Search for dissertations about: "Veselka Boeva"
Showing result 1 - 5 of 6 swedish dissertations containing the words Veselka Boeva.
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1. Data Mining Approaches for Outlier Detection Analysis
Abstract : Outlier detection is studied and applied in many domains. Outliers arise due to different reasons such as fraudulent activities, structural defects, health problems, and mechanical issues. The detection of outliers is a challenging task that can reveal system faults, fraud, and save people's lives. READ MORE
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2. Data Modeling for Outlier Detection
Abstract : This thesis explores the data modeling for outlier detection techniques in three different application domains: maritime surveillance, district heating, and online media and sequence datasets. The proposed models are evaluated and validated under different experimental scenarios, taking into account specific characteristics and setups of the different domains. READ MORE
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3. Clustering Techniques for Mining and Analysis of Evolving Data
Abstract : The amount of data generated is on rise due to increased demand for fields like IoT, smart monitoring applications, etc. Data generated through such systems have many distinct characteristics like continuous data generation, evolutionary, multi-source nature, and heterogeneity. READ MORE
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4. Energy Efficiency in Machine Learning : Approaches to Sustainable Data Stream Mining
Abstract : Energy efficiency in machine learning explores how to build machine learning algorithms and models with low computational and power requirements. Although energy consumption is starting to gain interest in the field of machine learning, still the majority of solutions focus on obtaining the highest predictive accuracy, without a clear focus on sustainability. READ MORE
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5. Data-Driven Techniques for Modeling and Analysis of User Behavior
Abstract : Our society is becoming more digitalized for each day. Now, we are able to gather data from individual users with higher resolution than ever. With the increased amount of data on an individual user level, we can analyze their behavior. READ MORE