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Generating Character-Based Templates for Log Data 为日志数据生成基于字符的模板
Smart Log Data Analytics
Pub Date : 1900-01-01 DOI: 10.1007/978-3-030-74450-2_4
Florian Skopik, Markus Wurzenberger, Max Landauer
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引用次数: 0
Variable Type Detector for Statistical Analysis of Log Tokens 用于日志令牌统计分析的变量类型检测器
Smart Log Data Analytics
Pub Date : 1900-01-01 DOI: 10.1007/978-3-030-74450-2_8
Florian Skopik, Markus Wurzenberger, Max Landauer
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引用次数: 0
Incremental Log Data Clustering for Processing Large Amounts of Data Online 支持增量日志数据聚类，支持在线处理大数据
Smart Log Data Analytics
Pub Date : 1900-01-01 DOI: 10.1007/978-3-030-74450-2_3
Florian Skopik, Markus Wurzenberger, Max Landauer
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引用次数: 0
AECID: A Light-Weight Log Analysis Approach for Online Anomaly Detection AECID:用于在线异常检测的轻量级日志分析方法
Smart Log Data Analytics
Pub Date : 1900-01-01 DOI: 10.1007/978-3-030-74450-2_6
Florian Skopik, Markus Wurzenberger, Max Landauer
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引用次数: 0
Survey on Log Clustering Approaches 日志聚类方法综述
Smart Log Data Analytics
Pub Date : 1900-01-01 DOI: 10.1007/978-3-030-74450-2_2
Florian Skopik, Markus Wurzenberger, Max Landauer
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引用次数: 1
A Concept for a Tree-Based Log Parser Generator 基于树的日志解析器生成器的概念
Smart Log Data Analytics
Pub Date : 1900-01-01 DOI: 10.1007/978-3-030-74450-2_7
Florian Skopik, Markus Wurzenberger, Max Landauer
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引用次数: 0
Smart Log Data Analytics: Techniques for Advanced Security Analysis 智能日志数据分析:高级安全分析技术
Smart Log Data Analytics
Pub Date : 1900-01-01 DOI: 10.1007/978-3-030-74450-2
Florian Skopik, Markus Wurzenberger, Max Landauer
{"title":"Smart Log Data Analytics: Techniques for Advanced Security Analysis","authors":"Florian Skopik, Markus Wurzenberger, Max Landauer","doi":"10.1007/978-3-030-74450-2","DOIUrl":"https://doi.org/10.1007/978-3-030-74450-2","url":null,"abstract":"","PeriodicalId":164825,"journal":{"name":"Smart Log Data Analytics","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126916697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Time Series Analysis for Temporal Anomaly Detection 时间序列分析用于时间异常检测
Smart Log Data Analytics
Pub Date : 1900-01-01 DOI: 10.1007/978-3-030-74450-2_5
Florian Skopik, Markus Wurzenberger, Max Landauer
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引用次数: 0
Final Remarks 最后的评论
Smart Log Data Analytics
Pub Date : 1900-01-01 DOI: 10.1007/978-3-030-74450-2_9
Florian Skopik, Markus Wurzenberger, Max Landauer
{"title":"Final Remarks","authors":"Florian Skopik, Markus Wurzenberger, Max Landauer","doi":"10.1007/978-3-030-74450-2_9","DOIUrl":"https://doi.org/10.1007/978-3-030-74450-2_9","url":null,"abstract":"","PeriodicalId":164825,"journal":{"name":"Smart Log Data Analytics","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121874149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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