Search for dissertations about: "Mining diversity"

Showing result 1 - 5 of 18 swedish dissertations containing the words Mining diversity.

  1. 1. Utilizing Diversity and Performance Measures for Ensemble Creation

    Author : Tuve Löfström; Högskolan i Skövde; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Ensemble Learning; Machine Learning; Diversity; Artificial Neural Networks; Data Mining; Information Fusion; Computer science; Datavetenskap; Teknik; Technology;

    Abstract : An ensemble is a composite model, aggregating multiple base models into one predictive model. An ensemble prediction, consequently, is a function of all included base models. Both theory and a wealth of empirical studies have established that ensembles are generally more accurate than single predictive models. READ MORE

  2. 2. Obtaining Accurate and Comprehensible Data Mining Models : An Evolutionary Approach

    Author : Ulf Johansson; Lars Niklasson; Tom Ziemke; Thorsteinn Rögnvaldsson; Linköpings universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Rule extraction; Ensembles; Data mining; Genetic programming; Artificial neural networks; Computer science; Datalogi;

    Abstract : When performing predictive data mining, the use of ensembles is claimed to virtually guarantee increased accuracy compared to the use of single models. Unfortunately, the problem of how to maximize ensemble accuracy is far from solved. READ MORE

  3. 3. Microbial nitrate removal from mining waters

    Author : Maria Hellman; Sveriges lantbruksuniversitet; Sveriges lantbruksuniversitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES;

    Abstract : Mining activities cause high levels of nitrogen in the process water. The nitrogen originates from the blasting procedure, where undetonated explosives in the form of ammonium nitrate dissolve in the water. Part of the water is discharged to receiving water bodies where it may cause environmental problems. READ MORE

  4. 4. Use of data mining and artificial intelligence to derive public health evidence from large datasets

    Author : Hugo Fitipaldi; Genetisk och molekylär epidemiologi; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; artificial Intelligence; data mining; genome-wide association studies; covid-19;

    Abstract : This thesis explores the use of data mining and AI-tailored frameworks for extracting public health evidence from large health datasets. The research presented in this thesis demonstrates the potential of these tools for automating and simplifying the data mining process, and for providing valuable insights into various public health issues. READ MORE

  5. 5. Mining Web Logs to Improve User Experience in Web Search

    Author : Libertad Tansini; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Web log mining; web search; user intent; user recommendation; user modelling;

    Abstract : The World Wide Web continues to grow in size and diversity and this makes it increasinglyhard for users to find valuable information because of heterogeneous form and contentof the documents, little knowledge about the reliability and prestige of the documents anda great deal of redundancy.Usually search engines look for documents that contain specific keywords or phrasesstated by the users as queries. READ MORE