Search Results - NETWORK LOGS

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    Network log analysis with SQL-on-Hadoop by Si-yu ZHANG, Kai-da JIANG, Jian-wen WEI, Xuan LUO, Hai-yang WANG

    Published in Tongxin xuebao (2014-10-01)
    “…With the rapid expansion of network bandwidth,devices and applications,log management is facing the challenge of exploding data volumes.Log analysis platform built on SQL-on-Hadoop is capable of storing and querying hundreds of billions of log entries effectively.Columnar and compressed data formats for Hadoop are benchmarked with real-world multi-TB dataset.Conditional and statistical querying efficiency of Hive and Impala is tested.With gzipped parquet format,log data can be compressed by 80%,and querying with impala is 5 times faster.On this platform,six security incident analysis and detection applications are already deployed.…”
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    Article
  2. 2

    Network log analysis with SQL-on-Hadoop by Si-yu ZHANG, Kai-da JIANG, Jian-wen WEI, Xuan LUO, Hai-yang WANG

    Published in Tongxin xuebao (2014-10-01)
    “…With the rapid expansion of network bandwidth,devices and applications,log management is facing the challenge of exploding data volumes.Log analysis platform built on SQL-on-Hadoop is capable of storing and querying hundreds of billions of log entries effectively.Columnar and compressed data formats for Hadoop are benchmarked with real-world multi-TB dataset.Conditional and statistical querying efficiency of Hive and Impala is tested.With gzipped parquet format,log data can be compressed by 80%,and querying with impala is 5 times faster.On this platform,six security incident analysis and detection applications are already deployed.…”
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    Article
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    Tree log identification using convolutional neural networks by Eero Holmström, Antti Raatevaara, Jonne Pohjankukka, Heikki Korpunen, Jori Uusitalo

    Published in Smart Agricultural Technology (2023-08-01)
    “…In this work, using a dataset of thousands of Scots pine (Pinus sylvestris L.) log end images displaying varying perspectives, lighting, and aging effects, we develop and assess log identification methods based on deep convolutional neural networks. …”
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    LogNNet Neural Network Application for Diabetes Mellitus Diagnosis by Izotov Y. A., Huyut M. T., Velichko A. A.

    Published in BIO Web of Conferences (2024-01-01)
    “…The paper presents a LogNNet neural network algorithm for diabetes mellitus diagnosing based on a public dataset. …”
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    Customer Prediction using Parking Logs with Recurrent Neural Networks by Liaq Mudassar, Yung-Cheol Byun

    “…Neural Networks have been performing state of the art for almost a decade now; when it comes to classification and prediction domains. …”
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    Using a Neural Network to Approximate the Negative Log Likelihood Function by Liu Shenghua, Jamieson Nathan, Lannon Kevin, Mohrman Kelci, Negash Sirak, Wan Yuyi, Yates Brent

    Published in EPJ Web of Conferences (2024-01-01)
    “…Traditionally, such characterizations take the form of a negative log likelihood (NLL) function, which can only be evaluated numerically. …”
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    Research on fault prediction of computer network nodes driven by log information by WANG Yuxi, YE Qingwei, ZHOU Peng, LI Bing, WANG Xiaodong

    Published in Dianxin kexue (2024-08-01)
    Subjects: “…log;computer network;node failure;failure prediction;deep learning;correction mechanism;time series…”
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    Article
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    Log Anomaly Detection Method Based on Transformer and Temporal Convolutional Networks by Niandong Liao, Zihan Liu

    Published in IEEE Access (2025-01-01)
    “…As record files generated during system operation, logs play a vital role in ensuring system stability. …”
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    Predicting Network Hardware Faults through Layered Treatment of Alarms Logs by Antonio Massaro, Dimitre Kostadinov, Alonso Silva, Alexander Obeid Guzman, Armen Aghasaryan

    Published in Entropy (2023-06-01)
    “…We tackled the problem of detecting and predicting the occurrence of faults in hardware components in a radio access network, leveraging the alarm logs produced by the network elements. …”
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    A Benchmark of Neural Networks for Semantic Segmentation of Wood Log Ends by Dorian Martinetto, Georg Wimmer, Phuc Ngo, Frederic Mothe, Alexandre Piboule, Andreas Uhl, Isabelle Debled-Rennesson, Fleur Longuetaud

    Published in IEEE Access (2025-01-01)
    “…This task of semantic segmentation is essential in various applications, such as biometric log tracking and log quality assessment. Different state-of-the-art Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) for segmentation were tested in this paper, including Mask R-CNN, U-Net, PointRend, YOLOv11 and OneFormer. …”
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    Bayesian Network analysis of software logs for data‐driven software maintenance by Santiago delRey, Silverio Martínez‐Fernández, Antonio Salmerón

    Published in IET Software (2023-06-01)
    “…Indeed, software quality assurance and improvement programs have attracted many researchers' attention. Bayesian Networks (BNs) are proposed as a log analysis technique to discover poor performance indicators in a system and to explore usage patterns that usually require temporal analysis. …”
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    Anomaly Detection for Log Sequence Based on Improved Temporal Convolutional Network by YANG Ruipeng, QU Dan, ZHU Shaowei, QIAN Yekui, TANG Yongwang

    Published in Jisuanji gongcheng (2020-08-01)
    Subjects: “…anomaly detection|log|temporal convolutional network(tcn)|activation function|adaptive average pooling…”
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    Article

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