"Master's Programme in Computational Big Data Analytics" - Selaus Tutkinto-ohjelman ja opintosuunnan mukaanOpinnäytteet - ylempi korkeakoulututkinto
Viitteet 1-19 / 19
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Applying Machine Learning Methods to Analyse Articulatory Dependency of Bone Conduction Transfer Functions
(2022)
Pro gradu -tutkielmaThe bone conduction (BC) refers to the sound that propagates to the inner ear through the human tissue and especially the skull instead of the air conduction (AC) pathway through outer- and middle-ears. The BC sound is a ... -
Automating the Discipline Analysis with Latent Dirichlet Allocation: A Case Study on 30 Core Journals of Library and Information Science Published in 2015
(2023)
Pro gradu -tutkielmaDiscipline analysis is an interesting and important research area, especially in the interdisciplinary and multidisciplinary fields of science, such as library and information science (LIS). Discipline analysis helps to ... -
Clustering of gearboxes based on load-test vibration measurements
(2023)
Pro gradu -tutkielma -
Credit Card Fraud Detection using One-Class Classification Algorithms
(2023)
Pro gradu -tutkielmaSimilar to most things in everyday life, the advent of payment cards also has good and bad sides. It undoubtedly, made life easier by bringing the whole payment system to a single card, but it also paved the way for a new ... -
Dynamic Topic Modeling and Clustering : Dynamic Topic Modeling and Clustering of Occupational Health and Safety Publications
(2022)
Pro gradu -tutkielmaIn recent years, natural language processing has advanced by creating new ways of modeling text using deep neural networks. These new models have demonstrated state of-the-art performance in several natural language ... -
Effects of Severe Data Imbalance on Evaluation of Support Vector Machines and Decision Trees
(2022)
Pro gradu -tutkielmaData imbalance refers to a phenomena when one of the classes is much better represented in the dataset compared to the others. Many researchers have been facing data imbalances in various fields, including medicine, fraud ... -
Fraudulent Respondent Recognition in Adolescents’ Health Survey Data : Comparison of Data Analysis Methods
(2021)
Pro gradu -tutkielmaWhen responding a pseudonymous survey, the participants are supposed to answer truthfully. Nevertheless, a setting with no personal connection to the researchers opens a possibility to give false answers, if a respondent ... -
Geospatial Analysis of The Spreading of COVID-19 In The United States
(2021)
Pro gradu -tutkielmaThe COVID-19 pandemic has been a big threat to public health and there is an increasing need for efficient modelling of pathogens, predicting the daily infection rates to reduce the spread of COVID-19. The Moran’s and ... -
Improving time series forecasting accuracy by ensemble methods and time series features
(2021)
Pro gradu -tutkielmaEnsemble methods can improve prediction accuracy of machine learning models, but applying ensemble methods in time series analysis is not feasible due to high dimensionality of time series. Augmenting time series data with ... -
Koneoppimisen tulevaisuus vakuutusyhtiöiden työvälineenä
(2021)
Pro gradu -tutkielmaVahinkovakuuttamisen perusperiaate on kattaa vakuutusmaksutuotoilla liiketoiminnan harjoittamisesta muodostuneiden kulujen lisäksi asiakkaille sattuvista vahinkotapahtumista koituneet kustannukset. Saavuttaakseen vakuutusten ... -
Korrespondenssianalyysin käyttö puuttuvia tietoja sisältävässä pitkittäisaineistossa
(2023)
Pro gradu -tutkielmaTässä työssä tutkittiin korrespondenssianalyysin käyttöä pitkittäisaineistossa, joka oli kerätty laajasta väestötutkimuksesta liittyen miesten eturauhasen terveydentilaan liittyen ja aineisto sisälsi puuttuvia tietoja. ... -
Longitudinal Mixture Modeling With Box-Cox Transformation : The Effects of Box-Cox Transformation on Latent Class Identification in Trajectory Analysis
(2022)
Pro gradu -tutkielmaThis thesis examined Box-Cox transformation as a method to improve the performance of longitudinal mixture models with non-normal data. Mixture models are know to over-estimate the number of classes when the assumption of ... -
Modelling of a health attribute for grocery data with Bradley-Terry model
(2022)
Pro gradu -tutkielmaA healthiness attribute for grocery data is needed for recommending healthier food choices for customers. Providing healthier choices encourages people to eat more healthily and may also put pressure on the food suppliers. ... -
Predicting the Building Envelope in BIM Models Using Graph Convolutional Neural Networks
(2022)
Pro gradu -tutkielmaIn recent years, Building Information Modeling (BIM) has become one of the leading techniques to maintain data from the lifespan of the building in the Architecture, Engineering and Construction industry. Compared to the ... -
Prediction of children's overweight using supervised learning
(2023)
Pro gradu -tutkielmaBeing overweight is a massive problem all over the world, and it affects developed countries also, including Finland. The aim of this thesis is to investigate whether is it possible to predict if a child is at risk to ... -
Price Determinants of Airbnb Apartments : An Approach with Deep Language Representations
(2021)
Pro gradu -tutkielmaAirbnb is a company that enables private persons to rent their apartments for short-term tourist accommodation. It facilitates the transaction between the buyer and the seller by hosting an online marketplace. The company ... -
Probabilistic Calibration of Bi-Class Machine Learning Algorithms for Analysing Breast Cancer Datasets
(2021)
Pro gradu -tutkielmaBreast cancer is one of the most widely spread diseases and the second leading cause of cancer death among women in the world. According to a 2013 World Health Organization report, it is stated that over 508,000 women died ... -
Radioamatöörilähetyksien puheentunnistus
(2023)
Pro gradu -tutkielmaViimeaikaiset edistysaskeleet tekoälyn käytössä (erityisesti syvät neuroverkot) ovat tehneet mahdolliseksi ns. päästä-päähän-puheentunnistusjärjestelmien suunnittelun ja rakentamisen. Aiemmat menetelmät perustuivat tutkijoiden ... -
Spatio-Temporal Prediction for Mobile Network Quality Analysis
(2020)
Pro gradu -tutkielmaMobile networks are under constant change and require frequent optimization and replanning. Towards this goal there are multiple tools however, the data coming from the user equipment is underutilized for this purpose. In ...
