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Showing result 1 - 5 of 28 essays matching the above criteria.

  1. 1. Unauthorised Session Detection with RNN-LSTM Models and Topological Data Analysis

    University essay from KTH/Matematik (Avd.)

    Author : Nazar Maksymchuk Netterström; [2023]
    Keywords : Recurrent Neural Network; Long-Short-Term-Memory; Topological Data Analysis; Session based data; Anomaly detection; Time-series analysis; Imbalanced data; Master thesis; Neurala nätverk; Topologisk data analys; Detektion av avvikelse; Sessionsbaserad data; Tidserieanalys; Inbalancerad data; Masteruppsats;

    Abstract : This thesis explores the possibility of using session-based customers data from Svenska Handelsbanken AB to detect fraudulent sessions. Tools within Topological Data Analysis are employed to analyse customers behavior and examine topological properties such as homology and stable rank at the individual level. READ MORE

  2. 2. A tailored web-based system for managing and attracting customers

    University essay from

    Author : Carl Anton Gustavsson; Elis Indebetou; Filip Von Knorring; Erik Larsson; Nils Persson; Ramez Shakarna; [2023]
    Keywords : CRM;

    Abstract : Denna rapport redogör utvecklingen av ett kundhanteringssystem (CRM) och en webbsida för Minafribrev, ett finansbolag, i syfte att förbättra kundinteraktioner och relationshantering. Målet var att utveckla ett system som kunde användas för att effektivt hantera kundaktiviteter och att lagra relevant data som kontaktinformation, information om möten, och att hantera kundrelaterade uppgifter. READ MORE

  3. 3. Co creation strategy: application to the customer relation in a packaging company and real estate agency. : A qualitative study, with the perspective of business to business and business to customer

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Samia Dahir Idriss; [2023]
    Keywords : customer relationship management; co creation strategy; customer engagement; Value creation; Co creation; Co-production.; kundrelationshantering; samskapande strategi; kundengagemang; värdeskapande; samskapande; samproduktion.;

    Abstract : This master thesis investigated whether co creation strategy can be effective in a business to business and business to customer and can enhance customer relations challenges. This is to be able to help NykopingHem and EQpack enhance their current customer relations challenges. READ MORE

  4. 4. Delivering the undefined: The value potential of digital twins : A qualitative study on digital twins in the Swedish AEC/FM industry

    University essay from KTH/Ledning och organisering i byggande och förvaltning

    Author : Marcus Lövgren Moazzami; Marina Brandt; [2023]
    Keywords : Digital twin; Value Co-creation; Service Dominant logic; BIM; Digital platform; Digitalisation; Digital tvilling; samskapande av värde; Service Dominant logic; BIM; Digital plattform; Digitalisering;

    Abstract : The megatrend of digitalisation is transforming society, individuals, companies, and industries through the widespread adoption of new digital technologies. Among the emerging technologies, digital twin technology is regarded as a key enabler of digital transformation in the Architecture, Engineering, Construction, and Facility Management (AEC/FM) industry, where the transition from BIM to digital twins is primarily driven by the emergence of big data. READ MORE

  5. 5. Shoppin’ in the Rain : An Evaluation of the Usefulness of Weather-Based Features for an ML Ranking Model in the Setting of Children’s Clothing Online Retailing

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Isac Lorentz; [2023]
    Keywords : Statistical analysis; regression analysis; recommender systems; ensemble learning; electronic commerce; LightGBM; learning to rank; feature selection; weather-based features; fashion; Statistisk analys; regressionsanalys; rekommendationssystem; ensemble-inlärning; näthandel; LightGBM; learning to rank; variabelselektion; väderbaserade variabler; mode;

    Abstract : Online shopping offers numerous benefits, but large product catalogs make it difficult for shoppers to understand the existence and characteristics of every item for sale. To simplify the decision-making process, online retailers use ranking models to recommend products relevant to each individual user. READ MORE