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Visar resultat 16 - 20 av 372 avhandlingar som matchar ovanstående sökkriterier.
16. Mining Mozambique Health Data : The Case of Malaria: From Bayesian Incidence Risk to Incidence Case Predictions
Sammanfattning : 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. LÄS MER
17. Finding, extracting and exploiting structure in text and hypertext
Sammanfattning : Data mining is a fast-developing field of study, using computations to either predict or describe large amounts of data. The increase in data produced each year goes hand in hand with this, requiring algorithms that are more and more efficient in order to find interesting information within a given time. LÄS MER
18. Understanding Human Mobility with Emerging Data Sources: Validation, spatiotemporal patterns, and transport modal disparity
Sammanfattning : Human mobility refers to the geographic displacement of human beings, seen as individuals or groups, in space and time. The understanding of mobility has broad relevance, e.g., how fast epidemics spread globally. LÄS MER
19. Energy Efficiency in Machine Learning : Approaches to Sustainable Data Stream Mining
Sammanfattning : 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. LÄS MER
20. Extraction and Energy Efficient Processing of Streaming Data
Sammanfattning : The interest in machine learning algorithms is increasing, in parallel with the advancements in hardware and software required to mine large-scale datasets. Machine learning algorithms account for a significant amount of energy consumed in data centers, which impacts the global energy consumption. LÄS MER