Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
An effective hash-based algorithm for mining association rules
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
PODS '96 Proceedings of the fifteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Efficiently mining long patterns from databases
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Breaking the barrier of transactions: mining inter-transaction association rules
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
An approach to discovering temporal association rules
SAC '00 Proceedings of the 2000 ACM symposium on Applied computing - Volume 1
Depth first generation of long patterns
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
ACM Transactions on Information Systems (TOIS)
Maintaining knowledge about temporal intervals
Communications of the ACM
SPADE: an efficient algorithm for mining frequent sequences
Machine Learning
A tree projection algorithm for generation of frequent item sets
Journal of Parallel and Distributed Computing - Special issue on high-performance data mining
Discovery of Frequent Episodes in Event Sequences
Data Mining and Knowledge Discovery
Discovering Frequent Event Patterns with Multiple Granularities in Time Sequences
IEEE Transactions on Knowledge and Data Engineering
Pincer-Search: An Efficient Algorithm for Discovering the Maximum Frequent Set
IEEE Transactions on Knowledge and Data Engineering
A Survey of Temporal Knowledge Discovery Paradigms and Methods
IEEE Transactions on Knowledge and Data Engineering
Discovering calendar-based temporal association rules
Data & Knowledge Engineering - Special issue: Temporal representation and reasoning
Efficient Mining of Intertransaction Association Rules
IEEE Transactions on Knowledge and Data Engineering
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
On Mining General Temporal Association Rules in a Publication Database
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Discovering Temporal Patterns in Multiple Granularities
TSDM '00 Proceedings of the First International Workshop on Temporal, Spatial, and Spatio-Temporal Data Mining-Revised Papers
Mining Inter-transactional Association Rules: Generalization and Empirical Evaluation
DaWaK '01 Proceedings of the Third International Conference on Data Warehousing and Knowledge Discovery
Local and Global Methods in Data Mining: Basic Techniques and Open Problems
ICALP '02 Proceedings of the 29th International Colloquium on Automata, Languages and Programming
A template model for multidimensional inter-transactional association rules
The VLDB Journal — The International Journal on Very Large Data Bases
Efficient Mining of Partial Periodic Patterns in Time Series Database
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Extracting Uncertain Temporal Relations from Mined Frequent Sequences
TIME '06 Proceedings of the Thirteenth International Symposium on Temporal Representation and Reasoning
An efficient algorithm for mining frequent inter-transaction patterns
Information Sciences: an International Journal
An efficient algorithm for mining closed inter-transaction itemsets
Data & Knowledge Engineering
An inductive database for mining temporal patterns in event sequences
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Mining weighted sequential patterns in a sequence database with a time-interval weight
Knowledge-Based Systems
Finding temporal features of event-oriented patterns
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Temporal representation and reasoning in artificial intelligence: A review
Mathematical and Computer Modelling: An International Journal
Mining generalized temporal patterns based on fuzzy counting
Expert Systems with Applications: An International Journal
A Theory of Evidence-based method for assessing frequent patterns
Expert Systems with Applications: An International Journal
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The incorporation of temporal semantics into traditional data mining techniques has led to the development of a new field called temporal data mining. This is especially necessary for extracting useful knowledge from dynamic domains, which by nature are time-varying. However, in practical terms, this is a computationally intractable problem, and therefore, it poses more challenges to efficient processing than non-temporal techniques. In this paper, we present a tree-based structure and a handling algorithm, called TSET-Miner, for frequent temporal pattern mining from time-stamped datasets. The algorithm is based on mining inter-transaction association, and is mainly characterized by the use of a single tree-based data structure for generation and storage of all frequent sequences discovered by mining. Given the versatility involved in the use of a single data structure, it may be extended an adapted to extract other types of patterns with relative little effort. To demonstrate this, we also present TSET^m^a^x-Miner, an algorithm based on the TSET structure, designed to extract maximal frequent event-based sequences.