A feature weighted support vector machine and K-nearest neighbor algorithm for stock market indices prediction

By Yingjun Chen, Yongtao Hao. Expert systems with applications, 2017

334 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research, Signal Processing

View Paper: https://www.semanticscholar.org/paper/fb0d4d6b591c9a6b9090f875bc55178f47fd70da

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Amir Mosavi

In Management Science and Operations Research

1. Pooyan Nayyeri
2. Hamed Jabani
3. Amir Mosavi
4. Mojtaba Nabipour

In Signal Processing

1. Amir Mosavi

Citations in the corpus

• Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis (2020, background): “Details about the way of calculating indicators are presented here [26]–[28]: The average of values in a particular range computes SMA indicator, and this helps investors to decide if a price will go further in the same trend.”