Sökning: "Large scale data"

Visar resultat 1 - 5 av 1519 avhandlingar innehållade orden Large scale data.

1. 1. Web Applications for Large-Scale Decision Support : Preference Elicitation, Modeling and Visualization

   Författare :Samuel Bohman; Aron Larsson; Bo Sundgren; Majlender Peter; Göran Cars; Øystein Sæbø; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; World Wide Web; Decision Support Systems; Data Visualization; Man-Machine-Interaction MMI ; människa-maskin-interaktion MMI ;

   Sammanfattning : This thesis addresses the lack of effective and efficient technology design in current e-participation research by investigating two approaches that yet have not been explored to any great extent in the literature: decision science and data visualization. It is concerned with the problem of how to combine techniques from these two fields to achieve decision support in the context of e-participation; from preference elicitation and modeling to data analysis, visualization and final recommendations, such that it can provide value to practitioners. LÄS MER

3. 2. Order in the random forest

   Författare :Isak Karlsson; Henrik Boström; Lars Asker; Pierre Geurts; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Machine learning; random forest; ensemble; time series; data series; sequential data; sparse data; high-dimensional data; Computer and Systems Sciences; data- och systemvetenskap;

   Sammanfattning : In many domains, repeated measurements are systematically collected to obtain the characteristics of objects or situations that evolve over time or other logical orderings. Although the classification of such data series shares many similarities with traditional multidimensional classification, inducing accurate machine learning models using traditional algorithms are typically infeasible since the order of the values must be considered. LÄS MER

4. 3. Analysis of large-scale metagenomic data

   Författare :Fredrik Boulund; Göteborgs universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; metagenomics; DNA analysis; big data; antibiotic resistance; hidden Markov models; high-performance computing; distributed computing; distributed computing;

   Sammanfattning : The topic of this thesis is the analysis of large data sets of DNA sequence data produced from modern high-throughput DNA sequencing machines. Using such machines to sequence the genetic content of a microbial community produces a metagenome. This thesis comprises three research papers, all connected to the study of large metagenomic data sets. LÄS MER

5. 4. Large-Scale Information Acquisition for Data and Information Fusion

   Författare :Ronnie Johansson; Henrik I. Christensen; David Nicholson; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; sensor management; perception management; data fusion; information fusion; large-scale information acquisition; multi-agent coordination protocol; axiomatic bargaining theory; particle filter tracking; pyro-electric infrared sensor; multi-robot system; Computer science; Datalogi;

   Sammanfattning : The purpose of information acquisition for data and information fusion is to provide relevant and timely information. The acquired information is integrated (or fused) to estimate the state of some environment. LÄS MER

7. 5. Large-scale Runoff Generation and Routing : Efficient Parameterisation using High-resolution Topography and Hydrography

   Författare :Lebing Gong; Sven Halldin; C.-Y. Xu; Allan Rodhe; Thorsten Wagener; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Parameterisation; runoff generation; routing; WASMOD-M; hydrography; data uncertainty; topographic index; scale; river network; response function; HydroSHEDS; HYDRO1k; Dongjiang basin; Parametrisering; avrinningsbildning; flödessvarstid; WASMOD-M; hydrografi; topografiskt index; dataosäkerhet; skala; flödesnät; svarstidssfunktion; HYDRO1k; HydroSHEDS; Dongjiang; Hydrology; Hydrologi; Hydrology; Hydrologi;

   Sammanfattning : Water has always had a controlling influence on the earth’s evolution. Understanding and modelling the large-scale hydrological cycle is important for climate prediction and water-resources studies. LÄS MER