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Memory efficient mining of periodic-frequent patterns in transactional databases.

, , , and . SSCI, page 1-8. IEEE, (2016)

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Memory efficient mining of periodic-frequent patterns in transactional databases., , , and . SSCI, page 1-8. IEEE, (2016)Discovering Spatial High Utility Frequent Itemsets in Spatiotemporal Databases., , , , , and . BDA, volume 11932 of Lecture Notes in Computer Science, page 287-306. Springer, (2019)Novel Techniques to Reduce Search Space in Periodic-Frequent Pattern Mining., and . DASFAA (2), volume 8422 of Lecture Notes in Computer Science, page 377-391. Springer, (2014)Towards Addressing the Coverage Problem in Association Rule-Based Recommender Systems., and . DEXA (2), volume 8056 of Lecture Notes in Computer Science, page 418-425. Springer, (2013)An Efficient Approach to Mine Periodic-Frequent Patterns in Transactional Databases., , and . PAKDD Workshops, volume 7104 of Lecture Notes in Computer Science, page 254-266. Springer, (2011)An Improved Neighborhood-Restricted Association Rule-based Recommender System., and . ADC, volume 137 of CRPIT, page 43-50. Australian Computer Society, (2013)Efficient discovery of periodic-frequent patterns in very large databases., , and . J. Syst. Softw., (2016)Towards Scale-out Capability on Social Graphs., , , and . CIKM, page 253-262. ACM, (2015)Discovering Fuzzy Partial Periodic Patterns in Quantitative Irregular Multiple Time Series., , , , , and . FUZZ, page 1-7. IEEE, (2023)Discovering Maximal Periodic-Frequent Patterns in Very Large Temporal Databases., , , , , and . DSAA, page 11-20. IEEE, (2020)