• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Artificial Intelligence IC-AI'2000 Vol.3, Jun 26-29, 2000, Las Vegas, Nevada, USA >The Formation of KDD's Expanded Structure
【24h】

The Formation of KDD's Expanded Structure

机译：KDD扩展结构的形成

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The development of database technology, every-increasing needs of enterprise management for the decision-making support and the comprehensive application of AI are driving the theories and technology of data mining and knowledge discovery growing rapidly. In recent years, data mining and knowledge discovery has been paying more attention to and all kinds of algorithm and tools are blooming. Their characteristics are overlapping of subjects, fusion of several techniques, generalizing of data mining and integrating of knowledge discovery. This paper discussed the development trend of knowledge discovery based on the summary and analysis of the theory of knowledge discovery in database and the actuality of technological method, and introduced the mechanism of total data mining process, researching in expansible structure and algorithm of KDD, and serially developing of software, according to the theory of double base cooperation proposed by author.
机译：数据库技术的发展，企业管理对决策支持的日益增长的需求以及人工智能的全面应用，正推动着数据挖掘和知识发现的理论和技术的迅速发展。近年来，数据挖掘和知识发现受到越来越多的关注，各种算法和工具正在蓬勃发展。它们的特征是主题重叠，多种技术的融合，数据挖掘的概括和知识发现的整合。在总结和分析数据库知识发现理论和技术方法的现状的基础上，探讨了知识发现的发展趋势，介绍了总数据挖掘过程的机理，研究了KDD的可扩展结构和算法，根据作者提出的双基础合作理论，对软件进行串行开发。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号