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Frequent Item-set Mining For Electronics Data

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  • Nayak, Nikhil Ranjan

Abstract

Data Analytics plays an important role in the decision-making process. Insights from such pattern analysis offer vast benefits, including increased revenue, cost cutting, and improved competitive advantage. However, the hidden patterns of the frequent item-sets become more time consuming to be mined when the amount of data increases over the time. Moreover, significant memory consumption is needed in mining the hidden patterns of the frequent item-sets due to a heavy computation by the algorithm. Therefore, an efficient algorithm is required to mine the hidden patterns of the frequent item-sets within a shorter run time and with less memory consumption while the volume of data increases over the time period.

Suggested Citation

  • Nayak, Nikhil Ranjan, 2020. "Frequent Item-set Mining For Electronics Data," OSF Preprints d8u5b, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:d8u5b
    DOI: 10.31219/osf.io/d8u5b
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