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Mendeley readers
Chapter title |
Introducing Machine Learning Concepts with WEKA
|
---|---|
Chapter number | 17 |
Book title |
Statistical Genomics
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3578-9_17 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3576-5, 978-1-4939-3578-9
|
Authors |
Tony C. Smith, Eibe Frank, Smith, Tony C., Frank, Eibe |
Editors |
Ewy Mathé, Sean Davis |
Abstract |
This chapter presents an introduction to data mining with machine learning. It gives an overview of various types of machine learning, along with some examples. It explains how to download, install, and run the WEKA data mining toolkit on a simple data set, then proceeds to explain how one might approach a bioinformatics problem. Finally, it includes a brief summary of machine learning algorithms for other types of data mining problems, and provides suggestions about where to find additional information. |
Mendeley readers
The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
Germany | 1 | <1% |
Singapore | 1 | <1% |
Unknown | 131 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 22 | 16% |
Student > Master | 17 | 13% |
Researcher | 15 | 11% |
Student > Doctoral Student | 9 | 7% |
Student > Bachelor | 9 | 7% |
Other | 15 | 11% |
Unknown | 47 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 25 | 19% |
Engineering | 13 | 10% |
Biochemistry, Genetics and Molecular Biology | 9 | 7% |
Agricultural and Biological Sciences | 7 | 5% |
Medicine and Dentistry | 6 | 4% |
Other | 21 | 16% |
Unknown | 53 | 40% |