Ravali Kruthiventi (Research Plan)

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Project - USPTO Assignees, Patent and Citation Data

Assignees Data

  • Data source: patent database (merged data from patent_2015 and patentdata databases)
    • Issues: citations data contains non numeric patent numbers (likely application numbers, etc)
    • Solution:
      • Segregate into smaller tables so that Amir and Marcela can identify patterns
      • link back to appropriate patent numbers from the patent table
    • Time to implement: 1 day
    • Priority:
    • Teams waiting for it:
    • Deadline:
  • Data Source: USPTO Bulk Data repository
    • Issues:
      • The script inserts copies of data into the tables.
      • Analysis required on the data to make sure the data was inserted correctly from the XML files.
      • Analysis is also required to determine whether this data is better than the data we have in the patent database right now.
        • Action owners : Amir and Marcela
    • Solution:
      • Amir and Marcela and/or I need to look at the data to determine quality
        • If they find that any of this data is better than the data we currently have, I will have to figure out a way to integrate this data into our data model for patent data.
      • Amir and Marcela and/or I will need to delete the copies
    • Time to implement:
    • Priority:
    • Teams waiting for it:
    • Deadline:

Project - Lex Machina Data

  • Data Source:
    • Issues:
    • Solution:
    • Time to implement:
    • Priority:
    • Teams waiting for it:
    • Deadline:


Project - Pattern Recognition on Patent Data through Machine Learning

  • Data Source: The patent database.
    • Plan:
      • Technique
        • Determine research question to be asked
        • Scrub data
        • Determine 3-4 mining\machine learning techniques to best extract patterns
        • Train the algorithms
        • Run the algos on sample dataset
        • Determine the algo with best results
        • Implement the
    • Known Issues:
      • Dataset to be cleaned, quality analyzed as specified above.
    • Deliverables
      • Set of patterns to base further research on
      • Research paper (?)
        • Documentation - Wiki page
    • Time to implement:
    • Priority:
    • Teams waiting for it: None
    • Deadline: