A brief review of nearest neighbor algorithm for learning and classification
K Taunk, S De, S Verma… - … conference on intelligent …, 2019 - ieeexplore.ieee.org
k-Nearest Neighbor (kNN) algorithm is an effortless but productive machine learning
algorithm. It is effective for classification as well as regression. However, it is more widely …
algorithm. It is effective for classification as well as regression. However, it is more widely …
Machine learning approaches in stock market prediction: A systematic literature review
LN Mintarya, JNM Halim, C Angie, S Achmad… - Procedia Computer …, 2023 - Elsevier
Predicting the stock market has been done for a long time using traditional methods by
analyzing fundamental and technical aspects. With machine learning, stock market …
analyzing fundamental and technical aspects. With machine learning, stock market …
Predicting short-term stock prices using ensemble methods and online data sources
With the ubiquity of the Internet, platforms such as: Google, Wikipedia and the like can
provide insights pertaining to firms' financial performance as well as capture the collective …
provide insights pertaining to firms' financial performance as well as capture the collective …
Forecasting oil, coal, and natural gas prices in the pre-and post-COVID scenarios: contextual evidence from India using time series forecasting tools
Stock market price prediction is considered a critically important issue for designing future
investments and consumption plans. Besides, given the fact that the COVID-19 pandemic …
investments and consumption plans. Besides, given the fact that the COVID-19 pandemic …
Deep learning-based metaheuristic weighted k-nearest neighbor algorithm for the severity classification of breast cancer
Objective The most widespread and intrusive cancer type among women is breast cancer.
Globally, this type of cancer causes more mortality among women, next to lung cancer. This …
Globally, this type of cancer causes more mortality among women, next to lung cancer. This …
An integrated approach of ensemble learning methods for stock index prediction using investor sentiments
It has been evidenced by numerous studies that irrational investor sentiment is one of the
critical factors leading to dramatic volatility in financial market prices. Therefore, how to …
critical factors leading to dramatic volatility in financial market prices. Therefore, how to …
Advanced stock price prediction with xlstm-based models: Improving long-term forecasting
X Fan, C Tao, J Zhao - 2024 11th International Conference on …, 2024 - ieeexplore.ieee.org
Stock price prediction has long been a critical area of research in financial modeling. The
inherent complexity of financial markets, characterized by both short-term fluctuations and …
inherent complexity of financial markets, characterized by both short-term fluctuations and …
[PDF][PDF] A review on analysis of k-nearest neighbor classification machine learning algorithms based on supervised learning
M Suyal, P Goyal - International Journal of Engineering Trends …, 2022 - researchgate.net
Machine learning is a small part of artificial intelligence. Machine learning is one of the most
trending technologies in the world today. Whatever you search on Google, Google takes …
trending technologies in the world today. Whatever you search on Google, Google takes …
Fake news detection using machine learning and deep learning algorithms
Classification of fake news on social media has gained a lot of attention in the last decade
due to the ease of adding fake content through social media sites. In addition, people prefer …
due to the ease of adding fake content through social media sites. In addition, people prefer …
[HTML][HTML] Dynamic portfolio optimization with inverse covariance clustering
Market conditions change continuously. However, in portfolio investment strategies, it is hard
to account for this intrinsic non-stationarity. In this paper, we propose to address this issue by …
to account for this intrinsic non-stationarity. In this paper, we propose to address this issue by …