Location-aware Frequent Pattern Mining from Uncertain Spatial Transaction Data

不确定空间事务数据中的位置感知频繁模式挖掘

• 批准号: DP140100545
• 负责人: Prof Chengqi Zhang
• 金额: $ 27.27万
• 依托单位: University of Technology Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2014
• 资助国家: 澳大利亚
• 起止时间: 2014-01-01 至 2017-09-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP140100545
• 关键词: Location; aware; Frequent; Pattern; Mining

Traditional transaction data mining exploits transactions without location information. Technological advances like GPS-enabled devices or radar sensors now allow the collection of transactions with spatial information. This project will address inherent data uncertainty by developing technical solutions to mine uncertain spatial transactions, and initiate a new research direction, location-aware frequent pattern mining. It will deliver theoretical foundations and technology for knowledge discovery from uncertain spatial transaction data and expand research horizons. Outcomes will provide social and economic benefits, for example, significantly improved analysis and detection of crime, weather diagnosis, and market basket analysis for business.

传统的交易数据挖掘利用的是没有位置信息的交易。像gps设备或雷达传感器这样的技术进步现在可以收集带有空间信息的交易。本项目将通过开发挖掘不确定空间交易的技术解决方案来解决固有的数据不确定性，并开创一个新的研究方向——位置感知频繁模式挖掘。它将为从不确定空间交易数据中发现知识提供理论基础和技术，拓展研究视野。结果将提供社会和经济效益，例如，显著改进犯罪分析和检测、天气诊断和商业市场购物篮分析。