Essays about: "Data mining"
Showing result 21 - 25 of 656 essays containing the words Data mining.
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21. Evaluating clustering techniques in financial time series
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : This degree project aims to investigate different evaluation strategies for clustering methodsused to cluster multivariate financial time series. Clustering is a type of data mining techniquewith the purpose of partitioning a data set based on similarity to data points in the same cluster,and dissimilarity to data points in other clusters. READ MORE
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22. Recommendation of Text Properties for Short Texts with the Use of Machine Learning : A Comparative Study of State-of-the-Art Techniques Including BERT and GPT-2
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Text mining has gained considerable attention due to the extensive usage ofelectronic documents. The significant increase in electronic document usagehas created a necessity to process and analyze them effectively. READ MORE
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23. The effect of mine closures on depopulation in the Principality of Asturias, Spain
University essay from Lunds universitet/Ekonomisk-historiska institutionenAbstract : The paper examines the impact of the mining sector's closure on population decline patterns in the Principality of Asturias, Spain. It utilizes two distinct databases of own construction that provide disaggregated data on the region's 78 councils. READ MORE
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24. Organizational Readiness for Initiating the Implementation of the RAMP Tool : A case study of LKAB Malmberget
University essay from KTH/ErgonomiAbstract : In Sweden, all employers are obligated to provide occupational health services that prevent and eliminate health risks in the workplace. Risk assessment is one of the recommended procedures of systematic work environment management that employers shall conduct to investigate the occurrence of workplace risks. READ MORE
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25. Improving Change Point Detection Using Self-Supervised VAEs : A Study on Distance Metrics and Hyperparameters in Time Series Analysis
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis addresses the optimization of the Variational Autoencoder-based Change Point Detection (VAE-CP) approach in time series analysis, a vital component in data-driven decision making. We evaluate the impact of various distance metrics and hyperparameters on the model’s performance using a systematic exploration and robustness testing on diverse real-world datasets. READ MORE