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Home / Archives / Volume-6 / Issue-1 / Article-6

Volume - 6 | Issue - 1 | march 2024

AI-Driven Exploration and Prediction of Company Registration Trends with Registrar of Companies (RoC) Open Access
Ramya Venkatakrishnan  , Mohanavarshini Sivagurunathan, Lalitha Siva, Subiksha Subramani, Arjun Paramarthalingam  92
Pages: 64-75
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Cite this article
Venkatakrishnan, Ramya, Mohanavarshini Sivagurunathan, Lalitha Siva, Subiksha Subramani, and Arjun Paramarthalingam. "AI-Driven Exploration and Prediction of Company Registration Trends with Registrar of Companies (RoC)." Journal of Ubiquitous Computing and Communication Technologies 6, no. 1 (2024): 64-75
Published
02 May, 2024
Abstract

This study presents a comprehensive analysis of company registration trends in India, focusing on data sourced from the Registrar of Companies (RoC). The study investigates the temporal patterns of company registrations, emphasizing principal business activities and classifications into public and private sectors. Leveraging advanced data pre-processing techniques, The Study explores the spatial and temporal dynamics of company registrations. Furthermore, a suite of machine learning algorithms, including Linear regression, Decision tree, Random Forest, GBM, SVM, KNN, Naive Bayes, and Weka, is employed to predict future registration trends. Visualization of insights is facilitated through the use of Tableau. The findings provide valuable insights for stakeholders in business, policy, and investment sectors, aiding informed decision-making and strategic planning.

Keywords

Company Registration Trends Registrar of Companies (Roc) Exploratory Data Analysis Predictive Analytics Machine Learning Algorithms Weka Tableau Visualization

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