Search for dissertations about: "thesis on visual data mining"
Showing result 1 - 5 of 21 swedish dissertations containing the words thesis on visual data mining.
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1. Everyday mining : Exploring sequences in event-based data
Abstract : Event-based data are encountered daily in many disciplines and are used for various purposes. They are collections of ordered sequences of events where each event has a start time and a duration. READ MORE
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2. Algorithmically Guided Information Visualization : Explorative Approaches for High Dimensional, Mixed and Categorical Data
Abstract : Facilitated by the technological advances of the last decades, increasing amounts of complex data are being collected within fields such as biology, chemistry and social sciences. The major challenge today is not to gather data, but to extract useful information and gain insights from it. READ MORE
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3. Mining Speech Sounds : Machine Learning Methods for Automatic Speech Recognition and Analysis
Abstract : This thesis collects studies on machine learning methods applied to speech technology and speech research problems. The six research papers included in this thesis are organised in three main areas. The first group of studies were carried out within the European project Synface. READ MORE
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4. Sentiment and Stance Visualization of Textual Data for Social Media
Abstract : Rapid progress in digital technologies has transformed the world in many ways during the past few decades, in particular, with the new means of communication such as social media. Social media platforms typically rely on textual data produced or shared by the users in multiple timestamped posts. READ MORE
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5. Random Forest for Histogram Data : An application in data-driven prognostic models for heavy-duty trucks
Abstract : Data mining and machine learning algorithms are trained on large datasets to find useful hidden patterns. These patterns can help to gain new insights and make accurate predictions. Usually, the training data is structured in a tabular format, where the rows represent the training instances and the columns represent the features of these instances. READ MORE