Why triangular membership functions?
Fuzzy Sets and Systems
Induction of fuzzy decision trees
Fuzzy Sets and Systems
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Web usage mining for Web site evaluation
Communications of the ACM
SPADE: an efficient algorithm for mining frequent sequences
Machine Learning
Mining frequent patterns by pattern-growth: methodology and implications
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Artificial Intelligence: A Guide to Intelligent Systems
Artificial Intelligence: A Guide to Intelligent Systems
Constrained frequent pattern mining: a pattern-growth view
ACM SIGKDD Explorations Newsletter
Mining Sequential Patterns with Regular Expression Constraints
IEEE Transactions on Knowledge and Data Engineering
Finding fuzzy classification rules using data mining techniques
Pattern Recognition Letters
Mining Sequential Patterns: Generalizations and Performance Improvements
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
PrefixSpan: Mining Sequential Patterns by Prefix-Projected Growth
Proceedings of the 17th International Conference on Data Engineering
SPIRIT: Sequential Pattern Mining with Regular Expression Constraints
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
A fuzzy data mining algorithm for finding sequential patterns
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
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
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Selecting fuzzy if-then rules for classification problems using genetic algorithms
IEEE Transactions on Fuzzy Systems
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Fuzzy sequential patterns are discovered by finding intertransaction fuzzy patterns among data items at a single level. In this paper, a fuzzy data mining method for finding fuzzy sequential patterns at multiple levels of abstraction is developed. Actually, a new method is proposed to mine multiple level fuzzy sequential patterns, using fuzzy partition by a simple fuzzy grid, among data items at a concept hierarchy. The proposed method is composed of two phases: one to find frequent level crossing fuzzy 1-sequences, and the other to generate multiple level fuzzy sequential patterns by analyzing the temporal relation between those frequent fuzzy 1-sequences. A numerical example along with a mining process is used to illustrate the usefulness of the proposed method.