Data Mining

106603

This page collects 181 data mining questions taken from 7 BEU semester 6 papers, 2020 to 2026 — about 26 questions in a typical paper. They are sorted into the 5 modules of the syllabus, so you can revise a topic across every year at once instead of working through papers one at a time. 181 of them have a worked solution.

What these papers actually ask

Module 2: Data Mining Fundamentals and Association Rule Mining is the heaviest module in this archive at 33% of every question recorded, and it has come up in all 7 papers. Together with Module 3: Classification and Prediction, the two account for 58% of the archive.

Module 2: Data Mining Fundamentals and Association Rule Mining60 questions · 33% · 7 of 7 papers

Module 3: Classification and Prediction45 questions · 25% · 7 of 7 papers

Module 1: Data Warehousing and Business Analysis33 questions · 18% · 7 of 7 papers

Module 4: Cluster Analysis32 questions · 18% · 7 of 7 papers

Module 5: Mining Object, Spatial, Multimedia, Text and Web Data11 questions · 6.1% · 4 of 7 papers

4 modules have appeared in all 7 papers — Module 2: Data Mining Fundamentals and Association Rule Mining, Module 3: Classification and Prediction, Module 1: Data Warehousing and Business Analysis, Module 4: Cluster Analysis. A module that turns up every year is a safer use of revision time than one with the same question count concentrated in a single paper.

How the marks are split

Questions in this archive carry 9 different mark values. The most common is the 7-mark question, with 80 of them recorded — worth knowing before you decide how much depth to practise at.