-
Chapter and Conference Paper
A High-Frequency Stock Price Prediction Method Based on Mode Decomposition and Deep Learning
The modeling and prediction of stock prices is the core work in securities investment, and it is of enormous significance to reducing decision-making risks and improving investment returns. Existing research m...
-
Chapter and Conference Paper
A Correlational Strategy for the Prediction of High-Dimensional Stock Data by Neural Networks and Technical Indicators
Stock price prediction generates interesting outputs for investors. In recent years, stock technical indicators (STI) have played an important role in stock price prediction. However, the current performance o...
-
Article
Open AccessAn effective detection approach for phishing websites using URL and HTML features
Today's growing phishing websites pose significant threats due to their extremely undetectable risk. They anticipate internet users to mistake them as genuine ones in order to reveal user information and priva...
-
Chapter and Conference Paper
A Hybrid Recommendation Model for Social Network Services Using Twitter Data
With the continuous popularization of social networking sites, e.g., Twitter and Facebook, people’s requirements for the quality of social network services are rising rapidly. Traditional personalized recommen...
-
Chapter and Conference Paper
HSMC: Hybrid Sentiment Method for Correlation to Analyze COVID-19 Tweets
Along with other catastrophes during covid-19, it is required to grasp the public opinions and reaction to detect how COVID-19 is affecting people emotions? This work proposes a Hybrid Sentiment Method for Cor...
-
Chapter and Conference Paper
A Strategy-based Optimization Algorithm to Design Codes for DNA Data Storage System
The exponential increase of big data volumes demands a large capacity and high-density storage. Deoxyribonucleic acid (DNA) has recently emerged as a new research trend for data storage in various studies due ...
