Sökning: "big data"
Visar resultat 1 - 5 av 194 avhandlingar innehållade orden big data.
- Detta är en avhandling från ; Chalmers tekniska högskola; Gothenburg
Sammanfattning : In an age where data is becoming increasingly more valuable as itallows for data analysis and machine learning, big data has become ahot topic. With big data processing, analyses can be carried out onhuge amounts of user data. LÄS MER
2. Data-Centric Network of Things A Method for Exploiting the Massive Amount of Heterogeneous Data of Internet of Things in Support of ServicesDetta är en avhandling från Stockholm : Department of Computer and Systems Sciences, Stockholm University
Sammanfattning : Internet of things (IoT) generates massive amount of heterogeneous data, which should be efficiently utilized to support services in different domains. Specifically, data need to be supplied to services by understanding the needs of services and by understanding the environment changes, so that necessary data can be provided efficiently but without overfeeding. LÄS MER
- Detta är en avhandling från Luleå : Luleå University of Technology
Sammanfattning : Big Data analytics has attracted intense interest recently for its attempt to extract information, knowledge and wisdom from Big Data. In industry, with the development of sensor technology and Information & Communication Technologies (ICT), reams of high-dimensional, streaming, and nonlinear data are being collected and curated to support decision-making. LÄS MER
- Detta är en avhandling från Stockholm : KTH Royal Institute of Technology
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
- Detta är en avhandling från Gävle : Gävle University Press
Sammanfattning : Geographic information science and systems face challenges related to understanding the instinctive heterogeneity of geographic space, since conventional geospatial analysis is mainly founded on Euclidean geometry and Gaussian statistics. This thesis adopts a new paradigm, based on fractal geometry and Paretian statistics for geospatial analysis. LÄS MER