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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Chamola, Vinay | - |
| dc.date.accessioned | 2023-03-16T06:16:46Z | - |
| dc.date.available | 2023-03-16T06:16:46Z | - |
| dc.date.issued | 2019 | - |
| dc.identifier.uri | https://ieeexplore.ieee.org/abstract/document/9013787 | - |
| dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9770 | - |
| dc.description.abstract | Stock exchanges around the world are exploring the best possible solution that can improve trading efficiency, lower the risks and tighten secu- rity levels. The working and functioning of a stock exchange involves very hectic and cumbersome pro- cedures which are time consuming, cost inefficient and can be prone to numerous risks. Machine learning and Blockchain are most popular upcoming technologies. In this paper we present a novel secure and de- centralized intelligent stock market prediction model. We present a blockchain based solution for stock exchange model that uses machine learning accessible smart contracts. The machine learning model makes a prediction on the future of the stock market providing an intelligent solution for secure stock market. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.subject | EEE | en_US |
| dc.subject | Stock markets | en_US |
| dc.subject | Logic gates | en_US |
| dc.subject | Peer-to-peer computing | en_US |
| dc.subject | Predictive models | en_US |
| dc.subject | Machine Learning | en_US |
| dc.title | Smart Stock Exchange Market: A Secure Predictive Decentralized Model | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Department of Electrical and Electronics Engineering | |
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