MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641062210 A) filed by J. B. Institute Of Engineering And Technology, Hyderabad, Telangana, on May 15, for 'a system and method for intelligent data preprocessing and automated feature engineering using adaptive machine learning techniques.'
Inventor(s) include Dr. P. Srinivasa Rao; Mrs. Shameenabegum Phatan; Mrs. S. Gayathri Devi; Mrs. G Bharathi; Mrs. Addepalli Bhavana; Mr. Shoeb Irfan; and Ms. Athukuri Priyanka.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a system and method for intelligent data preprocessing and automated feature engineering using adaptive machine learning techniques. The invention integrates data ingestion, data profiling, dynamic preprocessing, automated feature generation, feature selection, and feedback-driven optimization into a unified and scalable framework. The system is capable of analyzing raw data to identify patterns, inconsistencies, and statistical properties, and subsequently applies optimal preprocessing strategies and feature transformations without manual intervention. By incorporating continuous feedback based on model performance, the system iteratively refines its processing pipeline to enhance predictive accuracy and efficiency. The proposed invention supports both batch and real-time data environments and is deployable across distributed computing platforms, thereby providing a robust, efficient, and adaptable solution for improving machine learning workflows across diverse application domains."
Disclaimer: Curated by HT Syndication.
