Sökning: "Decision Support systems"

Visar resultat 1 - 5 av 316 uppsatser innehållade orden Decision Support systems.

  1. 1. Election Forecasting in a Multiparty System

    Kandidat-uppsats, Göteborgs universitet/Institutionen för nationalekonomi med statistik

    Författare :Stefan Lindborg; [2019-01-31]
    Nyckelord :Election forecasting; Polling; Multiparty systems; Dynamic Linear Models; DLM; Kalman filtering; Swedish elections;

    Sammanfattning : This bachelor thesis in statistics covers the subject of election forecasting in a multipartysystem, using polling data, that is data collected to measure party support, and dynamiclinear models (DLMs) with Kalman filtering. In terms of decision-making the outcomeof an election can be thought of as an uncertainty. LÄS MER

  2. 2. Styrningens roll vid en strategiförändring : - från eftermarknad till att inkludera serieproduktion

    Magister-uppsats, Linnéuniversitetet/Institutionen för ekonomistyrning och logistik (ELO); Linnéuniversitetet/Institutionen för ekonomistyrning och logistik (ELO)

    Författare :Erika Fristedt; Malin Gustavsson; [2019]
    Nyckelord :change; strategy; management control; control system; strategy change; contingency theory; strategic changes; strategy change; automotive industry; aftermarket; spare-parts; serial production; new car manufacturing; förändring; strategi; styrning; styrsystem; strategiförändring; kontrollsystem; contingency teori; strategiska förändringar; strategibyte; bilindustri; eftermarknad; serieproduktion;

    Sammanfattning : Abstrakt Bakgrund: Bilindustrin står i dagsläget mitt i en omstrukturering av marknaden, där ansvar för produktion av detaljer förflyttas från biltillverkarna till underleverantörerna. Med denna omstrukturering följer högre krav på kvalitetsnivå och kostnadspress som underleverantörerna måste förhålla sig till. LÄS MER

  3. 3. Unsupervised machine learning to detect patient subgroups in electronic health records

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Elin Lütz; [2019]
    Nyckelord :Machine learning; unsupervised learning; clustering; EHR; electronic health records; ICD; diagnosis codes.; Maskininlärning; oövervakat lärande; klustring; EHR; digitala patientjournaler; ICD; diagnoskoder;

    Sammanfattning : The use of Electronic Health Records (EHR) for reporting patient data has been widely adopted by healthcare providers. This data can encompass many forms of medical information such as disease symptoms, results from laboratory tests, ICD-10 classes and other information from patients. LÄS MER

  4. 4. A method to evaluate database management systems for Big Data : focus on spatial data

    Master-uppsats, Luleå tekniska universitet/Datavetenskap

    Författare :Saleh Kanani; [2019]
    Nyckelord :Big Data; spatial database; DBMS; GIS; selection method;

    Sammanfattning : Big data of type spatial is growing exponentially with the highest rate due to extensive growth in usage of sensors, IoT and mobile devices’ spatial data generation, therefore maintaining, processing and using such data efficiently, effectively with high performance has become one of the top priorities for Database management system providers, hence spatial database features and datatypes have become serious criteria in evaluating database management systems that are supposed to work as the back-end for spatial applications and services. With exponential growth of data and introducing of new types of data, “Big Data” has become strongly focused area that has gained the attention of different sectors e. LÄS MER

  5. 5. Cloudbaserte systemer – deskriptiv beslutningsmodell : Fra litteraturens, kundens og leverandørens perspektiv

    Uppsats för yrkesexamina på avancerad nivå, Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Författare :Alette Jerring van Kervel Barth; [2019]
    Nyckelord :Decision model; Cloud Computing; CRM; TOE-framework; Beslutningsmodell; Cloud Computing; CRM; TOE-rammeverket;

    Sammanfattning : Technology that is widely discussed in the business community today is cloud computing and cloud-based systems, as a cloud-based CRM-system. Considering that large companies, such as Google, Netflix and Microsoft, use this type of technology, it is important to ask whether such systems add something to the business or whether it is just an IT trend. LÄS MER