Data Mining
Universiteit Antwerpen (UA)
Here are the best resources to pass Data Mining. Find Data Mining study guides, notes, assignments, and much more.
Summary
Practicals Data Mining
All practicals of the data mining course fully detailed (achieved 10/10 on the practical test)
goormansamber1
Summary
Full summary of the course data mining
Popularincludes notes of lectures anno 24-25 (includes all chapters given in 2025 (full lecture notes) with a more concise summary of some chapters at the start and some extra lectures of previous year that were skipped this year; mostly indicated) as well as some exam questions and practicals 3+4 2052FBDBMW
biomed124
Summary
Data Mining - Practical Summary
Practicum notes for Data Mining at Universiteit Antwerpen covering R fundamentals and data handling. Topics include working directories, reading/writing tables from Excel and text files, data types (numeric, character, factor, logical), and data structures (vectors, matrices, data frames, lists). Essential for passing the practical part of the course.
ASprinkleOfKnowledge
Package deal
LAS and data mining Ma Biomedical Sciences
Combination of LAS and Data mining summary
Studentje2001
Package deal
Summary data mining: theory and practicals
This bundel contains a summary about the theory (7 lessons), summary of the practicals containing all Rstudio commands and extra information, a summary about the theory of the practicals and a list in table format with Rstudio commands.
WillemsenAmber
Summary
Summary practicals data mining
This is a summary of all practicals of data mining. It consists of 5 practicals with all the instructions and commands you need to add in Rstudio. There is also some extra information about why you do some certain steps.
WillemsenAmber
Summary
Summary theory data mining
This is a summary of all the theory handouts of the course data mining. It contains information present on the slides and my own notes. Lessons that are present in this summary are: introduction, data processing, univariate techniques, unsupervised clustering, data projection, linear models and processing omics. There is also a table of contents in the beginning to keep a clear overview during the open book exam.
WillemsenAmber
Summary
Summary powerpoint slides practicals data mining
This is a summary of the given powerpoint slides during the practicals. It contains information of the slides including my own notes.
WillemsenAmber
Package deal
Mandatory courses 1ema sem2
all summaries of the mandatory courses for all masters 1 year biomedical sciences at the university of Antwerp
biomed124
Package deal
2nd semester first master ITD
bundle for the second semester in the first master of infectious and tropical diseases (recent, 24-25 notes) contains all subjects except patholgy (only 5 lectures and student presentations information)
biomed124
Summary
Summary practical Data-mining: Rsudio commands
This is a summary of the commands used in the practical lessons of the course Data-mining. The commands are retrieved from the instruction documents that were given on blackboard. I made an overview of each practical (1-5 and the take-home assignment) in table format. This gives an overview of the used commands with their explanation.
WillemsenAmber
Exam (elaborations)
answers mandatory test take-home assignment
This document contains all the answers from the questions in the take-home assignment. 7 questions from the mandatory test were questions from the take-home assignment and the practical 2 notes and 2 questions were surprise questions but similar (with a different dataset). I answered all the questions and used this document, together with the document where I also answered the questions in the practical 2 notes and the R script. I used all three during the exam and got a 9/10 on the test. If you...
biomedstudent2324
Summary
FULL data mining summary
This is a full summary of the course Data mining given by Prof. Fransen, Prof. Laukens and Prof. Meysman. It includes all the topics of the theory classes. Using this together with the notes from the practical classes gave me a 16/20.
Studentje2001
Summary
Solution practical 3 to 5 - data mining
Complete solution (and assignment) of practicum 3 to 5 in English. Also a summary of the accompanying ppt. Includes codes and screenshots of the solutions in R. Everything is very quick and easy to find and clearly divided into the various practicals. This is the part that comes to the final exam.
paulienmeulemeester
Summary
samenvatting: practicum 1 + 2 (take-home assignment) - 10/10
This summary includes practicums 1 and 2 (take home-assignment). The summary has the assignments with solutions and associated codes as well as a summary of the ppt about the practicals. I achieved 10/10 using this summary during the interim open-book exam.
paulienmeulemeester
Summary
data mining summary (table form) - Advanced data analysis
This summary is very useful because it is tabular and clearly divided into chapters. There is a term on the left and an accompanying explanation on the right. It is very useful during the open book exam to find information very quickly. At the end of the document are some sample questions.
paulienmeulemeester
Summary
Samenvatting Data Mining
Comprehensive summary of slides and lesson notes. Got me a 15/20:)
emmabosteels
Summary
Data Mining 2019-2020
This summary Data Mining contains the course material for the course Data Mining, and is made in the year 2019-2020.
julievantroyen