Prediksi Saham PT. Aneka Tambang Tbk. dengan K-Nearest Neighbors

L Alfat, H Hermawan, A Rustandiputri… - … Journal Scientific and …, 2022 - jurnal.umb.ac.id
Abstract Information technology has spread continuously, that changes data into big data.
That data can be saved, warehoused, and mined to get valuable information or knowledge …

Approaches involving big data analytics (BDA) using machine learning, described

S Tiwari - 2022 IEEE 3rd Global Conference for Advancement …, 2022 - ieeexplore.ieee.org
In computer engineering and several other fields across the globe, big data analytics seems
to be a developing research discipline. These would have made significant progress in …

The prediction of closing prices of company stocks using random forests and artificial neural networks

B Dhyani, A Jain, A Barthwal, M Kumar - AIP Conference Proceedings, 2022 - pubs.aip.org
Tracking accurate movement of stock market is a difficult job for investors in recent times due
to the nonlinear behavior and volatility of the stocks, which gets affected because of different …

Effective feature selection for real-time stock trading in variable time-frames and multi criteria decision theory based Efficient stock portfolio management

AKM Ullah - 2021 - dspace.bracu.ac.bd
The unpredictability and volatility of the stock market render it challenging to make a
substantial pro t using any generalized scheme. Many previous studies tried di erent …

Öznitelik Mühendisliği ile Makine Öğrenmesi Yöntemleri Kullanılarak BIST 100 Endeksi Değişiminin Tahminine Yönelik Bir Yaklaşım

T Kaynar, ÖE Yiğit - Yaşar Üniversitesi E-Dergisi, 2021 - dergipark.org.tr
Finansal piyasaların ana çıktısı bir zaman serisi problemidir ve zaman serileri; doğaları
gereği gürültülü, durağan olmayan ve kaotik bir yapı sergilemektedirler. Bu karmaşık yapı …

A Comparative Work to Highlight the Superiority of Mouth Brooding Fish (MBF) over the Various ML Techniques in Password Security Classification.

Y Shi, Y Wang - … Journal of Advanced Computer Science & …, 2024 - search.ebscohost.com
Within the domain of password security classification, the pursuit of practical and
dependable methodologies has prompted the examination of both biological and …

Box Office Forecast Model Based on Random Forest and BP Neural Network

Q Cai, W Tan - Proceedings of the 5th International Conference on Big …, 2022 - dl.acm.org
With the development of the film industry, there is an emerging need to successfully predict
the box office revenue of a movie before its release. Based on the Chinese film market, this …

Feature-Ranked Attention-Driven LSTM: A Novel Hybrid Model for Short-Term Stock Price Predictions

Y Chen, F Wu, G Li, C Zhan - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Accurate financial market price forecasting helps investors make financial decisions and
governments formulate macro-financial policies. To accurately predict the price trend of …

Combining machine learning and effective feature selection for real-time stock trading in variable time-frames

AKMA Ullah, F Imtiaz, MUM Ihsan… - International …, 2023 - inderscienceonline.com
The unpredictability and volatility of the stock market render it challenging to make a
substantial profit using any generalised scheme. Many previous studies tried different …

[PDF][PDF] Inspecting the influence of macroeconomic factors on stock returns: The case of Serbia

M Đaković, M Pjanić, M Inđić - Ekonomika preduzeća, 2023 - ses.org.rs
In many developed economies, a stable financial market is the basis for the growth and
development of a country's well-being. The movement of stock prices is, in many ways, a …