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20172024
most citedImproving Stock Market Prediction via Heterogeneous Information Fusion

210 citations · 303 across the 11 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

q-fin.ST2018★ 1 cited

Enhancing Stock Market Prediction with Extended Coupled Hidden Markov Model over Multi-Sourced Data

Xi Zhang, Yixuan Li, Senzhang Wang +2

Traditional stock market prediction methods commonly only utilize the historical trading data, ignoring the fact that stock market fluctuations can be impacted by various other inf…

cs.CR2018★ 5 cited

The Coming Era of AlphaHacking? A Survey of Automatic Software Vulnerability Detection, Exploitation and Patching Techniques

Tiantian Ji, Yue Wu, Chang Wang +2

With the success of the Cyber Grand Challenge (CGC) sponsored by DARPA, the topic of Autonomous Cyber Reasoning System (CRS) has recently attracted extensive attention from both in…

cs.LG2018★ 2 cited

A Tensor-Based Sub-Mode Coordinate Algorithm for Stock Prediction

Jieyun Huang, Yunjia Zhang, Jialai Zhang +1

The investment on the stock market is prone to be affected by the Internet. For the purpose of improving the prediction accuracy, we propose a multi-task stock prediction model tha…

cs.CE2018★ 68 cited

Exploiting Investors Social Network for Stock Prediction in China's Market

Xi Zhang, Jiawei Shi, Di Wang +1

Recent works have shown that social media platforms are able to influence the trends of stock price movements. However, existing works have majorly focused on the U.S. stock market…

cs.SI2018★ 210 cited

Improving Stock Market Prediction via Heterogeneous Information Fusion

Xi Zhang, Yunjia Zhang, Senzhang Wang +3

Traditional stock market prediction approaches commonly utilize the historical price-related data of the stocks to forecast their future trends. As the Web information grows, recen…