与李德毅、唐杰教授对话

Deyi Li, Jie Tang
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引用次数: 0

摘要

粗略地说,中国的KDD研究主要经历了三个阶段。1993年,中国国家科学基金委员会(NSFC)开始资助知识发现和数据挖掘研究。这可以看作是第一阶段。当时的主要研究集中在“从数据库中发现知识”,包括从数据库中频繁挖掘和关联规则挖掘等子主题。研究主要是在学术机构进行的。第二阶段始于20世纪90年代末,随着基于web的应用程序的出现和迅速扩散。人们开始注意到,挖掘的最大数据源是Web上的信息,而不是传统的数据库。与此同时,采矿任务变得更加多样化。在第二阶段,术语“Web Mining”开始在该领域流行起来。各研究所相继建立了“知识工程”、“网络/互联网挖掘”等研究实验室,发展迅速。一些网络搜索公司也出现在这个阶段,如百度和搜狗。第三阶段开始于2005年左右,网络社交应用和媒体(如中国的腾讯、新浪微博、人人)成为影响我们日常生活的一股普遍而复杂的力量。事实上,中国最大的社交网络腾讯已经拥有超过7亿注册用户,与Facebook的注册用户数量相当;新浪微博在过去两年中吸引了2.5亿用户,这一数字高于推特。这些在线网络发展非常迅速,它们提供了大量用户生成的内容,这为理解这些网络的科学提供了巨大的机会。因此,研究的重点开始转向挖掘社交网络。这是一个更加多样化的研究领域,吸引了来自广泛学术领域的研究人员,包括理论和算法、数据挖掘和机器学习、计算机系统和网络、统计物理和复杂系统、社会心理学、经济学和管理科学。这一阶段的另一个重要变化是,中国企业越来越重视数据挖掘研究。不仅中国的互联网公司(如腾讯、百度、搜狗、有道等),通信/硬件IT公司(如中国移动、华为、中兴、联想)也开始建立数据挖掘研究实验室。毫无疑问,目前是中国数据挖掘的最佳时机。
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 Professors Deyi Li and Jie Tang
Roughly speaking, Chinese KDD research mainly underwent three stages. It was in 1993 when National Science Foundation of China (NSFC) started to sponsor research on knowledge discovery and data mining. This can be considered as the first stage. The major research around that time was focused on “Knowledge Discovery from Database”, including sub-topics such as frequent mining and association rule mining from databases. The research was mainly conducted in academic institutes. The second stage started from the end of 1990’s, with the emergence and the rapid proliferation of Web-based applications. People started to notice that the largest data source for mining is the information on the Web instead of traditional databases. At the same time the mining tasks became more diversified. In the second stage, the term “Web Mining” became popular in the field. Research labs on “knowledge engineering”, “web/internet mining” have been built in different research institutes and rapidly developed. Several web search companies also emerged in this stage such as Baidu and Sogou. The third stage began around 2005, when online social applications and media (such as, in China, Tencent, Sina Weibo, Renren) become a prevalent and complex force to influence our daily life. Indeed, Tencent, the largest social network in China, already has more than 700 million registered users, the same number of Facebook; Sina Weibo has attracted 250 million users in the past two years, a figure higher than Twitter. These online networks grow very fast and they provide a huge amount of user generated content, which presents great opportunities in understanding the science of these networks. Accordingly, the emphasis of the research started to switch to mining social networks. This is a more diverse research field, attracting researchers from a wide range of academic fields, including theory and algorithms, data mining and machine learning, computer systems and networks, statistical physics and complex systems, social psychology, economics and managerial science. Another important change in this stage is that Chinese companies are paying more and more attention to data mining research. Not only Chinese Internet companies (e.g., Tencent, Baidu, Sogou, Youdao, etc.) but also communication/hardware IT companies (e.g., China Mobile, Huawei, ZTE, Lenovo) started to build data mining research labs. There is little doubt that for now it is the best time for data mining in China.
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