高校学生信息自动提取与分析系统研究

摘要

Digital campus construction to the third stage, started system integration and large-scale data sharing. Through the mutual sharing of data platform, data extraction and clean-up technologies, particularly get the information we need, but also enables us to understand and evaluate students more comprehensive and objective in the university campus life, learning situation. This paper is based on ODI technology, MapReduce technology and data warehouse technology as the foundation, proposed and constructed a university student in school, life information automatic extraction and analysis system model, for the university informatization environment more intelligent management students provides a feasible technical scheme.%高校数字化校园建设到第三阶段，开始了大规模的系统整合以及数据共享。通过互通共享的数据平台，利用数据抽取和清理技术，有所侧重的获取我们需要的信息，也使我们能够更全面更客观的了解和评价学生在大学校园内的生活、学习情况。本文就此以ODI技术、MapReduce技术以及数据仓库技术为基础，提出并构筑了一套高校学生在校学习、生活信息自动提取与分析系统模型，为信息化大环境下高校更加智慧的管理学生提供了一种可行的技术方案。