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中国数据挖掘研究进展
  • 期刊名称：南京大学学报:自然科学版
  • 时间：2011
  • 页码：0-11
  • 分类：TP311.13[自动化与计算机技术—计算机软件与理论;自动化与计算机技术—计算机科学与技术]
  • 作者机构：[1]南京大学计算机软件新技术国家重点实验室,南京210093
  • 相关基金：国家自然科学基金重点项目（61035003）; 科技部国际科技合作计划项目（2010DFA11030）
  • 相关项目：基于云计算的海量数据挖掘
作者： 高阳|
关键词： 数据挖掘技术, 中国, 社会网络分析, 大规模数据, 自然科学, 生物医学, 关联规则, 数据类型
中文摘要：

数据挖掘（data mining）是一个从大规模数据中挖掘不平凡知识的专门技术,目前已经在自然科学、生物医学、经济学、社会学甚至文学研究中得到了广泛的应用.从传统任务分类的角度,数据挖掘技术可分为七类,分别是：分类,聚类,预测,关联规则,评估,可视化和复杂数据类型挖掘.但数据挖掘技术近几年得到了迅猛的发展,已经扩展到社会网络分析、推荐系统、图数据挖掘、时空数据分析、特征选择等等新的研究领域.

同期刊论文项目
基于云计算的海量数据挖掘
期刊论文 172 会议论文 96 获奖 10 专利 3 著作 7
同项目期刊论文
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