大数据视阈下计算机科学挖掘技术的应用

Application of Computer Science Mining Technology from the Perspective of Big Data

在信息量迅速膨胀的时代,数据成了最宝贵的资源之一。大数据带来的挑战在于如何从庞大且复杂的数据集中提取有价值的信息。在计算机科学领域,数据挖掘技术为解决这一问题提供了可能性。数据挖掘结合了统计学理论、机器学习、模式识别、人工智能等,致力于从原始数据中发现模式和结构,以便作出预测和决策支持。文中探讨了在大数据背景下,计算机科学如何借助创新的数据挖掘技术来处理数据,并在此基础上打造智能的决策系统。

In an age era of rapidly expanding information,data has become one of the most valuable resources.The challenge of big data is how to extract valuable information from large and complex data sets.In the field of computer science,data mining technology provides the possibility to solve this problem.Data mining combines statistical theory,machine learning,pattern recognition,artificial intelligence,and more to discover patterns and structures from raw data in order to make predictions and decision support.This article will explore how,in the context of big data,computer science uses innovative data mining techniques to process data and build intelligent decision systems on this basis.