Using Data Mining with Time Series Data in Short-Term Stocks Prediction: A Literature Review

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International Journal of Intelligence Science

ISSN Print: 2163-0283
ISSN Online: 2163-0356
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E-mail: ijis@scirp.org

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"Using Data Mining with Time Series Data in Short-Term Stocks Prediction: A Literature Review"
written by José Manuel Azevedo, Rui Almeida, Pedro Almeida,
published by International Journal of Intelligence Science, Vol.2 No.4A, 2012

has been cited by the following article(s):

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[1]	The Predictability of Stock Price: Empirical Study on Tick Data in Chinese Stock Market Big Data Research, 2024 DOI:10.1016/j.bdr.2023.100414

[2]	Data-Driven Roadmapping (DDRM): Approach and Case Demonstration IEEE Transactions on Engineering Management, 2022 DOI:10.1109/TEM.2020.3005341

[3]	Green supply chain practices and sustainable performance of mining firms: Evidence from a developing country Cleaner Logistics and Supply Chain, 2022 DOI:10.1016/j.clscn.2022.100046

[4]	Application and performance of data mining techniques in stock market: A review Intelligent Systems in Accounting, Finance and Management, 2022 DOI:10.1002/isaf.1518

[5]	Data-Driven Roadmapping (DDRM): Approach and Case Demonstration IEEE Transactions on Engineering Management, 2022 DOI:10.1109/TEM.2020.3005341

[6]	Application and performance of data mining techniques in stock market: A review Intelligent Systems in Accounting, Finance and Management, 2022 DOI:10.1002/isaf.1518

[7]	Recent Trends in Design, Materials and Manufacturing Lecture Notes in Mechanical Engineering, 2022 DOI:10.1007/978-981-16-4083-4_22

[8]	Assessment of Interannual Variability of Moistening of Siberian Territory According to Observational Data Water, 2021 DOI:10.3390/w13162200

[9]	Stock Movement Modeling Based on the Analysis of Negative Correlation International Journal of e-Education, e-Business, e-Management and e-Learning, 2020 DOI:10.17706/ijeeee.2020.10.2.125-134

[10]	FORECASTING, VALUATION AND PORTFOLIO RETURNS OF STOCK MARKET EVOLUTION: PROBLEMS, PARADOXES AND EFFICIENT INFORMATION. WORLDWIDE IMPLICATIONS AND ROMANIAN EVIDENCE Journal of Business Economics and Management, 2019 DOI:10.3846/jbem.2019.11355

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[15]	Time Series Data Mining International Journal of Business Analytics, 2014 DOI:10.4018/ijban.2014100104

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