Search for dissertations about: "Data clustering"

Showing result 1 - 5 of 342 swedish dissertations containing the words Data clustering.

  2. 1. Data Stream Mining and Analysis : Clustering Evolving Data

    Author : Christian Nordahl; Håkan Grahn; Veselka Boeva; Marie Netz; Plamen Angelov; Blekinge Tekniska Högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Data Stream Mining; Clustering; Data Streams; Data Mining; Computer Science; Datavetenskap;

    Abstract : Streaming data is becoming more prevalent in our society every day. With the increasing use of technologies such as the Internet of Things (IoT) and 5G networks, the number of possible data sources steadily increases. Therefore, there is a need to develop algorithms that can handle the massive amount of data we now generate. READ MORE

  4. 2. Parallel Data Streaming Analytics in the Context of Internet of Things

    Author : Hannaneh Najdataei; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; clustering; stream continuous data processing; edge computing; Internet of Things; parallelism; elasticity; data analysis; fog computing; scalability;

    Abstract : We are living in an increasingly connected world, where the ubiquitously sensing technologies enable inter-connection of physical objects, as part of Internet of Things (IoT), and provide continuous massive amount of data. As this growth soars, benefits and challenges come together, which requires development of right tools in order to extract valuable information from data. READ MORE

  5. 3. Text Clustering Exploration : Swedish Text Representation and Clustering Results Unraveled

    Author : Magnus Rosell; Viggo Kann; Tapio Salakoski; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Informatics; computer and systems science; Informatik; data- och systemvetenskap;

    Abstract : Text clustering divides a set of texts into clusters (parts), so that texts within each cluster are similar in content. It may be used to uncover the structure and content of unknown text sets as well as to give new perspectives on familiar ones. READ MORE

  6. 4. Mining Evolving and Heterogeneous Data : Cluster-based Analysis Techniques

    Author : Vishnu Manasa Devagiri; Veselka Boeva; Niklas Lavesson; Shehroz Khan; Blekinge Tekniska Högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Domain Adaptation; Evolving Clustering; Heterogeneous Data; Multi-View Clustering; Streaming Data; Computer Science; Datavetenskap;

    Abstract : A large amount of data is generated from fields like IoT, smart monitoring applications, etc., raising demand for suitable data analysis and mining techniques. READ MORE

  7. 5. 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