Multi-source Knowledge Fusion: A Survey

Zhao, Xiaoguang; Jia, Yan; Li, Aiping; Jiang, Rong; Xie, Haocheng; Song, Yichen; Han, Weihong

doi:10.1109/dsc.2019.00026

Cited by 3 publications

(1 citation statement)

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“…[21] , stock market prediction approaches were reviewed based on the soft computing techniques. One of the recent surveys on data fusion in smart city applications [22] , authors discussed about smart economics based on fusion approaches whereas the survey on multi-source knowledge fusion [23] , stock market prediction was discussed in the multi-modal-based aspect. For the quantitative financial applications, various machine learning techniques were reviewed in Ref.…”

Section: Introductionmentioning

confidence: 99%

Fusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions

2021

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Investment in a financial market is aimed at getting higher benefits; this complex market is influenced by a large number of events wherein the prediction of future market dynamics is challenging. The investors’ etiquettes towards stock market may demand the need of studying various associated factors and extract the useful information for reliable forecasting. Fusion can be considered as an approach to integrate data or characteristics, in general, and enhance the prediction based on the combinational approach that can aid each other. We conduct a systematic approach to present a survey for the years 2011–2020 by considering articles that have used fusion techniques for various stock market applications and broadly categorize them into information fusion, feature fusion, and model fusion. The major applications of stock market include stock price and trend prediction, risk analysis and return forecasting, index prediction, as well as portfolio management. We also provide an infographic overview of fusion in stock market prediction and extend our survey for other finely addressed financial prediction problems. Based on our surveyed articles, we provide potential future directions and concluding remarks on the significance of applying fusion in stock market.

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Section: Introductionmentioning

confidence: 99%