Essays about: "problem in data mining"

Showing result 1 - 5 of 116 essays containing the words problem in data mining.

  1. 1. Mining infrequent group of motifs from multidimensional time series: A case study at Alfa Laval AB

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Fabeena Thoufeeq; Reeba Susan Ashok; [2024]
    Keywords : ;

    Abstract : In collaboration with an industrial partner, Alfa Laval AB, this thesis discusses a novel approach for identifying operational modes, specifically a cleaning mode, in separator machines without the benefit of labelled data and with very limited operating knowledge. Understanding the operational modes is crucial for comprehending the machine’s behaviour and ensuring its optimal performance. READ MORE

  2. 2. Utilizing Transformers with Domain-Specific Pretraining and Active Learning to Enable Mining of Product Labels

    University essay from Uppsala universitet/Avdelningen för beräkningsvetenskap

    Author : Erik Norén; [2023]
    Keywords : Machine Learning; Natural Language Processing; NLP; BERT; Active Learning; AL; Pharmacovigilance; UMC; Uppsala Monitoring Centre; Structured Product Label; SPL; Transformers; Domain-Specific Pretraining; NER; Named Entity Recognition; Adverse Drug Reaction; ADR;

    Abstract : Structured Product Labels (SPLs), the package inserts that accompany drugs governed by the Food and Drugs Administration (FDA), hold information about Adverse Drug Reactions (ADRs) that exists associated with drugs post-market. This information is valuable for actors working in the field of pharmacovigilance aiming to improve the safety of drugs. READ MORE

  3. 3. Performance comparison of data mining algorithms for imbalanced and high-dimensional data

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

    Author : Daniel Rubio Adeva; [2023]
    Keywords : Data science; neural network; random forest; support vector machine; imbalanced data; average precision; ROC; Datavetenskap; neuralt nätverk; slumpmässig skog; stödvektormaskin; obalanserad data; medelprecision; ROC;

    Abstract : Artificial intelligence techniques, such as artificial neural networks, random forests, or support vector machines, have been used to address a variety of problems in numerous industries. However, in many cases, models have to deal with issues such as imbalanced data or high multi-dimensionality. READ MORE

  4. 4. Decoding communication of non-human species - Unsupervised machine learning to infer syntactical and temporal patterns in fruit-bats vocalizations.

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Luigi Assom; [2023]
    Keywords : animal decision making; unsupervised machine learning; UMAP; autoencoders; classifiers; bioacoustics; combinatory syntax; animal communication;

    Abstract : Decoding non-human species communication offers a unique chance to explore alternative intelligence forms using machine learning. This master thesis focuses on discreteness and grammar, two of five linguistic areas machine learning can support, and tackles inferring syntax and temporal structures from bioacoustics data annotated with animal behavior. READ MORE

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

    University essay from Linköpings universitet/Institutionen för systemteknik

    Author : Joel Henneberg; [2023]
    Keywords : ;

    Abstract : 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. READ MORE