Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Induction of fuzzy rules and membership functions from training examples
Fuzzy Sets and Systems
Fuzzy set technology in knowledge discovery
Fuzzy Sets and Systems
Data mining: concepts and techniques
Data mining: concepts and techniques
Possibilistic programming in production planning of assemble-to-order environments
Fuzzy Sets and Systems
Data Mining Techniques: For Marketing, Sales, and Customer Support
Data Mining Techniques: For Marketing, Sales, and Customer Support
Mining optimized support rules for numeric attributes
Information Systems
Mining association rules using inverted hashing and pruning
Information Processing Letters
Efficient Mining of Association Rules in Distributed Databases
IEEE Transactions on Knowledge and Data Engineering
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Discovery of Multiple-Level Association Rules from Large Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Mining association rules on significant rare data using relative support
Journal of Systems and Software
Fuzzy data mining for interesting generalized association rules
Fuzzy Sets and Systems - Theme: Learning and modeling
Possibilistic instance-based learning
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
Qualitative pattern matching with linguistic terms
AI Communications - STAIRS 2002
Database classification for multi-database mining
Information Systems
Algorithms for mining association rules in bag databases
Information Sciences—Informatics and Computer Science: An International Journal
Market basket analysis in a multiple store environment
Decision Support Systems
Constraining and summarizing association rules in medical data
Knowledge and Information Systems
A collaborative filtering framework based on fuzzy association rules and multiple-level similarity
Knowledge and Information Systems
Data quality awareness: a case study for cost optimal association rule mining
Knowledge and Information Systems - Special Issue on Mining Low-Quality Data
Mining association rules from imprecise ordinal data
Fuzzy Sets and Systems
Computing the minimum-support for mining frequent patterns
Knowledge and Information Systems
A survey on algorithms for mining frequent itemsets over data streams
Knowledge and Information Systems
An information-theoretic approach to quantitative association rule mining
Knowledge and Information Systems
Efficient mining of maximal frequent itemsets from databases on a cluster of workstations
Knowledge and Information Systems
Possibility theory and statistical reasoning
Computational Statistics & Data Analysis
Using clustering to learn distance functions for supervised similarity assessment
Engineering Applications of Artificial Intelligence
A new approach for discovering fuzzy quantitative sequential patterns in sequence databases
Fuzzy Sets and Systems
Mining frequent itemsets from uncertain data
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
A sampling-based method for mining frequent patterns from databases
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Discovering fuzzy time-interval sequential patterns in sequence databases
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy association rules: general model and applications
IEEE Transactions on Fuzzy Systems
Associative classifier for uncertain data
WAIM'10 Proceedings of the 11th international conference on Web-age information management
Extracting compact and information lossless sets of fuzzy association rules
Fuzzy Sets and Systems
Constrained frequent pattern mining on univariate uncertain data
Journal of Systems and Software
FARP: Mining fuzzy association rules from a probabilistic quantitative database
Information Sciences: an International Journal
Inducing and storing generalised evidences using semantic web formalisms
HIKM '12 Proceedings of the Fifth Australasian Workshop on Health Informatics and Knowledge Management - Volume 129
A methodological approach to mining and simulating data in complex information systems
Intelligent Data Analysis
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Association rule mining is an important data analysis method that can discover associations within data. There are numerous previous studies that focus on finding fuzzy association rules from precise and certain data. Unfortunately, real-world data tends to be uncertain due to human errors, instrument errors, recording errors, and so on. Therefore, a question arising immediately is how we can mine fuzzy association rules from uncertain data. To this end, this paper proposes a representation scheme to represent uncertain data. This representation is based on possibility distributions because the possibility theory establishes a close connection between the concepts of similarity and uncertainty, providing an excellent framework for handling uncertain data. Then, we develop an algorithm to mine fuzzy association rules from uncertain data represented by possibility distributions. Experimental results from the survey data show that the proposed approach can discover interesting and valuable patterns with high certainty.