Sökning: "well data"

Visar resultat 1 - 5 av 10004 avhandlingar innehållade orden well data.

1. 1. External Data Incorporation into Data Warehouses

   Författare :Mattias Strand; Benkt Wangler; Mats Danielsson; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; data warehouse; external data; syndicate data; Computer and systems science; Data- och systemvetenskap; Technology;

   Sammanfattning : Most organizations are exposed to increasing competition and must be able to orient themselves in their environment. Therefore, they need comprehensive systems that are able to present a holistic view of the organization and its business. LÄS MER

3. 2. 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

4. 3. Algorithmically Guided Information Visualization : Explorative Approaches for High Dimensional, Mixed and Categorical Data

   Författare :Sara Johansson Fernstad; Mikael Jern; Jimmy Johansson; Jane Shaw; Matthew O. Ward; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Information visualization; data mining; high dimensional data; categorical data; mixed data;

   Sammanfattning : Facilitated by the technological advances of the last decades, increasing amounts of complex data are being collected within fields such as biology, chemistry and social sciences. The major challenge today is not to gather data, but to extract useful information and gain insights from it. LÄS MER

5. 4. Learning from Complex Medical Data Sources

   Författare :Jonathan Rebane; Panagiotis Papapetrou; Isak Samsten; Myra Spiliopoulou; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Machine Learning; Data Science; Healthcare; Complex Data; Explainable AI; Deep Learning; data- och systemvetenskap; Computer and Systems Sciences;

   Sammanfattning : Large, varied, and time-evolving data sources can be observed across many domains and present a unique challenge for classification problems, in which traditional machine learning approaches must be adapted to accommodate for the complex nature of such data. Across most domains, there is also a need for machine learning models that are both well-performing and interpretable, to help provide explanations of a model's decisions that stakeholders can trust and take appropriate actions with. LÄS MER

7. 5. Everyday mining : Exploring sequences in event-based data

   Författare :Katerina Vrotsou; Matthew Cooper; Anders Ynnerman; Kajsa Ellegård; Andrew S. Harvey; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Event-based data; activity diary data; event-sequences; interactive exploration; sequence identification; visual data mining; Computer science; Datavetenskap;

   Sammanfattning : Event-based data are encountered daily in many disciplines and are used for various purposes. They are collections of ordered sequences of events where each event has a start time and a duration. LÄS MER