Abstract
In China, universities are important centers for SR (scientific research) and innovation, and the quality of SR management has a significant impact on university innovation. The informatization of SR management is a critical component of university development in the big data environment. As a result, it is crucial to figure out how to improve SR management. As a result, this paper builds a four-tier B/W/D/C (Browser/Web/Database/Client) university SR management innovation information system based on big data technology and thoroughly examines the system’s hardware and software configuration. The SVM-WNB (Support Vector Machine-Weighted NB) classification algorithm is proposed, and the improved algorithm runs in parallel on the Hadoop cloud computing platform, allowing the algorithm to process large amounts of data efficiently. The optimization strategy proposed in this paper can effectively optimize the execution of scientific big data applications according to a large number of simulation experiments and real-world multidata center environment experiments.
Highlights
With unprecedented power, information technology is promoting the continuous change of thinking mode and behavioral habits recognized in human daily production and life [1]
Big data technology finds out the relevance of data and extracts valuable information through the correlation analysis of data resources such as SR management system, financial system, personnel system, large-scale scientific literature database, and patent database based on the Internet, which can provide an extensive and scientific theoretical basis for traditional expert qualitative decision management [2, 3]
Since university informatization is implemented at the end of the last century, many universities have established and operated various database systems
Summary
Information technology is promoting the continuous change of thinking mode and behavioral habits recognized in human daily production and life [1]. Big data technology finds out the relevance of data and extracts valuable information through the correlation analysis of data resources such as SR (scientific research) management system, financial system, personnel system, large-scale scientific literature database, and patent database based on the Internet, which can provide an extensive and scientific theoretical basis for traditional expert qualitative decision management [2, 3]. Because most of this knowledge comes directly from inside the database, it is less restricted and influenced by external resources, has relative independence, and has great guiding significance for SR decisions. With the increasing dependence of SR decisionmaking system on various data, it is very urgent to actively apply big data technology in university SR management informatization; more attention should be paid
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