Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Stock trend prediction using regression analysis–a data mining approach
Financial Stock Market Forecast using Data Mining Techniques
Application of data mining techniques in stock markets: A survey
Kernel principal component analysis and support vector machines for stock price prediction
Restricted Boltzmann machine based stock market trend prediction
Stock price prediction using linear regression based on sentiment analysis
A comprehensive cluster and classification mining procedure for daily stock market return forecasting
A machine learning approach for stock price prediction
A Survey on Stock Market Prediction Techniques
TIME SERIES DATA MINING
using machine learning algorithms to find patterns in stock prices * .
Stock Price Prediction and Trend Prediction Using Neural Networks
Deep Learning Approach for Short-Term Stock Trends Prediction Based on Two-Stream Gated Recurrent Unit Network
Clustering Approach to Stock Market Prediction
News Analytics and Sentiment Analysis to Predict Stock Price Trends
Predicting Stock Market Trends by Recurrent Deep Neural Networks
Mining to Analyze News for Stock Market Prediction
An Effective Clustering Approach to Stock Market Prediction
Stock market prediction model using TPWS and association rules mining
Trend Detection and Pattern Recognition in Financial Time Series
Predicting stock market trends using random forests: A sample of the Zagreb stock exchange
Induction Heating Process Design Using Comsol® Multiphysics Software Version 4.2a
Mining Sequential Patterns : Generalizations and Performance Improvements
An Empirical Examination of Users' Switch from Online Payment to Mobile Payment
Joint Object Segmentation and Depth Upsampling
Strategic Communication with Lying Costs