Author of the publication

mHUIMiner: A Fast High Utility Itemset Mining Algorithm for Sparse Datasets.

, , and . PAKDD (2), volume 10235 of Lecture Notes in Computer Science, page 196-207. (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

mHUIMiner: A Fast High Utility Itemset Mining Algorithm for Sparse Datasets., , and . PAKDD (2), volume 10235 of Lecture Notes in Computer Science, page 196-207. (2017)Proactive drift detection: Predicting concept drifts in data streams using probabilistic networks., , and . IJCNN, page 780-787. IEEE, (2016)Tracking Drift Severity in Data Streams., , and . Australasian Conference on Artificial Intelligence, volume 9457 of Lecture Notes in Computer Science, page 96-108. Springer, (2015)Classifying Imbalanced Road Accident Data Using Recurring Concept Drift., , and . AusDM, volume 1127 of Communications in Computer and Information Science, page 143-155. Springer, (2019)Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information., , , , , and . ICDE, page 1056-1067. IEEE, (2021)Feature Drift Detection in Evolving Data Streams., and . DEXA (2), volume 12392 of Lecture Notes in Computer Science, page 335-349. Springer, (2020)Using Supervised Pretraining to Improve Generalization of Neural Networks on Binary Classification Problems., , , and . ECML/PKDD (1), volume 11051 of Lecture Notes in Computer Science, page 410-425. Springer, (2018)Discovering High Utility Change Points in Customer Transaction Data., , , and . ADMA, volume 11323 of Lecture Notes in Computer Science, page 392-402. Springer, (2018)Transaction Clustering Using a Seeds Based Approach., and . PAKDD, volume 5012 of Lecture Notes in Computer Science, page 916-922. Springer, (2008)Detecting Changes in Rare Patterns from Data Streams., , , and . PAKDD (2), volume 8444 of Lecture Notes in Computer Science, page 437-448. Springer, (2014)