Big Data Machines: Internet-Scale Machine Learning Techniques to Combat the Curse of Big Data

大数据机：对抗大数据诅咒的互联网规模机器学习技术

• 批准号: FT130100746
• 负责人: Prof Ivor Tsang
• 金额: $ 43.57万
• 依托单位: University of Technology Sydney
• 依托单位国家: 澳大利亚
• 项目类别: ARC Future Fellowships
• 财政年份: 2014
• 资助国家: 澳大利亚
• 起止时间: 2014-03-31 至 2019-05-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/FT130100746
• 关键词: Big; Data; Machines; Internet; Scale

The advent of “big data” in business, government, science, social networks, the internet, etc. creates opportunity in business and commercial domains. Big data also raises issues of increasing volume, variety, dimensionality and categories in open domain big data applications, which this project will solve by developing novel machine learning techniques, including theoretical foundations, a big data machine learning framework and open source website. The outcomes of this project will provide frontier technologies for big data analysis that will have social and economic impact in such areas as social media computing, bioinformatics and business intelligence, and enhance Australia’s global position in the pattern recognition and data mining communities.

“大数据”在商业、政府、科学、社交网络、互联网等领域的出现，为商业和商业领域创造了机会。大数据还提出了开放领域大数据应用中增加数量、种类、维度和类别的问题，该项目将通过开发新的机器学习技术来解决这些问题，包括理论基础、大数据机器学习框架和开源网站。该项目的成果将为大数据分析提供前沿技术，这些技术将在社交媒体计算、生物信息学和商业智能等领域产生社会和经济影响，并提升澳大利亚在模式识别和数据挖掘领域的全球地位。