Fuzzy learning models in expert systems
Fuzzy Sets and Systems - Special Double issue Fuzzy Set Theory in the USSR
Fuzzy expert systems
C4.5: programs for machine learning
C4.5: programs for machine learning
An inductive learning procedure to identify fuzzy systems
Fuzzy Sets and Systems
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Learning rules for a fuzzy inference model
Fuzzy Sets and Systems - Special issue on fuzzy data analysis
Induction of fuzzy decision trees
Fuzzy Sets and Systems
Mining quantitative association rules in large relational tables
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Induction of fuzzy rules and membership functions from training examples
Fuzzy Sets and Systems
Attribute weighting: a method of applying domain knowledge in the decision tree process
Proceedings of the seventh international conference on Information and knowledge management
A fuzzy inductive learning strategy for modular rules
Fuzzy Sets and Systems
Processing individual fuzzy attributes for fuzzy rule induction
Fuzzy Sets and Systems
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
Machine Learning
Database Mining: A Performance Perspective
IEEE Transactions on Knowledge and Data Engineering
Discovery of Multiple-Level Association Rules from Large Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Mining Generalized Association Rules
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
A mobile knowledge carrier with personalized knowledge provision
Computers and Industrial Engineering - Special issue: Computational intelligence and information technology applications to industrial engineering selected papers from the 33 rd ICC&IE
Mining association rules from imprecise ordinal data
Fuzzy Sets and Systems
Association-rule knowledge discovery by using a fuzzy mining approach
International Journal of Business Intelligence and Data Mining
Expert Systems with Applications: An International Journal
SIMPLE FUZZY GRID PARTITION FOR MINING MULTIPLE-LEVEL FUZZY SEQUENTIAL PATTERNS
Cybernetics and Systems
Data & Knowledge Engineering
A Rough-Apriori Technique in Mining Linguistic Association Rules
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Recognizing unexpected recurrence behaviors with fuzzy measures in sequence databases
CSTST '08 Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology
Development of an intelligent quality management system using fuzzy association rules
Expert Systems with Applications: An International Journal
Mining fuzzy association rules from questionnaire data
Knowledge-Based Systems
Customer pattern search for after-sales service in manufacturing
Expert Systems with Applications: An International Journal
A mobile knowledge carrier with personalized knowledge provision
Computers and Industrial Engineering
An Integration of Fuzzy Association Rules and WordNet for Document Clustering
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Data mining by attribute generalization with fuzzy hierarchies in fuzzy databases
Fuzzy Sets and Systems
Mining fuzzy frequent itemsets for hierarchical document clustering
Information Processing and Management: an International Journal
Data & Knowledge Engineering
Mining fuzzy association rules from uncertain data
Knowledge and Information Systems
Mining fuzzy specific rare itemsets for education data
Knowledge-Based Systems
Fuzzy transform and least-squares approximation: Analogies, differences, and generalizations
Fuzzy Sets and Systems
Detection of communities and bridges in weighted networks
MLDM'11 Proceedings of the 7th international conference on Machine learning and data mining in pattern recognition
Model inference of a dynamic system by fuzzy learning of geometric structures
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Expert Systems with Applications: An International Journal
Discovering fuzzy association rules with interest and conviction measures
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
Using a fuzzy association rule mining approach to identify the financial data association
Expert Systems with Applications: An International Journal
Applying cluster-based fuzzy association rules mining framework into EC environment
Applied Soft Computing
A fuzzy rule-based approach for screening international distribution centres
Computers & Mathematics with Applications
Exploring fuzzy ontologies in mining generalized association rules
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part III
Usage of Fuzzy, Rough, and Soft Set Approach in Association Rule Mining
International Journal of Artificial Life Research
Review: Educational data mining: A survey and a data mining-based analysis of recent works
Expert Systems with Applications: An International Journal
Fuzzy generalised classifier for distributed knowledge discovery
International Journal of Business Intelligence and Data Mining
Using data mining synergies for evaluating criteria at pre-qualification stage of supplier selection
Journal of Intelligent Manufacturing
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Due to the increasing use of very large databases and data warehouses, mining useful information and helpful knowledge from transactions is evolving into an important research area. Most conventional data-mining algorithms identify the relationships among transactions using binary values and find rules at a single concept level. Transactions with quantitative values and items with hierarchy relation are, however, commonly seen in real-world applications. In this paper, we thus introduce the problem of mining fuzzy generalized association rules from quantitative data. A fuzzy mining algorithm based on Srikant and Agrawal's method is proposed for extracting implicit generalized knowledge from transactions stored as quantitative values. It integrates fuzzy-set concepts and generalized data mining technologies to achieve this purpose. Items in rules may be from any level of the given taxonomy. The effect of numbers of fuzzy regions on the performance of the proposed algorithm is also discussed.