Search for dissertations about: "thesis on data mining"

Showing result 1 - 5 of 284 swedish dissertations containing the words thesis on data mining.

  1. 1. Everyday mining : Exploring sequences in event-based data

    Author : Katerina Vrotsou; Matthew Cooper; Anders Ynnerman; Kajsa Ellegård; Andrew S. Harvey; Linköpings universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Event-based data; activity diary data; event-sequences; interactive exploration; sequence identification; visual data mining; Computer science; Datavetenskap;

    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

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

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

    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. Algorithmically Guided Information Visualization : Explorative Approaches for High Dimensional, Mixed and Categorical Data

    Author : Sara Johansson Fernstad; Mikael Jern; Jimmy Johansson; Jane Shaw; Matthew O. Ward; Linköpings universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Information visualization; data mining; high dimensional data; categorical data; mixed 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

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

    Author : Tuve Löfström; Högskolan i Skövde; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; Ensemble Learning; Machine Learning; Diversity; Artificial Neural Networks; Data Mining; Information Fusion; Computer science; Datavetenskap; Teknik; Technology; ensemble learning; machine learning; diversity; artificial neural networks; information fusion; Computer Science; data mining;

    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

  5. 5. Data-driven AI Techniques for Fashion and Apparel Retailing

    Author : Chandadevi Giri; Ulf Johansson; Jenny Balkow; Xianyi Zeng; Sebastien Thomessey; Maria Riveiro; Högskolan i Borås; []
    Keywords : SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; SAMHÄLLSVETENSKAP; NATURAL SCIENCES; SOCIAL SCIENCES; Digitalization; artificial intelligence; fashion and apparel industry; churn prediction; sales forecasting; campaign analysis; data driven AI decision-making; 数字化,人工智能,服装产业,客户流失预测,销售预测,竞争分析,数据驱动的人 工智能决策; Digitalisation; intelligence artificielle IA; industrie de la mode et de l habillement; prédiction de désabonnement; prévision des ventes; analyse des promotions; Prise de décision par IA axée sur les données; Digitalisering; Artificiell intelligens; Modeindustrin; Churnprediktion; Försäljningsprognoser; Kampanjanalys; Datadriven AI; Beslutsstöd; Business and IT; Handel och IT; Textil och mode generell ; Textiles and Fashion General ;

    Abstract : Digitalisation allows companies to develop many new ways of interacting with customers and other stakeholders. These digital interactions typically generate data that can be stored and later processed for different objectives. READ MORE