Title :
iPresage: An innovative patent landscaping tool
Author :
Avasarala, Viswanath ; Bonissone, Piero
Author_Institution :
Machine Learning Lab., GE Global Res., Schenectady, NY, USA
Abstract :
iPresage is a web-based interactive tool for rapid and scalable patent landscaping. iPresage relies on sophisticated text mining, statistical machine learning and computational intelligence algorithms to allow analysts to mine large patent databases and evaluate whitespaces and temporal trends. This paper describes iPresage algorithms in detail and showcases iPresage functionality, using an illustrative example.
Keywords :
Internet; data mining; database management systems; learning (artificial intelligence); patents; statistical analysis; text analysis; Web-based interactive tool; computational intelligence algorithms; iPresage algorithms; iPresage functionality; innovative patent landscaping tool; large patent database mining; rapid patent landscaping; scalable patent landscaping; sophisticated text mining; statistical machine learning; temporal trends; Algorithm design and analysis; Evolutionary computation; Patents; Resource management; Software; Vectors; Visualization; Bayesian Models; Evolutionary Computation; Latent Dirchlet Allocation; Multi-Dimensional Scaling;
Conference_Titel :
Evolutionary Computation (CEC), 2012 IEEE Congress on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-1510-4
Electronic_ISBN :
978-1-4673-1508-1
DOI :
10.1109/CEC.2012.6256503
