Sökning: "data pattern"

Visar resultat 6 - 10 av 1572 avhandlingar innehållade orden data pattern.

  1. 6. Integrating multi-omics for type 2 diabetes : Data science and big data towards personalized medicine

    Författare :Klev Diamanti; Jan Komorowski; Claes Wadelius; Manfred Grabherr; Peter Spégel; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; type 2 diabetes; multi-omics; genomics; metabolomics; data science; machine learning; personalized medicine; Bioinformatics; Bioinformatik;

    Sammanfattning : Type 2 diabetes (T2D) is a complex metabolic disease characterized by multi-tissue insulin resistance and failure of the pancreatic β-cells to secrete sufficient amounts of insulin. Cells recruit transcription factors (TF) to specific genomic loci to regulate gene expression that consequently affects the protein and metabolite abundancies. LÄS MER

  3. 7. A Unified Framework for e-Commerce Systems Development : Business Process Pattern Perspective

    Författare :Prasad M. Jayaweera; Paul Johannesson; Hans Weigand; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; e-Commerce; Business Model; Process Model; UMM UN CEFACT’s Modeling Methodology ; BPMN Business Process Modeling Notation ; Speech Acts; REA Ontology Resource-Event-Agent Ontology ; Enterprise Modeling Ontology; ebXML Electronic Business using eXtensible Markup Language ; Business Collaboration; Computer science; Datavetenskap;

    Sammanfattning : In electronic commerce, systems development is based on two fundamental types of models, business models and process models. A business model is concerned with value exchanges among business partners, while a process model focuses on operational and procedural aspects of business communication. LÄS MER

  4. 8. Data Mining Approaches for Outlier Detection Analysis

    Författare :Shahrooz Abghari; Niklas Lavesson; Håkan Grahn; Veselka Boeva; Olga Fink; Blekinge Tekniska Högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; outlier detection; data modelling; machine learning; clustering analysis; data stream mining; Computer Science; Datavetenskap;

    Sammanfattning : Outlier detection is studied and applied in many domains. Outliers arise due to different reasons such as fraudulent activities, structural defects, health problems, and mechanical issues. The detection of outliers is a challenging task that can reveal system faults, fraud, and save people's lives. LÄS MER

  5. 9. Towards an Ontology Design Pattern Quality Model

    Författare :Karl Hammar; Kurt Sandkuhl; Henrik Eriksson; Vladimir Tarasov; Eva Blomqvist; Arianit Kurti; Jönköping University; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Ontology; OWL; Ontology Design Pattern; Semantic Web; Quality Model;

    Sammanfattning : The use of semantic technologies and Semantic Web ontologies in particular have enabled many recent developments in information integration, search engines, and reasoning over formalised knowledge. Ontology Design Patterns have been proposed to be useful in simplifying the development of Semantic Web ontologies by codifying and reusing modelling best practices. LÄS MER

  7. 10. Multithreaded PDE Solvers on Non-Uniform Memory Architectures

    Författare :Markus Nordén; Michael Thuné; Sverker Holmgren; Xing Cai; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; PDE solver; high-performance; NUMA; UMA; OpenMP; MPI; data migration; data replication; thread scheduling; data affinity; Beräkningsvetenskap; Scientific Computing;

    Sammanfattning : A trend in parallel computer architecture is that systems with a large shared memory are becoming more and more popular. A shared memory system can be either a uniform memory architecture (UMA) or a cache coherent non-uniform memory architecture (cc-NUMA). LÄS MER