Sökning: "K-means"

Visar resultat 21 - 25 av 277 uppsatser innehållade ordet K-means.

  1. 21. Exploratory Data Analysis of Live 5G Radio Access Network Configuration Data Using Interpretable Machine Learning

    Master-uppsats, Linköpings universitet/Databas och informationsteknik

    Författare :Fredrik Olsson; Erik Sköld; [2023]
    Nyckelord :;

    Sammanfattning : In the increasingly connected world of today, people are more reliant on online services than ever before. To enhance network performance, efforts needs to be made to better understand the telecommunication system. LÄS MER

  3. 22. A General Purpose Near Data Processing Architecture Optimized for Data-intensive Applications

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Xingda Li; Haidi Hu; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : In recent years, as Internet of Things (IoT) and machine learning technologies have advanced, there has been increasing interest in the study of energy-efficient and flexible architectures for embedded systems. To bridge the performance gap between microprocessors and memory systems, Near-Data Processing (NDP) was introduced. LÄS MER

  4. 23. Automating Root Cause Analysis of Anomalies in Ericsson Wallet Platform using Machine Learning

    Master-uppsats, Blekinge Tekniska Högskola

    Författare :Simron Padhi; Devi Priya Battina; [2023]
    Nyckelord :Anomaly detection; Isolation forest algorithm; K-means algorithm; Local Outlier Factor algorithm; One class Support Vector Machine;

    Sammanfattning : Background: In this era of mobile wallet platforms, to ensure key requirements like high availability and performance, the company must have mechanisms in place to detect anomalies at any given point in time. Ericsson Wallet Platform(EWP), a mobile wallet platform, is facing the problem of manually analyzing all the logs and reports and taking comprehensive action decisions accordingly. LÄS MER

  5. 24. The Myth of Incentive-Based Sales Strategies: an Empirical Analysis Contradicting Prevailing Theories using Data Mining and Hypothesis Testing Techniques

    Master-uppsats, Högskolan Dalarna/Institutionen för information och teknik

    Författare :Yidan (Nickia) Liang; [2023]
    Nyckelord :Reward Program; Reward Evaluation; Data Mining; RFM; Customer Segmentation; Clustering; K-Means; Hypothesis Testing; One-Sided T-Test; Marketing Effectiveness; Incentive-Based Sales Strategy; Sales Promotion;

    Sammanfattning : In recent decades, the use of incentive-based reward programs to foster customer loyalty and promote sales has become prevalent in various industries. While these strategies are widely accepted and implemented, there is a significant gap in empirical studies to ascertain their real-world effectiveness. LÄS MER

  7. 25. Heuristic Clustering Methods for Solving Vehicle Routing Problems

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Georgios Nordqvist; Erik Forsberg; [2023]
    Nyckelord :optimization; vehicle routing problem; sweep clustering; k-means clustering; hierarchical clustering;

    Sammanfattning : Vehicle Routing Problems are optimization problems centered around determining optimal travel routes for a fleet of vehicles to visit a set of nodes. Optimality is evaluated with regard to some desired quality of the solution, such as time-minimizing or cost-minimizing. LÄS MER