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  "access_rights": "",
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  "author": "Raman Singh",
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  "author": "Raman Singh",
            
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  "defined_in": "https://doi.org/10.5121/csit.2013.3704",
            
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  "doi": "10.57702/vm8ggsdy",
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  "doi": "10.57702/vm8ggsdy",
            
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  "doi_date_published": "2025-01-02",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Harish Kumar",
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      "extra_author": "Harish Kumar",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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      "extra_author": "R.K. Singla",
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      "extra_author": "R.K. Singla",
            
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      "orcid": ""
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      "orcid": ""
            
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      "title": "Machine Learning"
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      "title": "Machine Learning"
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Network Traffic Analysis",
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      "display_name": "Network Traffic Analysis",
            
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      "name": "network-traffic-analysis",
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      "name": "network-traffic-analysis",
            
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      "title": "Network Traffic Analysis"
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      "title": "Network Traffic Analysis"
            
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    }
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  ],
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mbalances_in_network_traffic_dataset_for_machine_learning_techniques",
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mbalances_in_network_traffic_dataset_for_machine_learning_techniques",
            
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  "metadata_modified": "2025-01-02T23:50:48.009052",
            
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  "name": "panjab-university-test-data-set--pu-tds-",
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  "name": "panjab-university-test-data-set--pu-tds-",
            
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  "notes": "Network traffic dataset is huge, varying and imbalanced 
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  "notes": "Network traffic dataset is huge, varying and imbalanced 
            
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because various classes are not equally distributed. Network traffic 
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because various classes are not equally distributed. Network traffic 
            
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data is huge, varying and imbalanced because various classes are not 
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data is huge, varying and imbalanced because various classes are not 
            
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equally distributed. Machine learning (ML) algorithms for traffic 
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equally distributed. Machine learning (ML) algorithms for traffic 
            
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analysis uses the samples from this data to recommend the actions to 
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analysis uses the samples from this data to recommend the actions to 
            
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be taken by the network administrators as well as training. Due to 
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be taken by the network administrators as well as training. Due to 
            
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imbalances in dataset, it is difficult to train machine learning 
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imbalances in dataset, it is difficult to train machine learning 
            
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algorithms for traffic analysis and these may give biased or false 
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algorithms for traffic analysis and these may give biased or false 
            
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results leading to serious degradation in performance of these 
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results leading to serious degradation in performance of these 
            
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algorithms.",
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algorithms.",
            
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      "display_name": "Network Traffic",
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      "display_name": "Network Traffic",
            
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      "name": "Network Traffic",
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  ],
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  "title": "Panjab University-Test Data Set (PU-TDS)",
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  "title": "Panjab University-Test Data Set (PU-TDS)",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}