Essays about: "data mining algorithm"
Showing result 1 - 5 of 104 essays containing the words data mining algorithm.
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1. Optimization of Path and Trajectory for Underground Mining Machines
University essay from Linköpings universitet/Institutionen för systemteknikAbstract : Underground mining machines play a critical role in the mining industry, enablingexcavation of valuable minerals from subterranean deposits. The efficiency of mining op-erations relies heavily on the effectiveness of these machines. READ MORE
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2. 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)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
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3. 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 systemteknikAbstract : 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
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4. Failure Inference in Drilling Bits: : Leveraging YOLO Detection for Dominant Failure Analysis
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : 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
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5. Treatment Adherence in Digital Psychotherapy Using Machine Learning to Predict Patient No-shows
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Background: Untreated patients and discontinuity in treatments are problems that mental health care is facing. Even though people seek care, there is still a pattern of patients who do not attend their scheduled appointments, referred to as No-shows. READ MORE