Essays about: "avvikande mönster"

Showing result 1 - 5 of 15 essays containing the words avvikande mönster.

1. 1. Autoencoder outlier detection during the Covid-19 vaccination campaign

   University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisation

   Author : Thomas Eriksson; [2022]
   Keywords : Vaccine side effects; Covid-19; Outlier detection in high-dimensional data; Deep learning; Machine learning; AI; Autoencoder; Healthcare registers.; Physics and Astronomy; Medicine and Health Sciences;

   Abstract : Outlier detection in high-dimensional data is a complex task, useful in many fields. One major application is in healthcare, where the high-dimensional healthcare registers can be used to detect patterns related to the medical behaviour and state of the population. READ MORE

3. 2. Outlier detection with ensembled LSTM auto-encoders on PCA transformed financial data

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

   Author : Love Stark; [2021]
   Keywords : Long Short-Term Memory Recurrent Neural Networks LSTM ; Ensemble learning; Auto-Encoder; anomaly detection; financial data; deep learning; Principal Component Analysis PCA ; Long Short-Term Memory Recurrent Neural Networks LSTM ; Ensemble lärande; Auto-Encoder; avvikelse detektering; finansiell data; djupinlärning; Principal Component Analysis PCA ;

   Abstract : Financial institutions today generate a large amount of data, data that can contain interesting information to investigate to further the economic growth of said institution. There exists an interest in analyzing these points of information, especially if they are anomalous from the normal day-to-day work. READ MORE

4. 3. EVALUATION OF UNSUPERVISED MACHINE LEARNING MODELS FOR ANOMALY DETECTION IN TIME SERIES SENSOR DATA

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

   Author : Lorenzo Bracci; Amirhossein Namazi; [2021]
   Keywords : Machine learning; Unsupervised learning; Anomaly detection; Time Series data; Maskininlärning; Oövervakat Lärande; Anomalidetektering; tidsseriedata;

   Abstract : With the advancement of the internet of things and the digitization of societies sensor recording time series data can be found in an always increasing number of places including among other proximity sensors on cars, temperature sensors in manufacturing plants and motion sensors inside smart homes. This always increasing reliability of society on these devices lead to a need for detecting unusual behaviour which could be caused by malfunctioning of the sensor or by the detection of an uncommon event. READ MORE

5. 4. Analyzing Radial Basis Function Neural Networks for predicting anomalies in Intrusion Detection Systems

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

   Author : Sai Shyamsunder Kamat; [2019]
   Keywords : anomaly; cyber security; evaluation; machine learning; radial basis function; random forest classifier; supervised learning; anomali; cybersäkerhet; utvärdering; maskininlärning; radialbaserad funktion; slumpmässig skogsklassificering; övervakad inlärning;

   Abstract : In the 21st century, information is the new currency. With the omnipresence of devices connected to the internet, humanity can instantly avail any information. However, there are certain are cybercrime groups which steal the information. READ MORE

6. 5. Unsupervised anomaly detection on log-based time series data

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

   Author : Oskar Granlund; [2019]
   Keywords : ;

   Abstract : Due to a constant increase in the number of connected devices and there is an increased demand for confidentiality, availability, and integrity on applications. This thesis was focused on unsupervised anomaly detection in data centers. READ MORE