Sökning: "Data Model"

Visar resultat 1 - 5 av 7788 avhandlingar innehållade orden Data Model.

  1. 1. Design of Business Process Model Repositories : Requirements, Semantic Annotation Model and Relationship Meta-model

    Författare :Mturi Elias; Ilia Bider; Paul Johannesson; Marlon Dumas; Stockholms universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; business process; business process model; business process repository; semantic annotation; Computer and Systems Sciences; data- och systemvetenskap;

    Sammanfattning : Business process management is fast becoming one of the most important approaches for designing contemporary organizations and information systems. A critical component of business process management is business process modelling. LÄS MER

  2. 2. Prototyping with Data : Opportunistic Development of Data-Driven Interactive Applications

    Författare :Filip Kis; Cristian Bogdan; Olle Bälter; Fabio Paternó; KTH; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; prototyping; model-based UI development; web engineering; interaction design; Människa-datorinteraktion; Human-computer Interaction;

    Sammanfattning : There is a growing amount of digital information available from Open-Data initiatives, Internet-of-Things technologies, and web APIs in general. At the same time, an increasing amount of technology in our lives is creating a desire to take advantage of the generated data for personal or professional interests. LÄS MER

  3. 3. A data-driven decision support system for coherency of experts’ judgment in complex classification problems : The case of food security as a UN sustainable development goal

    Författare :Rueben Laryea; Kenneth Carling; Lena Nerhagen; Högskolan Dalarna; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Coherence; Efficiency; Decision Support System; Multi-Criteria; Risk; Classification Model; Decision Makers; Judgment; Alternatives; Prediction; Data; Integrate; Imprecision; Food Security; UTADIS; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys; Mikrodataanalys; Microdata Analysis;

    Sammanfattning : Everyday humans need to make individual or collective decisions. Often the decisions aim at achieving multiple goals (thus involving multiple criteria) and rely on the decision maker(s)’ intuition, internal data, as well as external sources of data. LÄS MER

  4. 4. Towards Privacy Preserving Micro-data Analysis : A machine learning based perspective under prevailing privacy regulations

    Författare :Navoda Senavirathne; Vicenç Torra; Maria Riveiro; Sonja Buchegger; Högskolan i Skövde; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Data anonymization; data privacy; privacy-preserving machine learning; privacy preserving data publishing; personal data protection; Skövde Artificial Intelligence Lab SAIL ; Skövde Artificial Intelligence Lab SAIL ;

    Sammanfattning : Machine learning (ML) has been employed in a wide variety of domains where micro-data (i.e., personal data) are used in the training process. LÄS MER

  5. 5. Model-Driven Process Design : Aligning Value Networks, Enterprise Goals, Services and IT Systems

    Författare :Erik Perjons; Paul Johannesson; Anders G. Nilsson; Stockholms universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; business process design; e-process design; model-driven methods; enterprise modelling; business modelling; enterprise goals; services; value networks; business-IT alignment; design science; Computer and systems science; Data- och systemvetenskap; Computer and Systems Sciences; data- och systemvetenskap;

    Sammanfattning : The purpose of business-IT alignment is to optimise the relation between business and IT in order to maximise the business value of IT. Successful business-IT alignment can be enabled by business processes and e-processes functioning as adaptive mediators between business and IT systems. LÄS MER