A computing model for trend analysis in stock data stream classification
For several decades, many statistical and scientific efforts took place for the better analysis or prediction of stock trading. But still it is open to offer new avenues for the scientists to rethink and discover new inferences by adopting latest technological scenarios. In this regard, this paper is...
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| Format: | EJournal Article |
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Institute of Advanced Engineering and Science,
2020-09-01.
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| Online Access: | Get fulltext |
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| LEADER | 02166 am a22003013u 4500 | ||
|---|---|---|---|
| 001 | ijeecs20855_14162 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Razak, Abdul |e author |
| 100 | 1 | 0 | |e contributor |
| 700 | 1 | 0 | |a C. R, Nirmala |e author |
| 245 | 0 | 0 | |a A computing model for trend analysis in stock data stream classification |
| 260 | |b Institute of Advanced Engineering and Science, |c 2020-09-01. | ||
| 500 | |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20855 | ||
| 520 | |a For several decades, many statistical and scientific efforts took place for the better analysis or prediction of stock trading. But still it is open to offer new avenues for the scientists to rethink and discover new inferences by adopting latest technological scenarios. In this regard, this paper is trying to apply classification techniques on stock data stream through feature extraction for the trend analysis. The proposed work is involving k-means for clustering samples into two clusters (the stocks in trend as one cluster and another on as stocks not in trend). The trend analysis is done based on density estimation of the stocks with respect to sectors. A well-known data representation method that is histogram is used to represent the sector which is in trend. This work has been implemented and experimented by considering live NSE (India) data using python and its related tools. | ||
| 540 | |a Copyright (c) 2020 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-nc/4.0 | ||
| 546 | |a eng | ||
| 690 | |a Computer Science and Engineering | ||
| 690 | |a Trend analysis; Classification; Stock trading; Data stream | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 19, No 3: September 2020; 1602-1609 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v19.i3 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20855/14162 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20855/14162 |z Get fulltext |