Search for dissertations about: "Mining diversity"
Showing result 1 - 5 of 18 swedish dissertations containing the words Mining diversity.
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1. Utilizing Diversity and Performance Measures for Ensemble Creation
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
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2. Obtaining Accurate and Comprehensible Data Mining Models : An Evolutionary Approach
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
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3. Microbial nitrate removal from mining waters
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
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4. Use of data mining and artificial intelligence to derive public health evidence from large datasets
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
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5. Mining Web Logs to Improve User Experience in Web Search
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