Essays about: "dbscan"

Showing result 1 - 5 of 63 essays containing the word dbscan.

1. 1. Log Frequency Analysis for Anomaly Detection in Cloud Environments

   University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknik

   Author : Prathyusha Bendapudi; [2024]
   Keywords : Log Analysis; Log Frequency Patterns; anomaly detection; machine learning; cloud environments;

   Abstract : Background: Log analysis has been proven to be highly beneficial in monitoring system behaviour, detecting errors and anomalies, and predicting future trends in systems and applications. However, with continuous evolution of these systems and applications, the amount of log data generated on a timely basis is increasing rapidly. READ MORE

3. 2. Fixation and Machine Learning A new method for measuring fixation in internet users using machine learning and natural language processing

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Katarina Rivera Ahlin; [2023]
   Keywords : ;

   Abstract : Fixation — the state of mind where an individual is intensely fixated on one individual, activity or idea —  can be an early warning sign of an individual that will later go on to commit violent acts. This paper details the development of a method that measures fixation from texts written on internet forums, a method that could (when expanded) be a part of threat assessment and prevention of violence. READ MORE

4. 3. Exploring Advanced Clustering Techniques for Business Descriptions : A Comparative Study and Analysis of DBSCAN, K-Means, and Hierarchical Clustering

   University essay from Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)

   Author : Wisam Orabi Alkhen; [2023]
   Keywords : Machine learning; Business descriptions; Search scope reduction; Relevant business terminology; Data analysis.;

   Abstract : In this study, we introduce several approaches to analyze large volumes of business descriptions by applying machine learning clustering and classification algorithms. The goal is to efficiently classify these descriptions, reducing the search scope and allowing for better business insights and decision-making processes. READ MORE

5. 4. Clustering on groups for human tracking with 3D LiDAR

   University essay from Umeå universitet/Institutionen för datavetenskap

   Author : Simon Utterström; [2023]
   Keywords : Computer Vision; Computer Science; AI; Machine Learning; clustering; Kernel Density Clustering; tracking; LiDAR; 3D LiDAR; tracking; human; pedestrian; real time; Datavetenskap; Dataseende; clustering; SLR; CVC; KDEG; KDE; Kernel Density Clustering; HDBSCAN; DBSCAN; LiDAR; point cloud; tracking; human; pedestrian;

   Abstract : 3D LiDAR people detection and tracking applications rely on extracting individual people from the point cloud for reliable tracking. A recurring problem for these applications is under-segmentation caused by people standing close or interacting with each other, which in turn causes the system to lose tracking. READ MORE

6. 5. Fake Mass-Produced Advertisements Detection on Global Online Adult Service Websites

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Ernest Pokropek; [2023]
   Keywords : Machine learning; Spam detection; Mass-produced spam; Global adult online services; Maskininlärning; Detektering av Spam; Massproducerad Spam; Globala Webbplatser som Erbjuder Eskorttjänster;

   Abstract : A significant amount of sex trafficking victims are being advertised on online adult services, which are currently being flooded with spam. Investigators rely on online adult services to track cases of sex trafficking; however, the ever-increasing volume of spam poses a mounting challenge, making their task progressively more difficult. READ MORE