CITS1401 Computational Thinking with Python Project 2 Semester 2 2020 Page 1 of 11 Project 2: How Good (Positive and Patriotic) is Australia? Value: 20% of CITS1401 To be completed individually. You should construct a Python 3 program containing your solution to the following problem and submit your program electronically on Moodle. No other method […]
cs9318_exam.dvi Name: , (Family name) (Given name) Student ID: THE UNIVERSITY OF NEW SOUTH WALES Final Exam COMP9318 Data Warehousing and Data Mining SESSION 1, 2008 • Time allowed: 10 minutes reading time + 3 hours • Total number of questions: 7 + 1 • Total number of marks: 100 + 5 (Bonus) • Only
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Name: , (Family name) (Given name) Student ID: THE UNIVERSITY OF NEW SOUTH WALES Final Exam MOCK EXAM COMP9318 Data Warehousing and Data Mining TERM T1, 2021 • Time allowed: 10 minutes reading time + 2 hours + 20 minutes submitting time – Exception: students with extra exam time approved by Equitable Learning Services (ELS)
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Classification & Prediction: Rule learning Skip to main content Print book Classification & Prediction: Rule learning Site: Wattle Course: COMP3425/COMP8410 – Data Mining – Sem 1 2021 Book: Classification & Prediction: Rule learning Printed by: Zizuo Xiao Date: Saturday, 8 May 2021, 11:05 PM Table of contents 1. Introduction 2. Rule-Based Classification (Text: 8.4) 3.
Introduction to Data Warehousing Skip to main content Print book Introduction to Data Warehousing Site: Wattle Course: COMP3425/COMP8410 – Data Mining – Sem 1 2021 Book: Introduction to Data Warehousing Printed by: Zizuo Xiao Date: Saturday, 8 May 2021, 11:02 PM Table of contents 1. Introduction 2. Basic concepts (Text: 4.1) 3. Multi-dimensional Data Cubes
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Classification & Prediction: Bayes Classifiers Skip to main content Print book Classification & Prediction: Bayes Classifiers Site: Wattle Course: COMP3425/COMP8410 – Data Mining – Sem 1 2021 Book: Classification & Prediction: Bayes Classifiers Printed by: Zizuo Xiao Date: Saturday, 8 May 2021, 11:05 PM Description Naive Bayes and Bayesian Belief Networks Table of contents 1.
Analysing Data in Warehouses Skip to main content Print book Analysing Data in Warehouses Site: Wattle Course: COMP3425/COMP8410 – Data Mining – Sem 1 2021 Book: Analysing Data in Warehouses Printed by: Zizuo Xiao Date: Saturday, 8 May 2021, 11:03 PM Table of contents 1. Introduction 2. Data Mining in Data Warehouses (Text:4.3) 3. Typical
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Association Mining Skip to main content Print book Association Mining Site: Wattle Course: COMP3425/COMP8410 – Data Mining – Sem 1 2021 Book: Association Mining Printed by: Zizuo Xiao Date: Saturday, 8 May 2021, 11:04 PM Table of contents 1. Introduction 2. Motivation (Text: 6.1) 3. Association Mining: Basic Concepts (Text:6.1) 4. Association Mining: which patterns
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Introduction to Data Mining Skip to main content Print book Introduction to Data Mining Site: Wattle Course: COMP3425/COMP8410 – Data Mining – Sem 1 2021 Book: Introduction to Data Mining Printed by: Zizuo Xiao Date: Saturday, 8 May 2021, 11:00 PM Description Foundational and Introductory topics Table of contents 1. Introduction (Text:1) 1.1. Why Data
Foundation Concepts for Data Mining Skip to main content Print book Foundation Concepts for Data Mining Site: Wattle Course: COMP3425/COMP8410 – Data Mining – Sem 1 2021 Book: Foundation Concepts for Data Mining Printed by: Zizuo Xiao Date: Saturday, 8 May 2021, 11:02 PM Table of contents 1. Introduction 2. Data Types and Representations (Text