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Intelligent assistance for data pre-processing

Author
Bilalli, B.; Abello, A.; Aluja, T.; Wrembel, R.
Type of activity
Journal article
Journal
Computer standards & interfaces
Date of publication
2018-03
Volume
57
First page
101
Last page
109
DOI
https://doi.org/10.1016/j.csi.2017.05.004 Open in new window
Repository
http://hdl.handle.net/2117/113239 Open in new window
URL
https://www.sciencedirect.com/science/article/pii/S0920548916302306?via%3Dihub Open in new window
Abstract
A data mining algorithm may perform differently on datasets with different characteristics, e.g., it might perform better on a dataset with continuous attributes rather than with categorical attributes, or the other way around. Typically, a dataset needs to be pre-processed before being mined. Taking into account all the possible pre-processing operators, there exists a staggeringly large number of alternatives. As a consequence, non-experienced users become overwhelmed with pre-processing alter...
Citation
Bilalli, B., Abello, A., Aluja, T., Wrembel, R. Intelligent assistance for data pre-processing. "Computer standards & interfaces", 3 Juny 2017, vol. 57, p. 101-109.
Keywords
Data pre-processing Data mining Meta-learning
Group of research
DTIM - Database Technologies and lnformation Management Group
LIAM - Laboratory of Information Analysis and Modelling
inLab FIB
inSSIDE - integrated Software, Service, Information and Data Engineering

Participants