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Improving the Accuracy of CAR-based Classifiers by Combining Netconf Measure and Dynamic -K Mechanism.

. CIARP, volume 9423 of Lecture Notes in Computer Science, page 603-610. Springer, (2015)

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Improving the Accuracy of the Sequential Patterns-Based Classifiers., , , and . CIARP, volume 9423 of Lecture Notes in Computer Science, page 708-715. Springer, (2015)Improving the Accuracy of CAR-based Classifiers by Combining Netconf Measure and Dynamic -K Mechanism.. CIARP, volume 9423 of Lecture Notes in Computer Science, page 603-610. Springer, (2015)On the design of hardware architectures for parallel frequent itemsets mining., , , , and . Expert Syst. Appl., (2020)Classifying Using Specific Rules with High Confidence., , , and . MICAI (Special Sessions), page 75-80. IEEE Computer Society, (2010)Distributed and Shared Memory Algorithm for Parallel Mining of Association Rules., , , and . MLDM, volume 4571 of Lecture Notes in Computer Science, page 349-363. Springer, (2007)SPaMi-FTS: An Efficient Algorithm for Mining Frequent Sequential Patterns., , , and . CIARP, volume 8827 of Lecture Notes in Computer Science, page 470-477. Springer, (2014)A Novel Incremental Algorithm for Frequent Itemsets Mining in Dynamic Datasets., , , and . CIARP, volume 5197 of Lecture Notes in Computer Science, page 145-152. Springer, (2008)Algorithms for mining frequent itemsets in static and dynamic datasets., , , and . Intell. Data Anal., 14 (3): 419-435 (2010)Studying Netconf in Hybrid Rule Ordering Strategies for Associative Classification., , , and . MCPR, volume 8495 of Lecture Notes in Computer Science, page 51-60. Springer, (2014)Red Light/Green Light: A Lightweight Algorithm for, Possibly, Fraudulent Online Behavior Change Detection., , , and . MICAI (2), volume 13613 of Lecture Notes in Computer Science, page 316-327. Springer, (2022)