Chandramouli H.

Work place: Department of Computer Science and Engineering, East Point College of Engineering and Technology, Bangalore, India



Research Interests: Network Security, Network Architecture, Computer Networks


Dr. Chandramouli H. received his PhD in the year of 2014 and currently working as a Professor in the Department of Computer Science and Engineering at East Point College of Engineering and Technology, Bengaluru. He has 22 years of rich experience in the academics. He has published more than 25 research articles in National and International Journals. He holds CSI membership and an active member in CSI events. His research area includes wireless sensor network, Resource allocation in Networking, Big Data Analytics.

Author Articles
Parallel DBSCAN Clustering Algorithm Using Hadoop Map-reduce Framework for Spatial Data

By Maithri. C. Chandramouli H.

DOI:, Pub. Date: 8 Dec. 2022

Data clustering is the first step for future applications of big data analysis. It is a driving model for Artificial Intelligence and Machine Learning architectures. Processing large volumes of data in faster mode is a big challenge in these applications. which requires fast and efficient algorithms for handling big data. Parallel clustering algorithms are one promising design, which increases the speed of handling such big data. In this paper, a parallel algorithm for clustering a spatial dataset called the P-DBSCAN algorithm is implemented using Hadoop map-reduce framework. This research paper signifies the improvement for data clustering in data analytic applications. The new P-DBSCAN algorithm is executed over generated dataset. The result of this parallel algorithm is compared with existing DBSCAN algorithm to show improvement of runtime performance. This work offers an increase in the performance of execution time. In addition, the outcome of P-DBSCAN shows how to resolve the scalability problem of a large data set.

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