Coursework 2 MN-3024 The ‘Hepatitis’ Data set (provided in arff. format is available on the Blackboard) contains information about patients affected by the Hepatitis disease. The task is to predict if these patients have or have not hepatitis (Histology: Yes or No). You should use the Weka data mining package, which is installed in the […]
CSC 480: Introduction to Data Mining Fall 2018 Assignment 2: Data Mining for Cybersecurity In this assignment, rather than using machine learning algorithms on nicely curated data sets such as those found in the UCI Repository, you will be dealing with real-world data. In particular, you will be using network traffic data generated by mobile
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Microsoft Word – CS504_hw5.doc CS504 Fall 2018 Homework 5 Due: 12/07/2018 by 11:59PM The goal of this homework is to analyze the performance of classification algorithms on several real and synthetic data sets. This will be done in the following steps: First, you will explore the data sets. Next, you will perform a series of
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CS-422 Fall 2018 Assignment 2 In this assignment you will use the Weka package and the data provided with the installation. Page limit: 10 pages. Weka Installation: http://www.cs.waikato.ac.nz/ml/weka/ Assignment Use 3 data set provided with the package in the data folder: Iris, Vote, Diabetes 1) Data Analysis 1.1 For each data set describe the number
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Due: Submission Mechanism: Submission Materials: Assessment Criteria: Introduction 5:00pm, Friday, 29 May, 2015 (but see Late Submission Policy) PDF to Turnitin; code and system outputs on the CIS servers (where appropriate) Written report in PDF, as project 1; code and system outputs as necessary Creativity, Critical Analysis, Soundness, Report Quality COMP30018/COMP90049 Knowledge Technologies, Semester 1