You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Efficient Frequent Itemset Mining from Dense Data Streams
|
---|---|
Chapter number | 56 |
Book title |
Web Technologies and Applications
|
Published by |
Springer, Cham, September 2014
|
DOI | 10.1007/978-3-319-11116-2_56 |
Book ISBNs |
978-3-31-911115-5, 978-3-31-911116-2
|
Authors |
Alfredo Cuzzocrea, Fan Jiang, Wookey Lee, Carson K. Leung |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 8% |
Unknown | 12 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 2 | 15% |
Student > Ph. D. Student | 2 | 15% |
Student > Bachelor | 2 | 15% |
Student > Master | 2 | 15% |
Unknown | 5 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 38% |
Mathematics | 1 | 8% |
Medicine and Dentistry | 1 | 8% |
Unknown | 6 | 46% |