Sökning: "visual data mining"

Visar resultat 1 - 5 av 24 avhandlingar innehållade orden visual data mining.

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

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

   Sammanfattning : 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. LÄS MER

3. 2. Data mining of geospatial data: combining visual and automatic methods

   Författare :Urška Demšar; Hans Hauska; Peter A. Burrough; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; geographic information science; geoinformatics; geovisualisation; spatial data mining; visual data mining; usability evaluation; Other information technology; Övrig informationsteknik;

   Sammanfattning : Most of the largest databases currently available have a strong geospatial component and contain potentially useful information which might be of value. The discipline concerned with extracting this information and knowledge is data mining. Knowledge discovery is performed by applying automatic algorithms which recognise patterns in the data. LÄS MER

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

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

   Sammanfattning : 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. LÄS MER

5. 4. Mining Speech Sounds : Machine Learning Methods for Automatic Speech Recognition and Analysis

   Författare :Giampiero Salvi; Björn Granström; Torbjørn Svendsen; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; speech; machine learning; data mining; signal processing; Computer science; Datavetenskap;

   Sammanfattning : 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. LÄS MER

7. 5. A toolbox for idea generation and evaluation : Machine learning, data-driven, and contest-driven approaches to support idea generation

   Författare :Workneh Yilma Ayele; Gustaf Juell-Skielse; Paul Johannesson; Ahmed Elragal; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Idea generation; idea mining; data-driven idea generation; data-driven idea evaluation; toolbox for idea generation; toolbox for idea evaluation; contest-driven idea generation; machine learning for idea generation; text mining for idea generation; analytics for idea generation; human-centred AI for creativity; data- och systemvetenskap; Computer and Systems Sciences;

   Sammanfattning : Ideas are sources of creativity and innovation, and there is an increasing demand for innovation. For example, the start-up ecosystem has grown in both number and global spread. As a result, established companies need to monitor more start-ups than before and therefore need to find new ways to identify, screen, and collaborate with start-ups. LÄS MER