Sökning: "data mining"

Visar resultat 11 - 15 av 372 avhandlingar innehållade orden data mining.

  1. 11. Mining Software Modeling Practices In Open Source Software Projects

    Författare :Truong Ho-Quang; Göteborgs universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Software Engineering; Software Modeling; UML; FOSS; Empirical Study; Data Mining; Mining Repository; GitHub;

    Sammanfattning : Context: In modern software development, software modeling is considered as an essential part of the software architecture and design activity. The Unified Modeling Language (UML) has become the de facto standard for software modeling in industry. LÄS MER

  3. 12. Data-driven AI Techniques for Fashion and Apparel Retailing

    Författare :Chandadevi Giri; Ulf Johansson; Jenny Balkow; Xianyi Zeng; Sebastien Thomessey; Maria Riveiro; Högskolan i Borås; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Digitalization; artificial intelligence; fashion and apparel industry; churn prediction; sales forecasting; campaign analysis; data driven AI decision-making; 数字化，人工智能，服装产业，客户流失预测，销售预测，竞争分析，数据驱动的人 工智能决策; Digitalisation; intelligence artificielle IA; industrie de la mode et de l habillement; prédiction de désabonnement; prévision des ventes; analyse des promotions; Prise de décision par IA axée sur les données; Digitalisering; Artificiell intelligens; Modeindustrin; Churnprediktion; Försäljningsprognoser; Kampanjanalys; Datadriven AI; Beslutsstöd; Business and IT; Handel och IT; Textil och mode generell ; Textiles and Fashion General ;

    Sammanfattning : Digitalisation allows companies to develop many new ways of interacting with customers and other stakeholders. These digital interactions typically generate data that can be stored and later processed for different objectives. LÄS MER

  4. 13. Mining Speech Sounds : Machine Learning Methods for Automatic Speech Recognition and Analysis

    Författare :Giampiero Salvi; Björn Granström; Torbjørn Svendsen; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; speech; machine learning; data mining; signal processing; Computer science; Datavetenskap;

    Sammanfattning : This thesis collects studies on machine learning methods applied to speech technology and speech research problems. The six research papers included in this thesis are organised in three main areas. The first group of studies were carried out within the European project Synface. LÄS MER

  5. 14. 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. 15. Data Mining Approaches for Outlier Detection Analysis

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

    Sammanfattning : 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. LÄS MER