FreeSpan: frequent pattern-projected sequential pattern mining
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Discovering similar patterns in time series
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Maintaining knowledge about temporal intervals
Communications of the ACM
SPADE: an efficient algorithm for mining frequent sequences
Machine Learning
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
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Efficient Algorithms for Incremental Update of Frequent Sequences
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Efficient Constraint-Based Sequential Pattern Mining Using Dataset Filtering Techniques
Proceedings of the Baltic Conference, BalticDB&IS 2002 - Volume 1
Efficiently mining frequent trees in a forest
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient Searches for Similar Subsequences of Different Lengths in Sequence Databases
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Incremental mining of sequential patterns in large databases
Data & Knowledge Engineering
Deriving two-stage learning sequences from knowledge in fuzzy sequential pattern mining
Information Sciences—Informatics and Computer Science: An International Journal
IncSpan: incremental mining of sequential patterns in large database
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining Non-Redundant Association Rules
Data Mining and Knowledge Discovery
Mining Sequential Patterns by Pattern-Growth: The PrefixSpan Approach
IEEE Transactions on Knowledge and Data Engineering
Video Data Mining: Semantic Indexing and Event Detection from the Association Perspective
IEEE Transactions on Knowledge and Data Engineering
Parallel mining of closed sequential patterns
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Computational aspects of mining maximal frequent patterns
Theoretical Computer Science
Constraint-based sequential pattern mining: the consideration of recency and compactness
Decision Support Systems
Constraint-based sequential pattern mining: the pattern-growth methods
Journal of Intelligent Information Systems
First-order temporal pattern mining with regular expression constraints
Data & Knowledge Engineering
Mining Nonambiguous Temporal Patterns for Interval-Based Events
IEEE Transactions on Knowledge and Data Engineering
Frequent Closed Sequence Mining without Candidate Maintenance
IEEE Transactions on Knowledge and Data Engineering
Frequent pattern mining: current status and future directions
Data Mining and Knowledge Discovery
Efficient mining of iterative patterns for software specification discovery
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining negative fuzzy sequential patterns
SMO'07 Proceedings of the 7th WSEAS International Conference on Simulation, Modelling and Optimization
Data & Knowledge Engineering
Data & Knowledge Engineering
Efficient algorithms for incremental maintenance of closed sequential patterns in large databases
Data & Knowledge Engineering
Establishing relationships among patterns in stock market data
Data & Knowledge Engineering
TOD: Temporal outlier detection by using quasi-functional temporal dependencies
Data & Knowledge Engineering
An efficient algorithm for incremental mining of temporal association rules
Data & Knowledge Engineering
Discovering multi-label temporal patterns in sequence databases
Information Sciences: an International Journal
Efficient bitmap-based indexing of time-based interval sequences
Information Sciences: an International Journal
On mining clinical pathway patterns from medical behaviors
Artificial Intelligence in Medicine
Discovering forward sequences from temporal data
Knowledge-Based Systems
Discovering metric temporal constraint networks on temporal databases
Artificial Intelligence in Medicine
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Previous sequential pattern mining studies have dealt with either point-based event sequences or interval-based event sequences. In some applications, however, event sequences may contain both point-based and interval-based events. These sequences are called hybrid event sequences. Since the relationships among both kinds of events are more diversiform, the information obtained by discovering patterns from these events is more informative. In this study we introduce a hybrid temporal pattern mining problem and develop an algorithm to discover hybrid temporal patterns from hybrid event sequences. We carry out an experiment using both synthetic and real stock price data to compare our algorithm with the traditional algorithms designed exclusively for mining point-based patterns or interval-based patterns. The experimental results indicate that the efficiency of our algorithm is satisfactory. In addition, the experiment also shows that the predicting power of hybrid temporal patterns is higher than that of point-based or interval-based patterns.