KEYWORDS: Data analysis, Data mining, Optimization (mathematics), Detection and tracking algorithms, Databases, Mining, Data storage, Systems modeling, Structural design, Space operations
In order to evaluate the innovation ability of college students, big data analysis technology can be used to evaluate the innovation ability of college students. At present, most of the relevant systems for the evaluation and research of college students' innovation ability have many shortcomings such as poor accuracy and high error. In order to improve this shortcoming, this paper constructs a new college students' innovation ability evaluation system framework based on big data analysis technology. The use of big data analysis technology can analyze the changing characteristics of college students' innovative ability and obtain a highly accurate evaluation result of college students' innovative ability.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.