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| Chapter title |
A Survey on Swarm and Evolutionary Algorithms for Web Mining Applications
|
|---|---|
| Chapter number | 2 |
| Book title |
Swarm, Evolutionary, and Memetic Computing
|
| Published in |
Lecture notes in computer science, January 2011
|
| DOI | 10.1007/978-3-642-27242-4_2 |
| Book ISBNs |
978-3-64-227241-7, 978-3-64-227242-4
|
| Authors |
Ashok Kumar Panda, S. N. Dehuri, M. R. Patra, Anirban Mitra |
| Editors |
Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das, Suresh Chandra Satapathy |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | 14% |
| Brazil | 1 | 14% |
| Unknown | 5 | 71% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 43% |
| Student > Master | 1 | 14% |
| Student > Bachelor | 1 | 14% |
| Researcher | 1 | 14% |
| Student > Postgraduate | 1 | 14% |
| Other | 0 | 0% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 71% |
| Business, Management and Accounting | 1 | 14% |
| Engineering | 1 | 14% |