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Mendeley readers
Chapter title |
The Impact of Data Normalization on Stock Market Prediction: Using SVM and Technical Indicators
|
---|---|
Chapter number | 7 |
Book title |
Soft Computing in Data Science
|
Published by |
Springer, Singapore, September 2016
|
DOI | 10.1007/978-981-10-2777-2_7 |
Book ISBNs |
978-9-81-102776-5, 978-9-81-102777-2
|
Authors |
Jiaqi Pan, Yan Zhuang, Simon Fong |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 60 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 9 | 15% |
Student > Ph. D. Student | 6 | 10% |
Researcher | 5 | 8% |
Student > Bachelor | 4 | 7% |
Other | 2 | 3% |
Other | 5 | 8% |
Unknown | 29 | 48% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 14 | 23% |
Business, Management and Accounting | 4 | 7% |
Agricultural and Biological Sciences | 2 | 3% |
Engineering | 2 | 3% |
Economics, Econometrics and Finance | 2 | 3% |
Other | 4 | 7% |
Unknown | 32 | 53% |