables: Scalable Classification Exploring RDBMS Capabilities
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Mining Frequent Itemsets Using Support Constraints
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Information-Based Classification by Aggregating Emerging Patterns
IDEAL '00 Proceedings of the Second International Conference on Intelligent Data Engineering and Automated Learning, Data Mining, Financial Engineering, and Intelligent Agents
Combining the Strength of Pattern Frequency and Distance for Classification
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Construct robust rule sets for classification
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Pushing Support Constraints Into Association Rules Mining
IEEE Transactions on Knowledge and Data Engineering
Scoring and ranking the data using association rules
Data mining, rough sets and granular computing
A Bayesian approach to use emerging patterns for classification
ADC '03 Proceedings of the 14th Australasian database conference - Volume 17
ART: A Hybrid Classification Model
Machine Learning
DeEPs: A New Instance-Based Lazy Discovery and Classification System
Machine Learning
Intelligent technology for well logging analysis
Intelligent information processing II
Sequential patterns for text categorization
Intelligent Data Analysis
Extending the single words-based document model: a comparison of bigrams and 2-itemsets
Proceedings of the 2006 ACM symposium on Document engineering
A new approach to classification based on association rule mining
Decision Support Systems
Feature set decomposition for decision trees
Intelligent Data Analysis
A review of associative classification mining
The Knowledge Engineering Review
Compact fuzzy association rule-based classifier
Expert Systems with Applications: An International Journal
An Algorithm for Generating Classification Rules Based on Extended Function Dependency
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
A novel distance-based classifier built on pattern ranking
Proceedings of the 2009 ACM symposium on Applied Computing
Iterative reordering of rules for building ensembles without relearning
DS'07 Proceedings of the 10th international conference on Discovery science
Feature construction based on closedness properties is not that simple
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Ensembles of jittered association rule classifiers
Data Mining and Knowledge Discovery
Cuisine: Classification using stylistic feature sets and-or name-based feature sets
Journal of the American Society for Information Science and Technology
Transactions on rough sets XII
Scaling up the accuracy of Bayesian classifier based on frequent itemsets by m-estimate
AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part I
Building a highly-compact and accurate associative classifier
Applied Intelligence
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Compression picks item sets that matter
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
Identifying historical period and ethnic origin of documents using stylistic feature sets
DS'06 Proceedings of the 9th international conference on Discovery Science
DRC-BK: mining classification rules by using Boolean kernels
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and its Applications - Volume Part I
ACME: an associative classifier based on maximum entropy principle
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
ECDL'05 Proceedings of the 9th European conference on Research and Advanced Technology for Digital Libraries
Building a more accurate classifier based on strong frequent patterns
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Exploiting maximal emerging patterns for classification
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
An experiment with association rules and classification: post-bagging and conviction
DS'05 Proceedings of the 8th international conference on Discovery Science
Double-layer bayesian classifier ensembles based on frequent itemsets
International Journal of Automation and Computing
A knowledge-based clinical toxicology consultant for diagnosing single exposures
Artificial Intelligence in Medicine
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