郑之开, 张广凡, 邵惠鹤. 数据采掘与知识发现:回顾和展望[J]. 信息与控制, 1999, 28(5): 357-365.
引用本文: 郑之开, 张广凡, 邵惠鹤. 数据采掘与知识发现:回顾和展望[J]. 信息与控制, 1999, 28(5): 357-365.
ZHENG Zhi-kai, ZHANG Guang-fan, SHAO Hui-he. DATA MINING AND KNOWLEDGE DISCOVERY: AN OVERVIEW AND PROSPECT[J]. INFORMATION AND CONTROL, 1999, 28(5): 357-365.
Citation: ZHENG Zhi-kai, ZHANG Guang-fan, SHAO Hui-he. DATA MINING AND KNOWLEDGE DISCOVERY: AN OVERVIEW AND PROSPECT[J]. INFORMATION AND CONTROL, 1999, 28(5): 357-365.

数据采掘与知识发现:回顾和展望

DATA MINING AND KNOWLEDGE DISCOVERY: AN OVERVIEW AND PROSPECT

  • 摘要: 如何从大规模数据库中发掘深层次的知识和信息,而不仅仅是那些从传统数据库查询方法所获得的平凡内容,这方面的研究正受到越来越多的关注.作为一门独立于应用的研究课题,它已成为众多研究领域的热点内容,已经有相当多的应用报道并取得了丰硕的成果.本文试就数据采掘和知识发现的各方面内容:如采掘过程、方法、算法和应用等,作一个完整的回顾,文章也讨论了这一领域未来的工作和挑战.

     

    Abstract: Discovery knowledge and useful information form large scale databases has been recognized by more and more researchers as a key research topic in many different fields. This paper is to provide a survey of data mining and knowledge discovery on several issues, such as the process, methods, algorithms and applications. Future research work and challenges are also discussed.

     

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