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
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  • 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
      • Amir and Marcela and/or I will need to delete the copies
    • Time to implement:
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Project - Lex Machina Data

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Project - Pattern Recognition on Patent Data through Machine Learning

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    • Plan:
      • Technique
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