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Multi-Sorted Inverse Frequent Itemsets Mining: On-Going Research.

, , and . AMW, volume 1644 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)

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Editorial: Security and privacy for the Internet of Things., , and . Frontiers Comput. Sci., (2023)Optimal Placement of Security Resources for the Internet of Things., , , and . The Internet of Things for Smart Urban Ecosystems, Springer, (2019)Top-k user-specified preferred answers in massive graph databases., , , and . Data Knowl. Eng., (2020)Detecting Saturation Attacks in SDN via Machine Learning., , , and . ICCCS, page 1-8. IEEE, (2019)Extending inverse frequent itemsets mining to generate realistic datasets: complexity, accuracy and emerging applications., , and . Data Min. Knowl. Discov., 33 (6): 1736-1774 (2019)A Framework for the Multi-modal Analysis of Novel Behavior in Business Processes., , , and . IDEAL (1), volume 12489 of Lecture Notes in Computer Science, page 51-63. Springer, (2020)A Game of Things: Strategic Allocation of Security Resources for IoT., , , and . IoTDI, page 185-190. ACM, (2017)Identifying ATT&CK Tactics in Android Malware Control Flow Graph through Graph Representation Learning and Interpretability (Student Abstract)., , , , and . AAAI, page 12941-12942. AAAI Press, (2022)Power Grid Anomaly Detection via Hybrid LSTM-GIN Model (Student Abstract)., , , , , and . AAAI, page 23525-23527. AAAI Press, (2024)Multi-Sorted Inverse Frequent Itemsets Mining for Generating Realistic No-SQL Datasets (Discussion Paper)., , and . SEBD, volume 2994 of CEUR Workshop Proceedings, page 347-354. CEUR-WS.org, (2021)