Search for dissertations about: "Graph Data"

Showing result 1 - 5 of 235 swedish dissertations containing the words Graph Data.

  2. 1. Order-preserving graph grammars

    Author : Petter Ericson; Henrik Björklund; Frank Drewes; Sebastian Maneth; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Graph grammars; graph parsing; graph series; hyperedge replacement; uniform parsing problem; abstract meaning representation; semantic modelling; order preservation; reentrancy preservation; minimally adequate teacher; weighted graph grammars;

    Abstract : The field of semantic modelling concerns formal models for semantics, that is, formal structures for the computational and algorithmic processing of meaning. This thesis concerns formal graph languages motivated by this field. READ MORE

  4. 2. Learning predictive models from graph data using pattern mining

    Author : Thashmee M. Karunaratne; Henrik Boström; Lars Asker; Nada Lavraˇc; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Machine Learning; Graph Data; Pattern Mining; Classification; Regression; Predictive Models; Computer and Systems Sciences; data- och systemvetenskap;

    Abstract : Learning from graphs has become a popular research area due to the ubiquity of graph data representing web pages, molecules, social networks, protein interaction networks etc. However, standard graph learning approaches are often challenged by the computational cost involved in the learning process, due to the richness of the representation. READ MORE

  5. 3. 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

  6. 4. Methods and Algorithms for Data-Intensive Computing : Streams, Graphs, and Geo-Distribution

    Author : Hooman Peiro Sajjad; Vladimir Vlassov; Keijo Heljanko; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; stream processing; geo-distributed infrastructure; edge computing; streaming graph; dynamic graph; Informations- och kommunikationsteknik; Information and Communication Technology; Datalogi; Computer Science;

    Abstract : Struggling with the volume and velocity of Big Data has attracted lots of interest towards stream processing paradigm, a paradigm in the area of data-intensive computing that provides methods and solutions to process data in motion. Today's Big Data includes geo-distributed data sources. READ MORE

  7. 5. Graph Partitioning and Planted Partitions

    Author : Mikael Onsjö; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; planted partition; graph bisection; algorithms; graphs; graph partitioning; clustering;

    Abstract : Graph partitioning is the problem of splitting a graph into two or morepartitions of fixed sizes while minimizing the number of edges that are “cut”.This is an important problem with a wide range of applications in fields suchas VLSI design, parallel processing, bioinformatics, data mining etc. READ MORE