Abstract
In present data science world, data is primary for any analytics, analysis, mining, prediction, and description activity. Although many steps are defined and actively used in random for cleaning and preprocessing of dataset previously but there exist some gaps, degrading the overall quality of data as well as knowledge discovery procedure. In this work, some major additional activities are identified in data manipulation paradigm that can enhance decision-making capability of any mining algorithm. With introduction of new methods at collection and cleaning levels, a data preprocessing algorithm is also proposed here. The improvement in overall knowledge discovery process is demonstrated using a real-time dataset.
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Sharma, G., Tripathi, V. (2021). Effective Knowledge Discovery Using Data Mining Algorithm. In: Fong, S., Dey, N., Joshi, A. (eds) ICT Analysis and Applications. Lecture Notes in Networks and Systems, vol 154. Springer, Singapore. https://doi.org/10.1007/978-981-15-8354-4_15
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DOI: https://doi.org/10.1007/978-981-15-8354-4_15
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