A conversation with Professor Bole Shi

Baile Shi
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Abstract

Looking back in the past, we note that in the past 20 years, data mining has been a popular topic in academic research, but in industrial applications, we have heard few exciting examples after the "beer and diapers" one. This is in part due to the general pattern of technological advances, in which the advance of academic research is ahead of industrial applications. On the other hand, we cannot ignore the fact that in this past 20 years, in the world, especially in China, data processing and analytics have focused more on data accumulation and integration phase, but the need for wide-spread data mining has yet to come. Currently, after so many years of accumulation and preparation, whether in China or in the world, the scale and complexity of available data has far exceeded our expectations, and further development of data mining will finally take the central stage of research and development. In this view, we expect to see more advance in data mining in terms of its ability to handle greater data types, larger scales, diverse business needs, application varieties and crossdisciplinary integration.
与史伯乐教授的对话
回顾过去,我们注意到,在过去的20年里,数据挖掘一直是学术研究中的热门话题,但在工业应用中,我们在“啤酒和尿布”之后很少听到令人兴奋的例子。这在一定程度上是由于技术进步的一般模式,其中学术研究的进展领先于工业应用。另一方面,我们不能忽视的一个事实是,在过去的20年里,在世界范围内,特别是在中国,数据处理和分析更多地集中在数据的积累和整合阶段,但对大范围数据挖掘的需求尚未到来。目前,经过这么多年的积累和准备,无论是在中国还是在世界范围内,可用数据的规模和复杂性都远远超出了我们的预期,数据挖掘的进一步发展最终将占据研发的中心位置。从这个角度来看,我们期望看到数据挖掘在处理更大的数据类型、更大的规模、不同的业务需求、应用程序种类和跨学科集成方面的能力取得更大的进步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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