A two-armed bandit collective for hierarchical examplar based mining of frequent itemsets with applications to intrusion detection

被引：0
|
作者：
Haugland, Vegard [1 ]
Kjølleberg, Marius [1 ]
Larsen, Svein-Erik [1 ]
Granmo, Ole-Christoffer [1 ]
机构：
[1] Haugland, Vegard
[2] Kjølleberg, Marius
[3] Larsen, Svein-Erik
[4] Granmo, Ole-Christoffer
来源：
Granmo, Ole-Christoffer (ole.granmo@uia.no) | 1600年 / Springer Verlag卷 / 8615期
关键词：
17;
D O I：
10.1007/978-3-662-45911-9_1
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 14 条
  • [1] A Two-Armed Bandit Collective for Examplar Based Mining of Frequent Itemsets with Applications to Intrusion Detection
    Haugland, Vegard
    Kjolleberg, Marius
    Larsen, Svein-Erik
    Granmo, Ole-Christoffer
    COMPUTATIONAL COLLECTIVE INTELLIGENCE: TECHNOLOGIES AND APPLICATIONS, PT I, 2011, 6922 : 72 - 81
  • [2] Mining maximal frequent itemsets for intrusion detection
    Wang, H
    Li, QH
    Xiong, HY
    Jiang, SY
    GRID AND COOPERATIVE COMPUTING GCC 2004 WORKSHOPS, PROCEEDINGS, 2004, 3252 : 422 - 429
  • [3] Accelerated Bayesian learning for decentralized two-armed bandit based decision making with applications to the Goore Game
    Ole-Christoffer Granmo
    Sondre Glimsdal
    Applied Intelligence, 2013, 38 : 479 - 488
  • [4] Accelerated Bayesian learning for decentralized two-armed bandit based decision making with applications to the Goore Game
    Granmo, Ole-Christoffer
    Glimsdal, Sondre
    APPLIED INTELLIGENCE, 2013, 38 (04) : 479 - 488
  • [5] Detection of Breast Cancer Based on Fuzzy Frequent Itemsets Mining
    Dhanaseelan, F. Ramesh
    Sutha, M. Jeya
    IRBM, 2021, 42 (03) : 198 - 206
  • [6] An Efficient Method for Detection of Breast Cancer Based on Closed Frequent Itemsets Mining
    Sutha, M. Jeya
    Dhanaseelan, F. Ramesh
    JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2015, 5 (05) : 987 - 994
  • [7] Association Rule Mining Frequent-Pattern-Based Intrusion Detection in Network
    Sivanantham, S.
    Mohanraj, V
    Suresh, Y.
    Senthilkumar, J.
    COMPUTER SYSTEMS SCIENCE AND ENGINEERING, 2023, 44 (02): : 1617 - 1631
  • [8] Machine Learning based Network Intrusion Detection with Hybrid Frequent Item Set Mining
    Firat, Murat
    Bakal, Gokhan
    Akbas, Ayhan
    JOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI, 2024,
  • [9] Network Intrusion Detection for Smart Infrastructure using Multi-armed Bandit based Reinforcement Learning in Adversarial Environment
    Tariq, Zain Ul Abideen
    Baccour, Emna
    Erbad, Aiman
    Guizani, Mohsen
    Hamdi, Mounir
    2022 INTERNATIONAL CONFERENCE ON CYBER WARFARE AND SECURITY (ICCWS), 2022, : 75 - 82
  • [10] Application of High-Dimensional Outlier Mining Based on the Maximum Frequent Pattern Factor in Intrusion Detection
    Shen, Limin
    Sun, Zhongkui
    Chen, Lei
    Feng, Jiayin
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2021, 2021
12