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- W2546479897 abstract "One of the important issues related with all types of data analysis, either statistical data analysis, machine learning, data mining, data science or whatever form of data-driven modeling, is data quality. The more complex the reality to be analyzed is, the higher the risk of getting low quality da ta. Unfortunately real data often contain noise, uncertainty, errors, redundancies or even irrelevant information. Useless models will be obtained when built over incorrect or incomplete data. As a consequence, the quality of decisions made over these models, also depends on data quality. This is why pre-processing is one of the most critical steps of data analysis in any of its forms. However, pre-processing has not been properly systematized yet, and little research is focused on this. In this paper a survey on most popular pre-processing steps required in environmental data analysis is presented, together with a proposal to systematize it. Rather than providing technical details on specific pre-processing techniques, the paper focus on providing general ideas to a non-expert user, who, after reading them, can decide which one is the more suitable technique required to solve his/her problem." @default.
- W2546479897 created "2016-11-11" @default.
- W2546479897 creator A5020268190 @default.
- W2546479897 creator A5069614673 @default.
- W2546479897 creator A5077476379 @default.
- W2546479897 date "2016-12-01" @default.
- W2546479897 modified "2023-10-05" @default.
- W2546479897 title "A survey on pre-processing techniques: Relevant issues in the context of environmental data mining" @default.
- W2546479897 cites W103324506 @default.
- W2546479897 cites W124008658 @default.
- W2546479897 cites W129305155 @default.
- W2546479897 cites W138891465 @default.
- W2546479897 cites W140777655 @default.
- W2546479897 cites W1497078786 @default.
- W2546479897 cites W1513838499 @default.
- W2546479897 cites W1523590985 @default.
- W2546479897 cites W1523646822 @default.
- W2546479897 cites W1523948073 @default.
- W2546479897 cites W1523989055 @default.
- W2546479897 cites W1534477342 @default.
- W2546479897 cites W1534519688 @default.
- W2546479897 cites W1571313647 @default.
- W2546479897 cites W1583700199 @default.
- W2546479897 cites W1588282782 @default.
- W2546479897 cites W1594998971 @default.
- W2546479897 cites W1678357956 @default.
- W2546479897 cites W1780809910 @default.
- W2546479897 cites W1808644423 @default.
- W2546479897 cites W1827261456 @default.
- W2546479897 cites W1919216911 @default.
- W2546479897 cites W1941659294 @default.
- W2546479897 cites W1964042173 @default.
- W2546479897 cites W1973315244 @default.
- W2546479897 cites W1977759064 @default.
- W2546479897 cites W1978887356 @default.
- W2546479897 cites W1982801133 @default.
- W2546479897 cites W1986471774 @default.
- W2546479897 cites W1987301751 @default.
- W2546479897 cites W1989101118 @default.
- W2546479897 cites W1993220166 @default.
- W2546479897 cites W1994016303 @default.
- W2546479897 cites W1994252348 @default.
- W2546479897 cites W1994410331 @default.
- W2546479897 cites W1994480364 @default.
- W2546479897 cites W1994550352 @default.
- W2546479897 cites W1997073273 @default.
- W2546479897 cites W199928093 @default.
- W2546479897 cites W2000781869 @default.
- W2546479897 cites W2002457254 @default.
- W2546479897 cites W2003039497 @default.
- W2546479897 cites W2004131797 @default.
- W2546479897 cites W2004561649 @default.
- W2546479897 cites W2008794359 @default.
- W2546479897 cites W2009207944 @default.
- W2546479897 cites W2009272467 @default.
- W2546479897 cites W2013021834 @default.
- W2546479897 cites W2013058666 @default.
- W2546479897 cites W2013694025 @default.
- W2546479897 cites W2014794428 @default.
- W2546479897 cites W2014826808 @default.
- W2546479897 cites W2014915963 @default.
- W2546479897 cites W2016159616 @default.
- W2546479897 cites W2017337590 @default.
- W2546479897 cites W2018296386 @default.
- W2546479897 cites W2019184903 @default.
- W2546479897 cites W2024649846 @default.
- W2546479897 cites W2029966875 @default.
- W2546479897 cites W2036804696 @default.
- W2546479897 cites W2039814708 @default.
- W2546479897 cites W2040010062 @default.
- W2546479897 cites W2045171284 @default.
- W2546479897 cites W2050050052 @default.
- W2546479897 cites W2051958212 @default.
- W2546479897 cites W2054333648 @default.
- W2546479897 cites W2056168656 @default.
- W2546479897 cites W2060235816 @default.
- W2546479897 cites W2060542593 @default.
- W2546479897 cites W2061480162 @default.
- W2546479897 cites W2065004162 @default.
- W2546479897 cites W2065105535 @default.
- W2546479897 cites W2065143564 @default.
- W2546479897 cites W2066883679 @default.
- W2546479897 cites W2067082188 @default.
- W2546479897 cites W2086916198 @default.
- W2546479897 cites W2087327261 @default.
- W2546479897 cites W2088658068 @default.
- W2546479897 cites W2090316360 @default.
- W2546479897 cites W2094308414 @default.
- W2546479897 cites W2096849238 @default.
- W2546479897 cites W2096942889 @default.
- W2546479897 cites W2097681719 @default.
- W2546479897 cites W2100358124 @default.
- W2546479897 cites W2100495367 @default.
- W2546479897 cites W2100868734 @default.
- W2546479897 cites W2101013675 @default.
- W2546479897 cites W2102831150 @default.
- W2546479897 cites W2104499761 @default.
- W2546479897 cites W2104715395 @default.