Sökning: "Irregular Time Series"

Visar resultat 1 - 5 av 11 uppsatser innehållade orden Irregular Time Series.

  1. 1. Applying unprocessed companydata to time series forecasting : An investigative pilot study

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :August Rockström; Emelie Sevborn; [2023]
    Nyckelord :Demand Forecasting; Irregular Time Series; Sales Prediction; Dataset Evaluation; Data Preprocessing;

    Sammanfattning : Demand forecasting for sales is a widely researched topic that is essential for a business to prepare for market changes and increase profits. Existing research primarily focus on data that is more suitable for machine learning applications compared to the data accessible to companies lacking prior machine learning experience. LÄS MER

  3. 2. After-Market Spare Parts Forecasting at Sandvik Stationary Crushing & Screening

    Master-uppsats, Lunds universitet/Produktionsekonomi

    Författare :Artur Jusopov; Arian Marofkhani; [2022]
    Nyckelord :Forecasting; Intermittent Demand; Spare Parts; After-Market; Crostons; Exponential Smoothing; Hierarchical Forecasting; Technology and Engineering;

    Sammanfattning : Title: After-Market Spare Parts Forecasting at Sandvik Stationary Crushing & Screening. Authors: Arian Marofkhani and Artur Jusopov Supervisors: Professor Gudrun Kiesmüller, Lund University, Faculty of Engineering, Division of Production Management. Macarena Ribalta, Planning & Logistics Manager, Sandvik Stationary Crushing & Screening. LÄS MER

  4. 3. Seasonal Adjustment of Weekly Trade Data

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Hannes Jägerstedt; [2021]
    Nyckelord :Seasonal adjustment; Weekly observations; Splines; Kalman Filter; International Trade;

    Sammanfattning : The main objective of this paper is to equip the trade policy analyst with an appropriate method of seasonally adjusting trade data with weekly observations. To that end, a structural time series model containing a trend, seasonal and irregular component is specified. The seasonal component is represented by a time-varying periodic spline. LÄS MER

  5. 4. Att vara ute : En explorativ studie av HBTQ+nattlivets roller och förutsättningar i 2010-talets Stockholm

    Master-uppsats, KTH/Urbana och regionala studier

    Författare :Kajsa Jonsson; Hajna Finta; [2021]
    Nyckelord :Nattliv; nattklubb; queer; HBTQ ; HBTQ nattliv; trygghet; trygga rum; kulturell hållbarhet; social hållbarhet; nattekonomi; Stockholm;

    Sammanfattning : Under 2010-talet har det rapporterats om en ökning och förändring i Stockholms nattliv, samtidigt som lokaltidningar skrivit om enskilda nedstängningar av HBTQ+klubbar. Vi ser därmed ett behov av att samla kunskap och skildra erfarenheter som är situerade i Stockholms HBTQ+nattliv, då vi anar att olika delar av nattlivet existerar på olika villkor och har olika förutsättningar för att etableras och fortleva. LÄS MER

  7. 5. Real-time forecasting of dietary habits and user health using Federated Learning with privacy guarantees

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Sonia-Florina Horchidan; [2020]
    Nyckelord :Federated Learning; Time Series Forecasting; Clustering; Pattern Matching; Real-time Data Processing; Differential Privacy; Data Privacy.; Federerade Lärande; Tidsseriesprognos; Klustergruppering; Mönstermatchning; Realtidshantering av data; Differentialintegritet; Dataintegritet;

    Sammanfattning : Modern health self-monitoring devices and applications, such as Fitbit and MyFitnessPal, empower users to take concrete actions and set fitness and lifestyle goals based on their recorded trends and statistics. Predicting such trends is beneficial in the road of achieving long-time targets, as the individuals can adjust their diets and habits at any point to guarantee success. LÄS MER