SGPM: Static Group Pattern Mining using apriori-like sliding window

• Main Authors: GOH, John, Taniar, David, LIM, Ee Peng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2006
• Subjects: Static method; User behavior; Mobile computing; Sliding window; Localization; Database; Data type; Knowledge engineering; Data field; Information extraction; Data analysis; Data mining; Knowledge discovery; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/895; https://ink.library.smu.edu.sg/context/sis_research/article/1894/viewcontent/Goh2006_Chapter_SGPMStaticGroupPatternMiningUs.pdf
• Institution: Singapore Management University

Mobile user data mining is a field that focuses on extracting interesting pattern and knowledge out from data generated by mobile users. Group pattern is a type of mobile user data mining method. In group pattern mining, group patterns from a given user movement database is found based on spatio-tem...