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Mendeley readers
| Chapter title |
Credit Card Transactions, Fraud Detection, and Machine Learning: Modelling Time with LSTM Recurrent Neural Networks
|
|---|---|
| Chapter number | 10 |
| Book title |
Innovations in Neural Information Paradigms and Applications
|
| Published by |
Springer, Berlin, Heidelberg, January 2009
|
| DOI | 10.1007/978-3-642-04003-0_10 |
| Book ISBNs |
978-3-64-204002-3, 978-3-64-204003-0
|
| Authors |
Bénard Wiese, Christian Omlin, Wiese, Bénard, Omlin, Christian |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 1% |
| Unknown | 71 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 24% |
| Student > Ph. D. Student | 9 | 13% |
| Student > Doctoral Student | 7 | 10% |
| Student > Bachelor | 6 | 8% |
| Researcher | 4 | 6% |
| Other | 5 | 7% |
| Unknown | 24 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 27 | 38% |
| Engineering | 11 | 15% |
| Business, Management and Accounting | 2 | 3% |
| Mathematics | 2 | 3% |
| Psychology | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 26 | 36% |