Sökning: "spatial data mining"

Visar resultat 1 - 5 av 32 avhandlingar innehållade orden spatial data mining.

  1. 1. 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

  3. 2. Finding, extracting and exploiting structure in text and hypertext

    Författare :Ola Ågren; Jürgen Börstler; Frank Drewes; Maarten de Rijke; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Automatic propagation; CHiC; Data mining; Discrete data; Extraction; Hierarchies; ProT; Rank distribution; S²ProT; Spatial linking; Web mining; Web searching; Computer science; Datalogi; business data processing; administrativ databehandling;

    Sammanfattning : Data mining is a fast-developing field of study, using computations to either predict or describe large amounts of data. The increase in data produced each year goes hand in hand with this, requiring algorithms that are more and more efficient in order to find interesting information within a given time. LÄS MER

  4. 3. Mining Mozambique Health Data : The Case of Malaria: From Bayesian Incidence Risk to Incidence Case Predictions

    Författare :Orlando P. Zacarias; Henrik Boström; Mats Danielson; Niklas Lavesson; Stockholms universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Computer and Systems Sciences; data- och systemvetenskap;

    Sammanfattning : The health sector in Mozambique is piled with data, holding records of major public health diseases, such as malaria, cholera, etc. The process of scrutinizing such a mass of health data for useful information is challenging but essential for the health authorities and professionals. LÄS MER

  5. 4. Understanding Human Mobility with Emerging Data Sources: Validation, spatiotemporal patterns, and transport modal disparity

    Författare :Yuan Liao; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; travel mode; data mining; travel time; mobility; social media data; gravity model; Twitter; geographical information systems;

    Sammanfattning : Human mobility refers to the geographic displacement of human beings, seen as individuals or groups, in space and time. The understanding of mobility has broad relevance, e.g., how fast epidemics spread globally. LÄS MER

  7. 5. Understanding Mobility and Transport Modal Disparities Using Emerging Data Sources: Modelling Potentials and Limitations

    Författare :Yuan Liao; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; data mining; geographical information systems; mobility models; big trip data; transport modes; traffic data; social media data;

    Sammanfattning : Transportation presents a major challenge to curb climate change due in part to its ever-increasing travel demand. Better informed policy-making requires up-to-date empirical mobility data to model viable mitigation options for reducing emissions from the transport sector. LÄS MER