与张博教授的对话

Bo Zhang
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引用次数: 0

摘要

在1989年的第11届国际人工智能联合会议(IJCAI ' 89)上,Piatetsky-Shapiro及其同事主持了一个关于数据库中知识发现的研讨会,这标志着数据挖掘领域的成熟。不久之后,在1993年,数据挖掘研究正式开始,首先得到了中国国家自然科学基金的支持。这被视为中国数据挖掘研究的开端。因此,由于时间差距只有4年,中国是数据挖掘研究的先驱之一。此后,在清华大学、北京大学、中国科学院计算技术研究所、南京大学等多所研究机构和大学开展了基础研究和实际应用的重大研究活动。在这些机构中,数据挖掘的应用涵盖了广泛的领域,包括金融、商业、交通、医药、能源等。然而,在21世纪之前,由于数据的缺乏,中国的KDD研究在理论深度和应用类型上仍然有限。这段时间可以看作是一个热身期,中国研究者正在学习和追随国际上主要的KDD研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A conversation with Professor Bo Zhang
In the 11 international joint conference on artificial intelligence (IJCAI’89), in 1989, Piatetsky-Shapiro and colleagues led a seminar on knowledge discovery in databases, which signaled the coming of age for the field of data mining. Soon after, in 1993, data mining research officially begun by first being supported by the National Natural Science Foundation of China (NSFC). This was viewed as the beginning of data mining research in China. Thus, China was among the pioneers in data mining research given that the time gap was only 4 years. Afterwards, major research activities on both fundamental research and practical applications can be found in many research institutions and universities, including Tsinghua University, Peking University, Institute of Computing Technology in Chinese Academy of Science, Nanjing University, and many others. In these institutions, applications of data mining cover a broad range of areas including finance, business, transportation, medicine, energy, etc. However, before the 21 century, due to the shortage of data, China’s KDD research was still limited in terms of theoretical depth and types of applications. This period can be considered a warm-up period, in which Chinese researchers were learning and following international major KDD research directions.
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