Financial time series forecasting is undoubtedly the top choice of computational intelligence
for finance researchers in both academia and the finance industry due to its broad …

Computational intelligence in finance has been a very popular topic for both academia and
financial industry in the last few decades. Numerous studies have been published resulting …

The stock market has been an attractive field for a large number of organizers and investors
to derive useful predictions. Fundamental knowledge of stock market can be utilised with …

Abstract Long Short Term Memory (LSTM) is among the most popular deep learning models
used today. It is also being applied to time series prediction which is a particularly hard …

Computational intelligence techniques for financial trading systems have always been quite
popular. In the last decade, deep learning models start getting more attention, especially …

Deep learning has been widely applied in computer vision, natural language processing,
and audio-visual recognition. The overwhelming success of deep learning as a data …

With recent advances in computing technology, massive amounts of data and information
are being constantly accumulated. Especially in the field of finance, we have great …

Within the area of stock market prediction, forecasting price values or movements is one of
the most challenging issue. Because of this, the use of machine learning techniques in …

In this paper, Big Data and Deep Learning Techniques are integrated to improve the
performance of intrusion detection systems. Three classifiers are used to classify network …

Today, stock market has important function and it can be a place as a measure of economic
position. People can earn a lot of money and return by investing their money in the stock …