Sökning: "Association Rule Mining"

Visar resultat 1 - 5 av 17 uppsatser innehållade orden Association Rule Mining.

1. 1. Development of a Rule Based Decision Support System for Pilots : Using Network Analysis, Label Propagation and Association Rule Mining

   Master-uppsats, Linköpings universitet/Institutionen för systemteknik

   Författare :Joel Henneberg; [2023]
   Nyckelord :;

   Sammanfattning : Maneuvering a fighter jet is not easy, and new methods for minimizing the risk of pilots experiencing information overload are constantly under development. Saab is currently looking into the possibilities of creating a decision support system (DSS) for pilots in situations where multiple independent system failures occur simultaneously. LÄS MER

3. 2. 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

4. 3. A comparative analysis of database sanitization techniques for privacy-preserving association rule mining

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

   Författare :Charlie Mårtensson; [2023]
   Nyckelord :Association rule hiding; privacy-preserving data mining; evolutionary algorithms; performance evaluation; Associationsregeldöljning; sekretessbevarande datautvinning; evolutionära algoritmer; prestandaevaluering;

   Sammanfattning : Association rule hiding (ARH) is the process of modifying a transaction database to prevent sensitive patterns (association rules) from discovery by data miners. An optimal ARH technique successfully hides all sensitive patterns while leaving all nonsensitive patterns public. LÄS MER

5. 4. Långtidscovid: symptomförlopp och mönster över tid : En explorativ analys av crowdsource-insamlat enkätdata

   Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Martin Amundsson; [2022]
   Nyckelord :Covid-19; post-acute covid; long covid; long-hauler; symptom; clustering; association analysis; sequence analysis; crowdsourcing; långtidscovid; covid-19; symptom; associationsanalys; sekvensanalys; kuster;

   Sammanfattning : Two years after the first recorded outbreak of Covid-19 its long-term effects are still not completely understood. An unknown proportion of all covid patients go on to develop post-acute covid syndrome and suffer long-term symptoms and health effects long after the initial infection subsides. LÄS MER

7. 5. Text Mining Methods for Biomedical Data Analysis

   Magister-uppsats, Linköpings universitet/Statistik och maskininlärning

   Författare :Rakhshanda Jabeen; [2021]
   Nyckelord :;

   Sammanfattning : Biological data topic modeling has become a very prevalent topic among researchers in recent times. However, analysing countless research papers and gathering consensus regarding biomedicine is a near-impossible task for any researcher due to the complexity and quantity of material that is published. LÄS MER