The WEKA data mining software: an update More than twelve years have elapsed since the first public release of WEKA. In that time, the software has been rewritten entirely from scratch, evolved su... B Pfahringer,P Reutemann,IH Witten,... - 《Acm Sigkdd Explorations Newsletter》 被引量:...
“The WEKA Data Mining Software: An Update.” In: ACM SIGKDD Explorations Newsletter Journal, 11(1). doi:10.1145/1656274.1656278 Subject Headings: WEKA System. Notes Cited By http://scholar.google.com/scholar?q=%222009%22+The+WEKA+Data+Mining+Software%3A+An+Update http://dl.acm.org/...
The WEKA data mining software: an update. SIGKDD Explor. Newsl. 11, 10–18, https://doi.org/10.1145/1656274.1656278 (2009). Article Google Scholar Tung, C. W. & Ho, S. Y. Computational identification of ubiquitylation sites from protein sequences. BMC Bioinformatics 9, 310, https://...
et al. The WEKA data mining software: an update. SIGKDD Explor. Newsl. 11, 10–18, doi: 10.1145/1656274.1656278 (2009). 58. Bendtsen, J. D., Nielsen, H., von Heijne, G. & Brunak, S. Improved prediction of signal peptides: SignalP 3.0. Journal of molecular biology 340, 783–...
Journal of Machine Learning Research, 12:2825–2830, 2011. [7] Mark Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, and Ian H. Witten. The WEKA data mining software: An update. SIGKDD Explorations, 11(1), 2009. Tags digital humanities, genre, machine learning ...
Witten (2009); The WEKA Data Mining Software: An Update; SIGKDD Explorations, Volume 11, Issue 1. 72. Griffiths-Jones S. Annotating non-coding RNAs with Rfam. CurrProtoc Bioinformatics. 2005; Apr Chapter 12:Unit 12.5. 73. Robinson MD, Oshlack A. A scaling normalization method for ...
The WEKA data mining software: an update ACM SIGKDD Explor. Newslett., 11 (1) (2009), pp. 10-18 Google Scholar [31] Y.R. Tausczik, J.W. Pennebaker The psychological meaning of words: LIWC and computerized text analysis methods J. Lang. Soc. Psychol., 29 (1) (2010), pp. 24...
These calculations were made using the full dataset of 90 farms for training, and also using 10-fold cross validation (using 90% of the data for training and 10% for testing) in the data mining software WEKA (Hall et al., 2009). 2.4.4.2. Model scenario analysis The influence of ...
The WEKA data mining software: an update. SIGKDD Explor. Newsl. 11, 10–18 (2009). Article Google Scholar Ulfenborg, B., Klinga-Levan, K. & Olsson, B. Classification of tumor samples from expression data using decision trunks. Cancer Inform. 12, 53–66 (2013). Article Google ...
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