A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions
With the increase in the usage of the Internet, a large amount of information is exchanged
between different communicating devices. The data should be communicated securely …
between different communicating devices. The data should be communicated securely …
A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions
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 …
to derive useful predictions. Fundamental knowledge of stock market can be utilised with …
Predicting stock trend using an integrated term frequency–inverse document frequency-based feature weight matrix with neural networks
The financial market consists of various money-making strategies wherein trading through a
stock market is an important example. The complex non-linear behaviors of volatile stock …
stock market is an important example. The complex non-linear behaviors of volatile stock …
Improving the performance of sentiment analysis using enhanced preprocessing technique and Artificial Neural Network
With the presence of a massive amount of digitally recorded data, an automated
computation can be preferable over the manual approach to evaluate sentiments within …
computation can be preferable over the manual approach to evaluate sentiments within …
A novel greedy genetic algorithm-based personalized travel recommendation system
In recent years, there has been a significant increase in the utilization of Tourism
Recommendation Systems (TRS) to enhance tourist satisfaction. However, planning a trip …
Recommendation Systems (TRS) to enhance tourist satisfaction. However, planning a trip …
A review on challenges and future research directions for machine learning-based intrusion detection system
Research in the field of Intrusion Detection is focused on develo** an efficient strategy that
can identify network attacks. One of the important strategies is to supervise the network …
can identify network attacks. One of the important strategies is to supervise the network …
Pearson correlation coefficient-based performance enhancement of vanilla neural network for stock trend prediction
The prediction of a volatile stock market is a challenging task. While various neural networks
are integrated to address stock trend prediction problems, the weight initialization of such …
are integrated to address stock trend prediction problems, the weight initialization of such …
Recommendation systems: An insight into current development and future research challenges
Research on recommendation systems is swiftly producing an abundance of novel methods,
constantly challenging the current state-of-the-art. Inspired by advancements in many …
constantly challenging the current state-of-the-art. Inspired by advancements in many …
[HTML][HTML] A survey on personalized itinerary recommendation: From optimisation to deep learning
The tourism industry is a significant contributor to the global economy, responsible for
generating nearly 10% of the world's GDP and employing around 9% of the global …
generating nearly 10% of the world's GDP and employing around 9% of the global …
Tourist trip design with heterogeneous preferences, transport mode selection and environmental considerations
Tourism is one of the fastest-growing sectors in the world with a shift from mass tourism to
personalized travel. Nevertheless, it generates significant environmental impacts. The …
personalized travel. Nevertheless, it generates significant environmental impacts. The …