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Discovering Activity Patterns Driven by High Impacts in Heterogeneous and Imbalanced Data

Discovering Activity Patterns Driven by High Impacts in Heterogeneous and Imbalanced Data
发现异构和不平衡数据的高影响驱动的活动模式
批准号:
DP0988016
负责人:
Prof Longbing Cao
金额:
$22.73万
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2009
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2009-02-05 至 2011-12-31

项目摘要

项目成果

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中文摘要
翻译
识别高影响活动对于发现和预防其发生以及减少对我们社会造成的风险和损失非常重要。该项目将提供尖端技术,用于有效提取由高业务影响驱动的活动模式。它可以通过提供前沿技术和智能预防和干预能力来保护澳大利亚,并建立和改造澳大利亚的产业,以加强金融合规,国家安全和减少犯罪等关键行业。由此产生的活动挖掘系统、经过培训的研究人员和高质量的出版物将进一步加强澳大利亚在应对关键数据挖掘挑战和应用方面的全球领导作用。
英文摘要
The identification of high impact activities is important for detecting and preventing their occurrences and reducing resulting risks and losses to our society. This project will deliver cutting-edge techniques for effectively extracting activity patterns driven by high business impacts. It can safeguard Australia and build and transform Australian industries by delivering frontier techniques and smart prevention and intervention capabilities to enhance key industries such as finance compliance, national security and crime reduction. The resulting activity mining system, researchers trained and high quality publications will further enhance Australia's global leading role in tackling critical data mining challenges and applications.
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