Essays about: "classification algorithms in data mining"

Showing result 1 - 5 of 35 essays containing the words classification algorithms in data mining.

  1. 1. Data Classification System Based on Combination Optimized Decision Tree : A Study on Missing Data Handling, Rough Set Reduction, and FAVC Set Integration

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

    Author : Xuechun Lu; [2023]
    Keywords : Missing data handling; Rough set reduction; FAVC Set; ID3; Saknade datahantering; Rough set reducering; FAVC Set; ID3;

    Abstract : Data classification is a novel data analysis technique that involves extracting valuable information with potential utility from databases. It has found extensive applications in various domains, including finance, insurance, government, education, transportation, and defense. READ MORE

  3. 2. 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

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

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

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

    Abstract : 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. READ MORE

  5. 4. Explanation Methods for a Medical Image Classifier by Analysis of its Uncertainty

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

    Author : Sanskar Gupta; [2022]
    Keywords : Uncertainty; Confidences; Calibration; Clustering; Multiclass classification;

    Abstract : Over the last decade, neural networks have reached almost every field of science and technology. They have become a crucial part of various real-world applications, such as medical imaging. READ MORE

  6. 5. Classification of Financial Transactions using Lightweight Memory Networks

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

    Author : Zhexin Cui; [2022]
    Keywords : Fraud Detection; Memory Network; Light-weight Model; Cryptocurrencies; Upptäckt av bedrägerier; minnesnätverk; lättviktsmodell; kryptovalutor;

    Abstract : Various forms of fraud have substantially impacted our lives and caused considerable losses to some people. To reduce these losses, many researchers have devoted themselves to the study of fraud detection. READ MORE