Students are reminded that notes provided on this site are intended to form summary material only and are not intended to be a substitute for attending lectures or further reading on the subject.

My slides are not Lecture Notes

Students should download the notes to your own device. The notes are a living artifact and will evolve from semester to semester. It cannot be guaranteed that the notes will be available after the end of a semester.

Important: You will need to perform additional reading and research (outside of class time) to complete the various lab exercises and to explore the topics covered in more detail.

*** Module Introduction & Admin – Notes

Week of/begin
 Lecture Topic
17th Sept
 Introduction to Data Mining, Machine Learning and Data Science
24th Sept
 Data Mining / Data Science Life-cycle, Why it is different and the challenges
1st Oct
 Descriptive Analytics and Preparing Data
8th Oct
 Exploring Text & Basics of Text Mining
15th Oct
 Association Rule Analysis

DT228A students.  There will be an online Q&A session on Friday 13:00-13:40.

I will be using Zoom for this online session. Check out this software and have installed in advance of the session.

Join from PC, Mac, Linux, iOS or Android:

22nd Oct
No Class this week. Catch up week

Self study, revision, complete all exercises, etc

29th Oct
5th Nov

 Assignment Handout

12th Nov
 Finish Classification – see previous weeks notes

Data Clustering

19th Nov
 The EU GDPR and Machine Learning/Data Science
26th Nov
Deployment issues
   Data Visualisation
Ensemble Models
Automated & Autonomous Data Science
Other Data Mining/Data Science Project topics
3rd Dec
Assignment Due at end of this week.

No Class – Use the class and lab time to work on completing your assignment. You can work from home

I will endeavor to have assignment marks and a short feedback comment entered into WebCourses before Christmas.

If you would like to schedule a face-to-face feedback session in early January, email me.

10th Dec
Study & Revision
No Class
Assignment marking and feedback (by end of this week or end of next week)

Drop-in Assignment Clinic
Monday 10th December 18:30-20:00
Room : KA-1-015

. Assignment feedback sessions. Monday 7th January 11:00-12:30

Locked Diagrams in SAS Enterprise Miner

*** The following is from SAS

In regards to the locked diagram, the fastest way to delete the lock typically is to log into SAS OnDemand for Academics Control Center. When a diagram is opened for editing, a lock file is put in place to indicate the diagram is being used. Sometimes, the lock file will remain even when the user is finished editing the diagram. As a result, the user will get an error in a pop-up window stating that “this diagram is currently locked”. To correct this problem, you should close the diagram if it is open. Then open SAS Studio from the SAS OnDemand for Academics Control Center. Open the “Server Files and Folders” tab. The lock file will generally be in this path:

 /home/(user name)/(project name)/Workspaces/EMWS1 (or similar)/System

 ****The “.lck” file I deleted was found at the following filepath in your Enterprise Miner project files in SAS Studio: /home/basquinsophonie0/Exam1/Workspaces/EMWS1/System

 If your diagram locks up on you again, you can head to that file location and delete the “.lck” file, which should allow you to open the diagram.****

 The lock file will have a name like “wsopen.lck”. (The lock file always has the extension “.lck”. )

 You can remove this file to enable editing of the diagram.

Past Exam Papers

Data Mining 2017-2018

Data Mining 2016-2017

Data Mining 2015-2016