Search for dissertations about: "time series data mining"
Showing result 1 - 5 of 33 swedish dissertations containing the words time series data mining.
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1. Data Stream Mining and Analysis : Clustering Evolving Data
Abstract : Streaming data is becoming more prevalent in our society every day. With the increasing use of technologies such as the Internet of Things (IoT) and 5G networks, the number of possible data sources steadily increases. Therefore, there is a need to develop algorithms that can handle the massive amount of data we now generate. READ MORE
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2. Z-Series : Mining and learning from complex sequential data
Abstract : The amount and complexity of sequential data collected across various domains have grown rapidly, posing significant challenges for extracting useful knowledge from such data sources. The complexity arises from diverse sequence representations with varying granularities, such as multivariate time series, histogram snapshots, and heterogeneous health records, which often describe a single data instance with multiple sequences. READ MORE
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3. Mining Clinical Text in Cancer Care
Abstract : Health care and clinical practice generate large amounts of text detailing symptoms, test results, diagnoses, treatments, and outcomes for patients. This clinical text, documented in health records, is a potential source of knowledge and an underused resource for improved health care. READ MORE
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4. Mining Mozambique Health Data : The Case of Malaria: From Bayesian Incidence Risk to Incidence Case Predictions
Abstract : The health sector in Mozambique is piled with data, holding records of major public health diseases, such as malaria, cholera, etc. The process of scrutinizing such a mass of health data for useful information is challenging but essential for the health authorities and professionals. READ MORE
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5. Data mining for prediction - financial series case
Abstract : Hard problems force innovative approaches and attention todetail, their exploration often contributing beyond the areainitially attempted. This thesis investigates the data miningprocess resulting in a predictor for numerical series.Theseries experimented with come from financial data - usuallyhard to forecast. READ MORE