Implementation and Analysis of the Performance of EDTA (Enhanced Decision Tree Data Mining Algorithm) for diagnosis of Angioplasty and Stents for Heart Disease Treatment

Authors

  • Kaur A Dept. of CSE, Pacific University, Udaipur, India
  • Jetawat A Dept. of CSE, Pacific University, Udaipur, India
  • Singh G Dept. of CSE, ST.Soldier Institute Of Engg & Tech, Jalandhar, India

DOI:

https://doi.org/10.26438/ijcse/v6i4.541543

Keywords:

Mobile Services, CART, C45, EDTA

Abstract

Data mining is a process of extraction of useful information and patterns from huge data. It is also called as knowledge discovery process, knowledge mining from data, knowledge extraction or data pattern analysis. We present a improved approach to support nearest neighbor queries from mobile hosts by leveraging the sharing capabilities of wireless ad-hoc networks. We illustrate how previous query results cached in the local storage of neighboring mobile peers can be leveraged to either fully or partially compute and verify spatial queries at a local host. The feasibility and appeal of our technique is illustrated through extensive simulation results that indicate a considerable reduction of the query load on the remote database.

References

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Published

2025-11-12
CITATION
DOI: 10.26438/ijcse/v6i4.541543
Published: 2025-11-12

How to Cite

[1]
A. Kaur, A. Jetawat, and G. Singh, “Implementation and Analysis of the Performance of EDTA (Enhanced Decision Tree Data Mining Algorithm) for diagnosis of Angioplasty and Stents for Heart Disease Treatment”, Int. J. Comp. Sci. Eng., vol. 6, no. 4, pp. 341–344, Nov. 2025.

Issue

Vol. 6 No. 4 (2018): IJCSE April Edition

Section

Research Article

License

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