STAT318 — Data Mining Dr University of Canterbury, Christchurch, , University of Canterbury 2021 STAT318 — Data Mining ,1 / 28 Association Analysis Association analysis is an unsupervised learning technique that finds interesting associations in large data sets. It is often applied to large commercial data bases, where it is useful for selective marketing. If […]
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STAT318 — Data Mining Dr University of Canterbury, Christchurch, Some of the figures in this presentation are taken from “An Introduction to Statistical Learning, with applications in R” (Springer, 2013) with permission from the authors: G. James, D. Witten, T. Hastie and R. Tibshirani. , University of Canterbury 2020 STAT318 — Data Mining ,1 /
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STAT318/462 — Data Mining Dr G ́abor Erd ́elyi University of Canterbury, Christchurch, Course developed by Dr B. Robertson. Some of the figures in this presentation are taken from “An Introduction to Statistical Learning, with applications in R” (Springer, 2013) with permission from the authors: G. James, D. Witten, T. Hastie and R. Tibshirani. G.
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STAT318/462 1 STAT 318/462: Data Mining Assignment 3 Due Date: 4pm, 2nd June, 2021 Your assignment must be submitted electronically to the STAT318/462 Learn page, under Assignment 3. You may do the assignment by yourself or with one other person from the same cohort (300- level students cannot work with 400-level students). If you hand
STAT318/462 1 STAT 318/462: Data Mining Assignment 2 Due Date: 11.59pm, 26th Sep, 2021 Please submit your assignment as a single pdf on Learn. You may do the assignment by yourself or with one other person from the same cohort (300- level students cannot work with 400-level students). If you hand in a joint assignment,
STAT318/462 — Data Mining Dr G ́abor Erd ́elyi University of Canterbury, Christchurch, Course developed by Dr B. Robertson. Some of the figures in this presentation are taken from “An Introduction to Statistical Learning, with applications in R” (Springer, 2013) with permission from the authors: G. James, D. Witten, T. Hastie and R. Tibshirani. G.
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End-of-year Examinations, 2020 STAT318/STAT462-20S2 (C) Family Name First Name Student Number Venue Seat Number _____________________ _____________________ |__|__|__|__|__|__|__|__| ____________________ ________ No electronic/communication devices are permitted. No exam materials may be removed from the exam room. Mathematics and Statistics EXAMINATION End-of-year Examinations, 2020 STAT318-20S2 (C) / STAT462-20S2 (C) Data Mining Examination Duration: 120 minutes Exam Conditions: Closed
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STAT318 — Data Mining Dr University of Canterbury, Christchurch, Some of the figures in this presentation are taken from “An Introduction to Statistical Learning, with applications in R” (Springer, 2013) with permission from the authors: G. James, D. Witten, T. Hastie and R. Tibshirani. , University of Canterbury 2021 STAT318 — Data Mining ,1 /
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STAT318/462 — Data Mining Dr G ́abor Erd ́elyi University of Canterbury, Christchurch, Course developed by Dr B. Robertson. Some of the figures in this presentation are taken from “An Introduction to Statistical Learning, with applications in R” (Springer, 2013) with permission from the authors: G. James, D. Witten, T. Hastie and R. Tibshirani. G.
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Time allowed: TWO HOURS Number of Pages: 7 Read these instructions carefully. • Answer all FOUR questions • All questions carry equal marks. • Calculators are permitted. • Use black or blue ink only. • Show all working. • Write your answers in the booklet pro- vided. UNIVERSITY OF CANTERBURY END OF YEAR EXAMINATIONS Prescription
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