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检索条件"主题词=Stream clustering"
66 条 记 录,以下是1-10 订阅
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stream clustering guided supervised learning for classifying NIDS alerts
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FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 2024年 155卷 231-244页
作者: Vaarandi, Risto Guerra-Manzanares, Alejandro Tallinn Univ Technol Ctr Digital Forens & Cyber Secur Tallinn Estonia New York Univ Abu Dhabi Ctr Interacting Urban Networks Abu Dhabi U Arab Emirates
A Network Intrusion Detection System (NIDS) is a network monitoring technology for identifying cyber attacks, botnet command and control traffic, and other unwanted network activity. Unfortunately, organizational NIDS... 详细信息
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Smoclust: synthetic minority oversampling based on stream clustering for evolving data streams
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MACHINE LEARNING 2024年 第7期113卷 4671-4721页
作者: Chiu, Chun Wai Minku, Leandro L. Keele Univ Sch Comp Sci & Math Keele ST5 5BG Staffs England Univ Birmingham Sch Comp Sci Birmingham B15 2TT England
Many real-world data stream applications not only suffer from concept drift but also class imbalance. Yet, very few existing studies investigated this joint challenge. Data difficulty factors, which have been shown to... 详细信息
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Temporal silhouette: validation of stream clustering robust to concept drift
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MACHINE LEARNING 2024年 第4期113卷 2067-2091页
作者: Vazquez, Felix Iglesias Zseby, Tanja TU Wien Inst Telecommun Gusshaus str 25-E389 A-1040 Vienna Austria
stream clustering is required in applications where data is generated continuously or periodically and must be processed considering its temporal nature. In the absence of a ground truth, internal validation is the on... 详细信息
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Tracestream: Anomalous Service Localization based on Trace stream clustering with Online Feedback  34
TraceStream: Anomalous Service Localization based on Trace S...
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34th IEEE International Symposium on Software Reliability Engineering (ISSRE)
作者: Zhou, Tong Zhang, Chenxi Peng, Xin Yan, Zhenghui Li, Pairui Liang, Jianming Zheng, Haibing Zheng, Wujie Deng, Yuetang Fudan Univ Sch Comp Sci Shanghai Peoples R China Fudan Univ Shanghai Key Lab Data Sci Shanghai Peoples R China Shanghai Collaborat Innovat Ctr Intelligent Visua Shanghai Peoples R China Tencent Inc Shenzhen Peoples R China
Modern large-scale service-based systems such as microservice systems have become increasingly complex, making it hard to localize anomalous services when various issues emerge. Traces record the workflows of requests... 详细信息
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Textual One-Pass stream clustering with Automated Distance Threshold Adaption  14th
Textual One-Pass Stream Clustering with Automated Distance T...
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14th Asian Conference on Intelligent Information and Database Systems (ACIIDS)
作者: Assenmacher, Dennis Trautmann, Heike Univ Munster Munster Germany GESIS Leibniz Inst Social Sci Cologne Germany
stream clustering is a technique capable of identifying homogeneous groups of observations that continuously arrive in a digital stream. In this work, we inherently refine a TF-IDF-based text stream clustering algorit... 详细信息
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Towards an efficient real-time kernel function stream clustering method via shared nearest-neighbor density for the IIoT
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INFORMATION SCIENCES 2021年 566卷 364-378页
作者: Huang, Ruohe Xiao, Ruliang Zhu, Weifu Gong, Ping Chen, Jinhui Rida, Imad Fujian Noma Univ Coll Math & Informat Fuzhou 350117 Peoples R China Fujian Prov Digit Fujian Internet Of Things Lab E Fuzhou Peoples R China Hiroshima Univ Ctr Computat Social Sci Hiroshima Japan Univ Technol Compiegne Biomech & Bioengn Compiegne France
The rapid development of 5G communication technology will considerably help the expansion and gth Industrial Internet of things (IIoT). Indeed, both the data scale and dimension will significantly increase, leading to... 详细信息
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A stream clustering Algorithm for Classifying Network IDS Alerts
A Stream Clustering Algorithm for Classifying Network IDS Al...
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IEEE International Conference on Cyber Security and Resilience (IEEE CSR)
作者: Vaarandi, Risto Tallinn Univ Technol Ctr Digital Forens & Cyber Secur Tallinn Estonia
Network IDS is a widely used security monitoring technology for detecting cyber attacks, malware activity, and other unwanted network traffic. Unfortunately, network IDSs are known to generate a large number of alerts... 详细信息
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Subtstream: Online subtractive stream clustering algorithm
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CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2022年 第15期34卷 e6968-e6968页
作者: Milli, Musa Bulut, Hasan Natl Def Univ Naval Acad Dept Comp Engn Istanbul Turkey Ege Univ Dept Comp Engn TR-35100 Izmir Turkey
Real-time stream data processing has gained high importance with the rapid rise of big data trends in different areas such as social media, finance, business, science, and bioinformatics. stream data can be characteri... 详细信息
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A Dirichlet process biterm-based mixture model for short text stream clustering
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APPLIED INTELLIGENCE 2020年 第5期50卷 1609-1619页
作者: Chen, Junyang Gong, Zhiguo Liu, Weiwen Univ Macau State Key Lab Internet Things Smart City Macau Peoples R China Univ Macau Dept Comp & Informat Sci Macau Peoples R China Chinese Univ Hong Kong Dept Comp Sci & Engn Hong Kong Peoples R China
Short text stream clustering has become an important problem for mining textual data in diverse social media platforms (e.g., Twitter). However, most of the existing clustering methods (e.g., LDA and PLSA) are develop... 详细信息
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RobustRepstream: Robust stream clustering using self-controlled connectivity graph
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INTELLIGENT DATA ANALYSIS 2020年 第4期24卷 799-830页
作者: Callister, Ross Lazarescu, Mihai Pham, Duc-Son Curtin Univ Bentley WA 6102 Australia
A major challenge in stream clustering is the evolution in the statistical properties of the underlying data. As clustering is inherently unsupervised, selecting suitable parameter values is often difficult. Clusterin... 详细信息
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