Implementation Density Based clustering in Data Mining

Authors

  • Shiwani Department of Computer Engg , KUK Kurukshetra University Kurukshetra
  • Abhishek Bhatnagar Assistant Professor, Department of Computer Engg

Keywords:

mining, prospective, permitting, retrospective

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 the 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.

References

Mr. Dishek Mankad “The Study on Data Warehouse Design and Usage” International Journal of Scientific and Research Publications , Volume 3, Issue 3, March 2013 ISSN 2250- 3153

Surajit Chaudhuri wrote on An Overview of Data Warehousing and OLAP Technology (Appears in ACM Sigmod Record, March 1997).

Manjunath T. N. wrote on Realistic Analysis of Data Warehousing and Data Mining Application in Education Domain

Weiss, Sholom M.; and Indurkhya, Nitin (1998); Predictive Data Mining, Morgan Kaufmann

Kimball, R.The Data Warehouse Toolkit. John Wiley, 1996.

Barclay, T., R. Barnes, J. Gray, P. Sundaresan, “Loading Databases using Dataflow Parallelism.” SIGMOD Record, Vol.23, No. 4, Dec.1994.

Blakeley, J.A., N. Coburn, P. Larson. “Updating Derived Relations: Detecting Irrelevant and Autonomously ComputableUpdates.” ACM TODS, Vol.4, No. 3, 1989.

]Gupta, A., I.S. Mumick, “Maintenance of Materialized Views: Problems, Techniques, and Applications.” Data Eng. Bulletin, Vol. 18, No. 2, June 1995.

Zhuge, Y., H. Garcia-Molina, J. Hammer, J. Widom, “View Maintenance in a Warehousing Environment, Proc. Of SIGMOD Conf., 1995.

Downloads

Published

30-09-2016

How to Cite

Shiwani, & Abhishek Bhatnagar. (2016). Implementation Density Based clustering in Data Mining. International Journal for Research Publication and Seminar, 7(4). Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/849

Issue

Section

Original Research Article

Most read articles by the same author(s)