International Journal of Man-Machine Studies - Special Issue: Knowledge Acquisition for Knowledge-based Systems. Part 5
C4.5: programs for machine learning
C4.5: programs for machine learning
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Extending naïve Bayes classifiers using long itemsets
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining association rules with multiple minimum supports
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Mining frequent patterns without candidate generation
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Growing decision trees on support-less association rules
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
BoosTexter: A Boosting-based Systemfor Text Categorization
Machine Learning - Special issue on information retrieval
ACM SIGKDD Explorations Newsletter
Mining confident rules without support requirement
Proceedings of the tenth international conference on Information and knowledge management
Information Retrieval
Classifying text documents by associating terms with text categories
ADC '02 Proceedings of the 13th Australasian database conference - Volume 5
A Study of Approaches to Hypertext Categorization
Journal of Intelligent Information Systems
Rule Induction with CN2: Some Recent Improvements
EWSL '91 Proceedings of the European Working Session on Machine Learning
ECML '93 Proceedings of the European Conference on Machine Learning
The Case against Accuracy Estimation for Comparing Induction Algorithms
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
CMAR: Accurate and Efficient Classification Based on Multiple Class-Association Rules
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
RainForest - A Framework for Fast Decision Tree Construction of Large Datasets
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
An Efficient Algorithm for Mining Association Rules in Large Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Construct robust rule sets for classification
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
A Lazy Approach to Pruning Classification Rules
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Fast vertical mining using diffsets
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
On support thresholds in associative classification
Proceedings of the 2004 ACM symposium on Applied computing
An associative classifier based on positive and negative rules
Proceedings of the 9th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery
A Novel Algorithm for Associative Classification of Image Blocks
CIT '04 Proceedings of the The Fourth International Conference on Computer and Information Technology
MMAC: A New Multi-Class, Multi-Label Associative Classification Approach
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
Using association rules to make rule-based classifiers robust
ADC '05 Proceedings of the 16th Australasian database conference - Volume 39
MCAR: multi-class classification based on association rule
AICCSA '05 Proceedings of the ACS/IEEE 2005 International Conference on Computer Systems and Applications
An Agent-Oriented Data Mining Framework for Mass Customization in the Automotive Industry
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Intelligent file scoring system for malware detection from the gray list
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Rule Learning with Probabilistic Smoothing
DaWaK '09 Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery
Expert Systems with Applications: An International Journal
An efficient approach for mining web content sensitivity
International Journal of Knowledge and Web Intelligence
CIMDS: adapting postprocessing techniques of associative classification for malware detection
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Mining associative classification rules with stock trading data - A GA-based method
Knowledge-Based Systems
Journal of Intelligent Information Systems
Symptom-based problem determination using log data abstraction
Proceedings of the 2010 Conference of the Center for Advanced Studies on Collaborative Research
Proceedings of the 20th international conference companion on World wide web
Proceedings of the 20th international conference companion on World wide web
An approach for adaptive associative classification
Expert Systems with Applications: An International Journal
Associative classification in the prediction of tuberculosis
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Protein subcellular localization prediction with associative classification and multi-class SVM
Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine
Discovering and recognizing student interaction patterns in exploratory learning environments
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part I
Lattice based associative classifier
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II
Improving the performance of association classifiers by rule prioritization
Knowledge-Based Systems
X-Class: Associative Classification of XML Documents by Structure
ACM Transactions on Information Systems (TOIS)
A Theory of Evidence-based method for assessing frequent patterns
Expert Systems with Applications: An International Journal
Journal of Intelligent Manufacturing
Sentiment classification of web review using association rules
OCSC'13 Proceedings of the 5th international conference on Online Communities and Social Computing
Learning theory analysis for association rules and sequential event prediction
The Journal of Machine Learning Research
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Associative classification mining is a promising approach in data mining that utilizes the association rule discovery techniques to construct classification systems, also known as associative classifiers. In the last few years, a number of associative classification algorithms have been proposed, i.e. CPAR, CMAR, MCAR, MMAC and others. These algorithms employ several different rule discovery, rule ranking, rule pruning, rule prediction and rule evaluation methods. This paper focuses on surveying and comparing the state-of-the-art associative classification techniques with regards to the above criteria. Finally, future directions in associative classification, such as incremental learning and mining low-quality data sets, are also highlighted in this paper.