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移动通讯领域的快速发展产生了大量的数据,庞大规模的数据给通讯领域中关键技术的发展带来了巨大的挑战。传统的逻辑回归算法不具有处理海量数据的能力。本篇论文中,针对移动通信领域中的大规模数据,提出在云计算平台下高效准确构建逻辑回归模型的算法。通过大量的实验表明了改进的算法具有明显的高效性以及很好的可扩展性。
The rapid development in the field of mobile communications has produced a large amount of data. The large-scale data poses a huge challenge to the development of key technologies in the field of communications. Traditional logistic regression algorithms do not have the ability to process large amounts of data. In this dissertation, aiming at large-scale data in the field of mobile communication, an algorithm for efficiently and accurately constructing a logistic regression model under the cloud computing platform is proposed. Through a large number of experiments, it shows that the improved algorithm has obvious efficiency and good scalability.