DOIONLINE 
DOIONLINE Publish In |
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN |
 Journal Home Volume Issue |
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Issue |
Volume-12,Issue-8 ( Aug, 2024 ) | |||||||||
Paper Title |
Data Analysis and Data Prediction Model | |||||||||
Author Name |
Lakshit, Pooja Sharma, Meet Khurana | |||||||||
Affilition |
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Pages |
70-74 | |||||||||
Abstract |
This paper explores the design and implementation of an advanced data analysis and prediction model aimed at enhancing decision-making processes across various domains. The proposed model integrates machine learning algorithms with statistical analysis techniques to predict future trends accurately based on historical data. Key features include the use of neural networks for pattern recognition, regression analysis for trend forecasting, and clustering algorithms for identifying data groupings. To validate the model, a comprehensive series of experiments were conducted using real-world datasets from diverse sectors such as finance, healthcare, and retail. The performance metrics, including accuracy, precision, and recall, were benchmarked against traditional prediction models. Additionally, the model’s robustness was tested under different scenarios to assess its generalizability and reliability. Results demonstrated that the proposed prediction model significantly outperforms existing models in terms of prediction accuracy and computational efficiency. Furthermore, the integration of real-time data processing capabilities enables timely and actionable insights. Keywords - Machine Learning Algorithms, Neural Networks, Regression Analysis, Trend Forecasting | |||||||||
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