An academic review: applications of data mining techniques in finance industry

S Jadhav, H He, KW Jenkins - 2017 - dspace.lib.cranfield.ac.uk
With the development of Internet techniques, data volumes are doubling every two years,
faster than predicted by Moore's Law. Big Data Analytics becomes particularly important for …

[PDF][PDF] A deep learning approach for optimization of systematic signal detection in financial trading systems with big data

S Karaoglu, U Arpaci, S Ayvaz - International Journal of …, 2017 - researchgate.net
Expert systems for trading signal detection have received considerable attention in recent
years. In financial trading systems, investors' main concern is determining the best time to …

Data mining in computational finance

S Jadhav - 2017 - dspace.lib.cranfield.ac.uk
Computational finance is a relatively new discipline whose birth can be traced back to early
1950s. Its major objective is to develop and study practical models focusing on techniques …

A Comparative Study of Time Series Prediction Based on Neural Network and the Ornstein-Uhlenbeck Process with Jumps

Y Bai, Y Tu, H Li - 2017 2nd International Conference on …, 2017 - atlantis-press.com
The research of stock price prediction is very important. Traditionally, the stock price is
usually processed as a time series. However, the modelling of such time series is extremely …

[PDF][PDF] International Journal of Intelligent Systems and Applications in Engineering

S Karaoglu, U Arpaci, S Ayvaz - 2017 - academia.edu
Expert systems for trading signal detection have received considerable attention in recent
years. In financial trading systems, investors' main concern is determining the best time to …

[引用][C] Isolating Natural Problem Environments in Unconstrained Natural Language Processing: Corruption and Skew

C Wong - Transactions on Machine Learning and Artificial …, 2017