Sökning: "data mining DM"

Visar resultat 1 - 5 av 33 uppsatser innehållade orden data mining DM.

  1. 1. Data mining in healthcare : A security and privacy perspective

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

    Författare :Sara Vimark; [2023]
    Nyckelord :data mining; healthcare; security; privacy;

    Sammanfattning : Data mining has become an essential tool in various domains, including healthcare, for finding patterns and relationships in large datasets to solve business issues. However, given the sensitivity of healthcare data, safeguarding confidentiality and privacy to protect patient information is highly prioritized. LÄS MER

  3. 2. A Data-Driven Approach for Incident Handling in DevOps

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Författare :Lakshmi Ashritha Annadata; [2023]
    Nyckelord :Incident Handling; DevOps; Machine Learning; Prioritization; Topic Modeling;

    Sammanfattning : Background: Maintaining system reliability and customer satisfaction in a DevOps environment requires effective incident management. In the modern day, due to increasing system complexity, several incidents occur daily. Incident prioritization and resolution are essential to manage these incidents and lessen their impact on business continuity. LÄS MER

  4. 3. Ontology-Based SemanticWeb Mining Challenges : A Literature Review

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

    Författare :Christopher March; [2023]
    Nyckelord :Ontology; Semantic Web mining; OWL; Ontology matching; Ontology-based association rule mining;

    Sammanfattning : The semantic web is an extension of the current web that provides a standardstructure for data representation and reasoning, allowing content to be readable for both humans and machines in a form known as ontological knowledgebases. The goal of the Semantic Web is to be used in large-scale technologies or systems such as search engines, healthcare systems, and social mediaplatforms. LÄS MER

  5. 4. DATA MINING IN PRACTICE : An application of the CRISP-DM framework in healthcare

    Magister-uppsats, Umeå universitet/Institutionen för informatik

    Författare :Emma Lind; Sofi Glas; [2022]
    Nyckelord :Data governance; Data mining methodology; The CRISP-DM Framework; Data mining in healthcare;

    Sammanfattning : With extensive data available in today's organizations, it has become increasingly important to secure valuable insights through data. As a result, the management of data to support decision-making processes is receiving increasing attention in organizations' IT strategies. The healthcare sector is no exception. LÄS MER

  7. 5. Detection of performance anomalies through Process Mining

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

    Författare :Carmine Marra; [2022]
    Nyckelord :Process mining; Conformance Checking; performance anomalies; ERTMS ETCS; Railway system; complex computer systems.;

    Sammanfattning : Anomaly detection in computer systems operating within complex environments,such as cyber-physical systems (CPS), has become increasingly popularduring these last years due to useful insights this process can provide aboutcomputer systems’ health conditions against known reference nominal states.As performance anomalies lead degraded service delivery, and, eventually,system-wide failures, promptly detecting such anomalies may trigger timelyrecovery responses. LÄS MER