Search for dissertations about: "thesis on data mining"

Showing result 11 - 15 of 334 swedish dissertations containing the words thesis on data mining.

  2. 11. Data Mining Approaches for Outlier Detection Analysis

    Author : Shahrooz Abghari; Niklas Lavesson; Håkan Grahn; Veselka Boeva; Olga Fink; Blekinge Tekniska Högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; outlier detection; data modelling; machine learning; clustering analysis; data stream mining; Computer Science; Datavetenskap;

    Abstract : Outlier detection is studied and applied in many domains. Outliers arise due to different reasons such as fraudulent activities, structural defects, health problems, and mechanical issues. The detection of outliers is a challenging task that can reveal system faults, fraud, and save people's lives. READ MORE

  4. 12. Empowering Empirical Research in Software Design: Construction and Studies on a Large-Scale Corpus of UML Models

    Author : Truong Ho-Quang; Göteborgs universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Software Modeling; Software Design; Empirical Research; UML; Modeling Practices; Impacts of Modeling; Open Source System; Mining Software Repository; Data Mining; Data Curation; GitHub;

    Abstract : Context: In modern software development, software modeling is considered to be an essential part of the software architecture and design activities. The Unified Modeling Language (UML) has become the de facto standard for software modeling in industry. READ MORE

  5. 13. Finding, extracting and exploiting structure in text and hypertext

    Author : Ola Ågren; Jürgen Börstler; Frank Drewes; Maarten de Rijke; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Automatic propagation; CHiC; Data mining; Discrete data; Extraction; Hierarchies; ProT; Rank distribution; S²ProT; Spatial linking; Web mining; Web searching; Computer science; Datalogi; business data processing; administrativ databehandling;

    Abstract : Data mining is a fast-developing field of study, using computations to either predict or describe large amounts of data. The increase in data produced each year goes hand in hand with this, requiring algorithms that are more and more efficient in order to find interesting information within a given time. READ MORE

  6. 14. Big Data Analytics for Fault Detection and its Application in Maintenance

    Author : Liangwei Zhang; Ramin Karim; Janet Lin; Benoît Iung; Luleå tekniska universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Big Data analytics; eMaintenance; fault detection; high-dimensional data; stream data mining; nonlinear data; Drift och underhållsteknik; Operation and Maintenance;

    Abstract : 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. READ MORE

  7. 15. Energy Efficiency in Machine Learning : Approaches to Sustainable Data Stream Mining

    Author : Eva García Martín; Håkan Grahn; Veselka Boeva; Emiliano Casalicchio; Jesse Read; Blekinge Tekniska Högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; machine learning; energy efficiency; data stream mining; green machine learning; edge computing; Computer Science; Datavetenskap;

    Abstract : Energy efficiency in machine learning explores how to build machine learning algorithms and models with low computational and power requirements. Although energy consumption is starting to gain interest in the field of machine learning, still the majority of solutions focus on obtaining the highest predictive accuracy, without a clear focus on sustainability. READ MORE