Essays about: "data mining classification"
Showing result 1 - 5 of 93 essays containing the words data mining classification.
-
1. Exploration of using Twitter data to predict Swedish political opinion polls with neural networks
University essay from Lunds universitet/Matematisk statistikAbstract : 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
-
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
-
3. Recommendation of Text Properties for Short Texts with the Use of Machine Learning : A Comparative Study of State-of-the-Art Techniques Including BERT and GPT-2
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Text mining has gained considerable attention due to the extensive usage ofelectronic documents. The significant increase in electronic document usagehas created a necessity to process and analyze them effectively. READ MORE
-
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 systemvetenskapAbstract : 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. 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