Comparative Study of Real Time Machine Learning Models for Stock Prediction through Streaming Data

Ranjan Behera; Sushree Das; Santanu Rath; Sanjay Misra; Robertas Damasevicius

doi:10.3897/jucs.2020.059

Research Article

JUCS - Journal of Universal Computer Science 26(9): 1128-1147
https://doi.org/10.3897/jucs.2020.059 (28 Sep 2020)

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DOI: 10.3390/math11061503

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DOI: 10.1002/csr.2694

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DOI: 10.3390/info13110524

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DOI: 10.3390/informatics8040069

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DOI: 10.1007/s41870-022-01073-x

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DOI: 10.2174/2666255814666210823162228

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DOI: 10.58567/fel02020004

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DOI: 10.1002/cpe.7642

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DOI: 10.1007/s12530-022-09481-x

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DOI: 10.1007/978-3-031-22792-9_6

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DOI: 10.1002/9781394214334.ch1