IFN645 Large Scale Data Mining

[object Object] {"attributes":{"DGCIF":"Available for cross institutional students - faculty approval required","DGNAC":"Available for Single Unit students (PG) - faculty approval required","DGSAC":"Study Abroad / Exchange (PG) - faculty approval required"},"study-types":["Cross-institutional study"],"availabilities":[{"study-mode":"All","attendance-mode":"Internal","location":"Gardens Point","campus":"Gardens Point","study-period":"Semester 2","date-end":"2022-11-18T14:00Z","date-start":"2022-07-24T14:00Z","year":2022}],"broad-study-area":{"name":"Science","foe":20199},"code":"IFN645","credit-points":12,"fees":[{"csp":"$1,002","dom":"$3,204","int":"$4,332","year":2022}],"faculty":{"code":460100,"title-short":"Science","title-full":"Faculty of Science"},"school-discipline":{"code":460600,"title-short":"Computer Science","title-full":"School of Computer Science"},"unit-requisites":{"equiv":"INN342","pre":"IFN509 or \nIFQ509"},"sams-version":3,"summer":[],"synopsis":"The data that modern data scientists have access to is larger and more complex than in previous generations. Dealing with these data requires specialised algorithms and the use of a higher performance or cloud computing environment. This unit outlines the challenges and opportunities associated with big data and introduces data mining algorithms that scale to large datasets. This unit will expand on the material presented in earlier data mining units and students will use their programming knowledge to implement data mining algorithms in high-performance computing environments.","title-full":"IFN645 Large Scale Data Mining","title-short":"Large Scale Data Mining","url":{"current":"https://qutvirtual4.qut.edu.au/group/student/enrolment/units/unit?unitCode=IFN645&year=2022","prospective":"https://www.qut.edu.au/study/unit?unitCode=IFN645","timetable":"https://qutvirtual3.qut.edu.au/qvpublic/ttab_unit_search_p.process_teach_period_search?p_unit_cd=IFN645"},"year":2022,"years":[2022]}