Ravali Kruthiventi (Research Plan)
Revision as of 12:39, 15 July 2016 by RavaliKruthiventi (talk | contribs) (→Project - USPTO Assignees, Patent and Citation Data)
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:
- Marcela and Amir
- Project : Patent data analysis
- Jake and James, potentially could need this down the line
- Project : LBO data
- Marcela and Amir
- 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
- Amir and Marcela and/or I need to look at the data to determine quality
- Time to implement:
- Priority:
- Teams waiting for it:
- Deadline:
- Issues:
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
- Technique
- 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:
- Plan: