In: Data Preprocessing in Data Mining, pp. 285–313. Springer (2015)Garcia, S., Luengo, J., Herrera, F., 2015. Data preprocessing in data mining. Springer, Berlin.Salvador, G., Julin, L., Francisco, H.: Data preprocessing in Data Mining. In: Kacprzyk, J., (ed.) Polish Academy ...
(2015). Data Sets and Proper Statistical Analysis of Data Mining Techniques. In: Data Preprocessing in Data Mining. Intelligent Systems Reference Library, vol 72. Springer, Cham. https://doi.org/10.1007/978-3-319-10247-4_2 Download citation .RIS .ENW .BIB DOIhttps://doi.org/10.1007/978-...
Data Annotation and Preprocessing Chengqing Zong, Rui Xia, Jiajun Zhang Pages 15-31 Text Representation Chengqing Zong, Rui Xia, Jiajun Zhang Pages 33-73 Text Representation with Pretraining and Fine-Tuning Chengqing Zong, Rui Xia, Jiajun Zhang Pages 75-92 Text Classification Chengqi...
S. (2017). Review of data preprocessing techniques in data mining. Journal of Engineering and Applied Sciences, 12(16), 4102–4107. doi:10.3923/jeasci.2017.4102.4107 (Open in a new window)Google Scholar Albawi, S., Mohammed, T. A., & Al-Zawi, S. (2018). Understanding of a ...
Tutorial on practical tips of the most influential data preprocessing algorithms in data mining. Knowl.-Based Syst. 98, 1–29 (2016). Article Google Scholar Alejo, R., Garcia, V. & Pacheco-Sanchez, J. H. An efficient over-sampling approach based on mean square error back-propagation for...
Web log mining is the most important application in the research of Web data mining, and data preprocessing on Web log is the key technology. This paper introduces the definition and the main process of Web log mining ,using a real example, probes into the main task and the method of data...
Cryogenic-electron tomography enables the visualization of cellular environments in extreme detail, however, tools to analyze the full amount of information contained within these densely packed volumes are still needed. Detailed analysis of macromolecul
Data preprocessing which includes data cleaning and standardization is the first step in this process. It is a crucial step because real-world data contain inconsistent, noisy data [3, 35]. Indexing [11] is the second step in the process. In the comparison step, record pairs are compared ...
García S, Luengo J, Herrera F. Data Preprocessing in Data Mining. Berlin: Springer; 2015. BookGoogle Scholar Han J, Kamber M, Pei J. Data Mining: Concepts and Techniques, 3rd ed. Burlington: Morgan Kaufmann Publishers Inc; 2011.
In the fast-paced world of machine learning, data truly is king. While complex algorithms can uncover patterns, make predictions, and even automate processes, their success hinges on one crucial element: the quality of the data they're fed. This chapter