Essays about: "data mining task"

Showing result 1 - 5 of 53 essays containing the words data mining task.

  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

  3. 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

  4. 3. Exploration of using Twitter data to predict Swedish political opinion polls with neural networks

    University essay from Lunds universitet/Matematisk statistik

    Author : Alexander Gren; Klara Lundgren; [2023]
    Keywords : Mathematics and Statistics;

    Abstract : This thesis aims to explore the possibility of using deep learning techniques to mine opinions on Twitter, with the objective to predict the political opinion distribution in Sweden. Different methods of gathering and annotating training data are evaluated to achieve accurate and reliable predictions. READ MORE

  5. 4. Failure Inference in Drilling Bits: : Leveraging YOLO Detection for Dominant Failure Analysis

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Gnana Spandana Akumalla; [2023]
    Keywords : Computer vision; Image processing; Drill bit failure detection; CNN; YOLOv5; FNN; YOLOv8; Dataset; StyleGAN-ADA; Ethics; Sustainability; Artificial Intellegence; Tricone drill bit; Object detection.;

    Abstract : Detecting failures in tricone drill bits is crucial in the mining industry due to their potential consequences, including operational losses, safety hazards, and delays in drilling operations. Timely identification of failures allows for proactive maintenance and necessary measures to ensure smooth drilling processes and minimize associated risks. READ MORE

  6. 5. A comparative analysis of database sanitization techniques for privacy-preserving association rule mining

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

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

    Abstract : 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. READ MORE