Sökning: "data driven"

Visar resultat 1 - 5 av 1339 avhandlingar innehållade orden data driven.

  1. 1. Data-driven Innovation : An exploration of outcomes and processes within federated networks

    Författare :Aya Rizk; Anna Ståhlbröst; Ahmed Elragal; Birgitta Bergvall-Kåreborn; Oliver Müller; Luleå tekniska universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Data-driven innovation; analytics; innovation process; federated networks; data science; taxonomy; Information systems; Informationssystem;

    Sammanfattning : The emergence and pervasiveness of digital technologies are changing many aspects of our lives, including what and how we innovate. Industries and societies are competing to embrace this wave of digitalization by developing the right infrastructures and ecosystems for innovation. LÄS MER

  3. 2. Data Stream Mining and Analysis : Clustering Evolving Data

    Författare :Christian Nordahl; Håkan Grahn; Veselka Boeva; Marie Netz; Plamen Angelov; Blekinge Tekniska Högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Data Stream Mining; Clustering; Data Streams; Data Mining; Computer Science; Datavetenskap;

    Sammanfattning : Streaming data is becoming more prevalent in our society every day. With the increasing use of technologies such as the Internet of Things (IoT) and 5G networks, the number of possible data sources steadily increases. Therefore, there is a need to develop algorithms that can handle the massive amount of data we now generate. LÄS MER

  4. 3. Kretslopp av data : Miljö, befolkning, förvaltning och den tidiga digitaliseringens kulturtekniker

    Författare :Johan Fredrikzon; Staffan Bergwik; Thomas Götselius; Anders Ekström; Stockholms universitet; []
    Nyckelord :HUMANIORA; HUMANITIES; archive; digital; data; cartography; census; cultural technique; cybernetics; delete; ecology; environment; erase; infrastructure; linking; magnetic; modelling; monitoring; office; paper; recycling; reuse; surveillance; system; tape; UNEP; waste; arkiv; databas; datahantering; datalag; datasäkerhet; Earthwatch; ekologi; Forrester; Foucault; integritet; kontor; länkning; materialitet; modellering; Odum; ordbehandling; radera; SCB; skräp; statskontoret; tidsgeografi; återanvändning; övervakning; History of Ideas; idéhistoria;

    Sammanfattning : This dissertation explores the early digitalization in Sweden. As host to the first summit on the environment in Stockholm 1972 (UNCHE), as leading procurer of computer equipment as well as initiator to the world's first national Data Act of 1973, Sweden pioneered domains that have since emerged as critical to our age: environmental challenges and digital technology. LÄS MER

  5. 4. A toolbox for idea generation and evaluation : Machine learning, data-driven, and contest-driven approaches to support idea generation

    Författare :Workneh Yilma Ayele; Gustaf Juell-Skielse; Paul Johannesson; Ahmed Elragal; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Idea generation; idea mining; data-driven idea generation; data-driven idea evaluation; toolbox for idea generation; toolbox for idea evaluation; contest-driven idea generation; machine learning for idea generation; text mining for idea generation; analytics for idea generation; human-centred AI for creativity; data- och systemvetenskap; Computer and Systems Sciences;

    Sammanfattning : Ideas are sources of creativity and innovation, and there is an increasing demand for innovation. For example, the start-up ecosystem has grown in both number and global spread. As a result, established companies need to monitor more start-ups than before and therefore need to find new ways to identify, screen, and collaborate with start-ups. LÄS MER

  7. 5. Data Driven Visual Recognition

    Författare :Omid Aghazadeh; Stefan Carlsson; Jiri Matas; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Visual Recognition; Data Driven; Supervised Learning; Mixture Models; Non-Parametric Models; Category Recognition; Novelty Detection;

    Sammanfattning : This thesis is mostly about supervised visual recognition problems. Based on a general definition of categories, the contents are divided into two parts: one which models categories and one which is not category based. We are interested in data driven solutions for both kinds of problems. LÄS MER