Patent Application for Data Mining and Exploration System

Researchers at Novacene Ai Corp. have submitted a patent application for a system and method for data mining and exploration, tackling several challenges in the field. The proposed system would allow users to easily explore and analyze large datasets, providing valuable insights in a user-friendly interface. Key innovations include the ability to transform raw, unstructured text into meaningful insights quickly and effectively, and the capacity to analyze both structured and unstructured data in a centralized manner.

Key Takeaways:

  • The system will enable users to explore data through a platform that generates a visual representation of the data, with multiple widgets that are explorable and navigable to determine insights.
  • The system will include a selection feature that allows users to create subsets of the data based on values displayed in the widgets.
  • The system will automatically generate the type of each widget based on data values in the enriched dataset.
  • The system will provide a built-in enricher option, as well as a variable buildable enricher that can be built using models trained by the user with a specific uploaded dataset.
  • The system will preserve the integrity of the original dataset by generating a clone of it and adding the enriched dataset to the clone.
  • The system will allow users to upload or fetch dataset based on a query by the user.

Statistics:

  • The proposed system aims to tackle 3 major challenges in data mining: data correction, model improvement, and data analysis.
  • Current data mining systems often create multiple enriched datasets for a single enrichment type, preventing the collection of all related predictions in a centralized place.
  • Existing systems also struggle with improving training datasets with user corrections and comparing the performance of old models against newly trained models.
  • The proposed system aims to provide a platform for users to explore data, run enrichers, and visualize results in a centralized and user-friendly manner.
  • The system will automatically generate secondary widgets for further subset creation through user selection.

Sources:

  • Bursztein, M. F., & Langstone, R. S. (2025, February 10). System and Method for Data Mining and Exploration. U.S. Patent Application Number 20250307274. Filed on February 10, 2025.
  • Bursztein, M. F., & Langstone, R. S. (2025, October 2). System and Method for Data Mining and Exploration. U.S. Patent Application Number 20250307274, US-PGPUB.