Implementation Density Based clustering in Data Mining

Authors

  • Poonam Rani Research Scholar, Department of CSE, JIET, Jind.
  • Kirti Gautam Assistant Professor, Department of CSE, JIET, Jind

Keywords:

Clustering, data mining, hidden predictive, knowledge

Abstract

Data mining extraction of hidden predictive info from large database records, is a powerful new technology with great potential to help companies focus on most important info within their data value warehouses. Data mining utensils predict future trends &behaviors, permitting businesses to make taking initiative, knowledge motivated decisions. Automated, prospective analyses offered by data mining transfer outside analyses of past events providing by retrospective utensils typical of decision support systems. data mining utensils may answer business questions that usually were too time consuming to resolve. They scour database record records for hidden patterns, finding predictive info that experts may miss since this lies outside their expectations.

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Published

2017-03-30

How to Cite

Poonam Rani, & Kirti Gautam. (2017). Implementation Density Based clustering in Data Mining. Universal Research Reports, 4(1), 1–8. Retrieved from https://urr.shodhsagar.com/index.php/j/article/view/21

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Section

Original Research Article