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Call for Papers:Vol.11 Issue.4

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Title: :  ENHANCING DATA MINING PERFORMANCE WITH THE DBSCAN DENSITY-BASED CLUSTERING ALGORITHM
PaperId: :  26229
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 2 2025
DUI:    16.0415/IJARIIE-26229
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Ranjeet KumarR.K.D.F.I.S.T., BHOPAL
Dr. Ravindra Kumar GuptaR.K.D.F.I.S.T., BHOPAL

Abstract

COMPUTER SCIENCE & ENGINEERING
Data Mining, Clustering Algorithms, DBSCAN (Density-Based Spatial Clustering of Applications with Noise), Performance Optimization, Density Variations, High-Dimensional Data, Noise Handling, Parameter Tuning, Adaptive Clustering
Data mining techniques play a crucial role in extracting valuable insights from large datasets, with clustering methods being among the most widely used. The Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm is notable for its ability to identify clusters of varying shapes while effectively handling noise. However, DBSCAN faces limitations with high-dimensional data and varying density clusters, which restrict its performance in complex datasets. This thesis investigates methods to enhance the performance of DBSCAN, focusing on optimizing parameters, improving computational efficiency, and addressing density variations within clusters. We propose an advanced DBSCAN framework that integrates adaptive parameter selection and novel density-based heuristics to improve accuracy and scalability in high-dimensional data mining applications. Experimental results demonstrate that the enhanced DBSCAN algorithm achieves superior clustering accuracy, reduced computational time, and improved noise resilience compared to the traditional DBSCAN. These findings highlight the enhanced DBSCAN's potential as a robust clustering solution for real-world data mining tasks, particularly in scenarios involving large, complex datasets.

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IJARIIE Ranjeet Kumar, and Dr. Ravindra Kumar Gupta. "ENHANCING DATA MINING PERFORMANCE WITH THE DBSCAN DENSITY-BASED CLUSTERING ALGORITHM" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 2 2025 Page 2117-2127
MLA Ranjeet Kumar, and Dr. Ravindra Kumar Gupta. "ENHANCING DATA MINING PERFORMANCE WITH THE DBSCAN DENSITY-BASED CLUSTERING ALGORITHM." International Journal Of Advance Research And Innovative Ideas In Education 11.2(2025) : 2117-2127.
APA Ranjeet Kumar, & Dr. Ravindra Kumar Gupta. (2025). ENHANCING DATA MINING PERFORMANCE WITH THE DBSCAN DENSITY-BASED CLUSTERING ALGORITHM. International Journal Of Advance Research And Innovative Ideas In Education, 11(2), 2117-2127.
Chicago Ranjeet Kumar, and Dr. Ravindra Kumar Gupta. "ENHANCING DATA MINING PERFORMANCE WITH THE DBSCAN DENSITY-BASED CLUSTERING ALGORITHM." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 2 (2025) : 2117-2127.
Oxford Ranjeet Kumar, and Dr. Ravindra Kumar Gupta. 'ENHANCING DATA MINING PERFORMANCE WITH THE DBSCAN DENSITY-BASED CLUSTERING ALGORITHM', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 2, 2025, p. 2117-2127. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/ENHANCING_DATA_MINING_PERFORMANCE_WITH_THE_DBSCAN_DENSITY_BASED_CLUSTERING_ALGORITHM_ijariie26229.pdf (Accessed : ).
Harvard Ranjeet Kumar, and Dr. Ravindra Kumar Gupta. (2025) 'ENHANCING DATA MINING PERFORMANCE WITH THE DBSCAN DENSITY-BASED CLUSTERING ALGORITHM', International Journal Of Advance Research And Innovative Ideas In Education, 11(2), pp. 2117-2127IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/ENHANCING_DATA_MINING_PERFORMANCE_WITH_THE_DBSCAN_DENSITY_BASED_CLUSTERING_ALGORITHM_ijariie26229.pdf (Accessed : )
IEEE Ranjeet Kumar, and Dr. Ravindra Kumar Gupta, "ENHANCING DATA MINING PERFORMANCE WITH THE DBSCAN DENSITY-BASED CLUSTERING ALGORITHM," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 2, pp. 2117-2127, Mar-App 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/ENHANCING_DATA_MINING_PERFORMANCE_WITH_THE_DBSCAN_DENSITY_BASED_CLUSTERING_ALGORITHM_ijariie26229.pdf [Accessed : ].
Turabian Ranjeet Kumar, and Dr. Ravindra Kumar Gupta. "ENHANCING DATA MINING PERFORMANCE WITH THE DBSCAN DENSITY-BASED CLUSTERING ALGORITHM." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 2 ().
Vancouver Ranjeet Kumar, and Dr. Ravindra Kumar Gupta. ENHANCING DATA MINING PERFORMANCE WITH THE DBSCAN DENSITY-BASED CLUSTERING ALGORITHM. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(2) : 2117-2127. Available from: https://ijariie.com/AdminUploadPdf/ENHANCING_DATA_MINING_PERFORMANCE_WITH_THE_DBSCAN_DENSITY_BASED_CLUSTERING_ALGORITHM_ijariie26229.pdf
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