17806530. DATA FACET GENERATION AND RECOMMENDATION simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

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DATA FACET GENERATION AND RECOMMENDATION

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Manjit Singh Sodhi of Bangalore (IN)

Nithin Mathew of Bangalore (IN)

Shashank Mujumdar of Nagpur (IN)

Nitin Gupta of Saharanpur (IN)

DATA FACET GENERATION AND RECOMMENDATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 17806530 titled 'DATA FACET GENERATION AND RECOMMENDATION

Simplified Explanation

The abstract describes a method, computer program, and computer system for generating data facets and transformations for a dataset. Here are the key points:

  • Data associated with a dataset is received, which includes data entries with elements and data types.
  • Data facets are generated for each data entry based on the associated data type.
  • Transformations are generated for the data facets based on a machine learning task associated with the dataset.
  • A recommendation is provided to the user, including computer code for an optimal transformation.

Potential Applications

This technology has potential applications in various fields, including:

  • Data analysis and exploration
  • Machine learning and predictive modeling
  • Natural language processing and text mining
  • Image and video processing
  • Sensor data processing

Problems Solved

This technology addresses the following problems:

  • Manual and time-consuming process of generating data facets and transformations for a dataset.
  • Difficulty in identifying optimal transformations for a specific machine learning task.
  • Lack of automated recommendations for data analysis and modeling tasks.

Benefits

The use of this technology offers several benefits:

  • Automation of the data facet and transformation generation process, saving time and effort.
  • Improved accuracy and efficiency in identifying relevant data facets and transformations.
  • Enhanced performance and effectiveness of machine learning tasks.
  • Facilitates data analysis and modeling tasks for users with limited programming or data science expertise.


Original Abstract Submitted

A method, computer program, and computer system are provided for data facet generation. Data associated with a dataset is received. The received data includes one or more data entries having one or more elements. The one or more elements are associated with one or more data types. One or more data facets are generated for each of the data entries with the received data based on the associated data type. One or more transformations are generated for the data facet corresponding to a machine learning task associated with the dataset. A recommendation is provided to a user based on the generated transformation. The provided recommendation includes generated computer code corresponding to an optimal transformation associated with the machine learning task.

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