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 |
Entropy-Based Approach to Efficient Cleaning of Big Data in Hierarchical Databases
|
---|---|
Chapter number | 1 |
Book title |
Big Data – BigData 2020
|
Published by |
Springer, Cham, September 2020
|
DOI | 10.1007/978-3-030-59612-5_1 |
Book ISBNs |
978-3-03-059611-8, 978-3-03-059612-5
|
Authors |
Eugene Levner, Boris Kriheli, Arriel Benis, Alexander Ptuskin, Amir Elalouf, Sharon Hovav, Shai Ashkenazi, Levner, Eugene, Kriheli, Boris, Benis, Arriel, Ptuskin, Alexander, Elalouf, Amir, Hovav, Sharon, Ashkenazi, Shai |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 9 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 1 | 11% |
Lecturer | 1 | 11% |
Other | 1 | 11% |
Unknown | 6 | 67% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 1 | 11% |
Agricultural and Biological Sciences | 1 | 11% |
Decision Sciences | 1 | 11% |
Engineering | 1 | 11% |
Unknown | 5 | 56% |