The power of data mining and machine leaning techniques in social network modeling and analysis

数据挖掘和机器学习技术在社交网络建模和分析中的力量

• 批准号: 250508-2011
• 负责人: Alhajj(Elhajj), Reda
• 金额: $ 1.46万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2011
• 资助国家: 加拿大
• 起止时间: 2011-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=479624
• 关键词: power; data; mining; machine; leaning

This research program studies how the social network model and data mining techniques complement each other to produce a powerful framework that can successfully tackle a wide range of applications in different domains. Though, research on social networks started in anthropology and sociology in 1930s, the recent development in technology has influenced the field and rapidly increased its popularity.

这个研究项目研究社会网络模型和数据挖掘技术如何相互补充，以产生一个强大的框架，可以成功地解决不同领域的广泛应用。虽然对社会网络的研究始于20世纪30年代的人类学和社会学，但最近技术的发展影响了这一领域，并迅速增加了它的知名度。