Search for dissertations about: "interactive data mining thesis"

Showing result 1 - 5 of 13 swedish dissertations containing the words interactive data mining thesis.

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

    Author : Katerina Vrotsou; Matthew Cooper; Anders Ynnerman; Kajsa Ellegård; Andrew S. Harvey; Linköpings universitet; []
    Keywords : 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

  4. 2. 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 : 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

  5. 3. Random Forest for Histogram Data : An application in data-driven prognostic models for heavy-duty trucks

    Author : Ram Bahadur Gurung; Henrik Boström; Tony Lindgren; Niklas Lavesson; Stockholms universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Histogram data; random forest; NOx sensor failure; random forest interpretation; Computer and Systems Sciences; data- och systemvetenskap;

    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

  6. 4. Sentiment and Stance Visualization of Textual Data for Social Media

    Author : Kostiantyn Kucher; Andreas Kerren; Carita Paradis; Magnus Sahlgren; Ross Maciejewski; Linnéuniversitetet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; stance visualization; sentiment visualization; text visualization; stance analysis; sentiment analysis; opinion mining; visualization; interaction; visual analytics; NLP; text mining; text analytics; social media; Informations- och programvisualisering; Information and software visualization;

    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

  7. 5. Discovering Contiguous Sequential Patterns in Network-Constrained Movement

    Author : Can Yang; Yifang Ban; Gyözö Gidofalvi; Xiaoliang Ma; Clas Rydergren; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; map matching; trajectory pattern mining; closed contiguous sequential pattern mining; trajectory pattern visualization; Geodesy and Geoinformatics; Geodesi och geoinformatik;

    Abstract : A large proportion of movement in urban area is constrained to a road network such as pedestrian, bicycle and vehicle. That movement information is commonly collected by Global Positioning System (GPS) sensor, which has generated large collections of trajectories. READ MORE