应用驱动的大数据挖掘

Application-Driven Big Data Mining

认为大数据挖掘的核心和本质是应用、数据、算法和平台4个要素的紧密结合。从大数据的特点出发,结合大数据挖掘的案例,提出大数据挖掘中的平台架构、数据获取和预处理、算法的选择和集成都是应用驱动的。强调大数据挖掘的目标来自实际应用的真实需求,只有结合具体应用数据和适合应用的算法,利用高效处理平台的支撑,并将挖掘到的模式或知识应用在实践中,才能体现大数据挖掘的真正价值。

The core of big data analysis is the combination of applications, data,algorithms and platforms. Big data mining platforms, algorithms, and big data itself are driven by applications. Big data mining tasks come from real applications. With specific application data and appropriate algorithms, using efficient processing platform, digging into the patterns or knowledge in practice, big data mining platform can show its true value.