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Empirical Research in Software Engineering
book

Empirical Research in Software Engineering

by Ruchika Malhotra
March 2016
Intermediate to advanced content levelIntermediate to advanced
498 pages
18h 20m
English
Chapman and Hall/CRC
Content preview from Empirical Research in Software Engineering
434 Empirical Research in Software Engineering
Further Readings
The basic use of WEKA tool is described in:
M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I. H. Witten,
“The WEKA data mining software: An update,” ACM SIGKDD Explorations
Newsletter,vol. 11, no. 1, pp. 10–18, 2009.
I. H. Witten, and E. Frank, Data Mining: Practical Machine Learning Tools and Techniques,
Morgan Kaufmann, Boston, MA, 2005.
TABLE 12.2 (Continued)
Parameter Comparison
Parameters WEKA MATLAB KEEL SPSS R
J48 Y N N N Y
Alternating decision trees Y N N N Y
Voted perceptron Y N N N N
Fuzzy logic Y Y Y N Y
Convolutional neural network N Y N N Y
Probabilistic neural ...
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Publisher Resources

ISBN: 9781498719735