Exploratory analytics on patent data sets using the SIMPLE platform
| Autor: | Chen Ying, Thomas D. Griffin, Linda Kato, Stephen K. Boyer, Alfredo Alba, Su Yan, Ana Lelescu, Scott Spangler, Jeffrey Kreulen |
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| Rok vydání: | 2011 |
| Předmět: |
SIMPLE (military communications protocol)
Renewable Energy Sustainability and the Environment Computer science business.industry Process (engineering) Process Chemistry and Technology Energy Engineering and Power Technology Bioengineering Library and Information Sciences Data science Computer Science Applications Software analytics Fuel Technology Patent mining Analytics Business intelligence Semantic analytics business Web based software |
| Zdroj: | World Patent Information. 33:328-339 |
| ISSN: | 0172-2190 |
| Popis: | Exploratory Analytics is the process of analyzing data for the purpose of forming hypotheses. Patent data sets, because they are relatively large and diverse and because they consist of a mixture of structured and unstructured information present a formidable challenge and a great opportunity in applying exploratory analytics techniques. In this paper we describe methods we have implemented for effective exploratory analytics on patent data sets using an interactive approach and a web based software tool called SIMPLE. We use real-world case studies to demonstrate the effectiveness of our exploratory analytics approach in the discovery of useful information from the patent corpus. |
| Databáze: | OpenAIRE |
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