Association rules over interval data
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Data Mining Techniques: For Marketing, Sales, and Customer Support
Data Mining Techniques: For Marketing, Sales, and Customer Support
A Framework for Dynamic Evidence Based Medicine using Data Mining
CBMS '02 Proceedings of the 15th IEEE Symposium on Computer-Based Medical Systems (CBMS'02)
Fuzzy data mining for interesting generalized association rules
Fuzzy Sets and Systems - Theme: Learning and modeling
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
Data mining for a web-based educational system
Data mining for a web-based educational system
Mining learner profile utilizing association rule for web-based learning diagnosis
Expert Systems with Applications: An International Journal
Educational data mining: A survey from 1995 to 2005
Expert Systems with Applications: An International Journal
A personalized English learning recommender system for ESL students
Expert Systems with Applications: An International Journal
A new approach for constructing the concept map
Computers & Education
Mining association rules from imprecise ordinal data
Fuzzy Sets and Systems
ICMLA '07 Proceedings of the Sixth International Conference on Machine Learning and Applications
ICTAI '07 Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence - Volume 01
Data mining in course management systems: Moodle case study and tutorial
Computers & Education
Mining fuzzy association rules from questionnaire data
Knowledge-Based Systems
An efficient algorithm for finding dense regions for mining quantitative association rules
Computers & Mathematics with Applications
Processing online analytics with classification and association rule mining
Knowledge-Based Systems
Fuzzy association rules: general model and applications
IEEE Transactions on Fuzzy Systems
Frequent approximate subgraphs as features for graph-based image classification
Knowledge-Based Systems
Artificial Intelligence Review
Prioritized fuzzy logic based information processing in relational databases
Knowledge-Based Systems
Web usage mining with evolutionary extraction of temporal fuzzy association rules
Knowledge-Based Systems
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Association rule mining is an important data analysis method for the discovery of associations within data. There have been many studies focused on finding fuzzy association rules from transaction databases. Unfortunately, in the real world, one may have available relatively infrequent data, as well as frequent data. From infrequent data, we can find a set of rare itemsets that will be useful for teachers to find out which students need extra help in learning. While the previous association rules discovery techniques are able to discover some rules based on frequency, this is insufficient to determine the importance of a rule composed of frequency-based data items. To remedy this problem, we develop a new algorithm based on the Apriori approach to mine fuzzy specific rare itemsets from quantitative data. Finally, fuzzy association rules can be generated from these fuzzy specific rare itemsets. The patterns are useful to discover learning problems. Experimental results show that the proposed approach is able to discover interesting and valuable patterns from the survey data.