Data Mining (2052FBDBMW)
Universiteit Antwerpen (UA)
Voici les meilleures ressources pour passer Data Mining (2052FBDBMW). Trouvez guides d'étude pour Data Mining (2052FBDBMW), notes, devoirs et bien plus encore.
Resume
Practicals Data Mining
All practicals of the data mining course fully detailed (achieved 10/10 on the practical test)
goormansamber1
Resume
Full summary of the course data mining
Très appréciéincludes 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
Resume
Data Mining - Samenvatting Practicum
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
Pack
LAS and data mining Ma Biomedical Sciences
Combination of LAS and Data mining summary
Studentje2001
Resume
Data Mining | Rode draad & samenvatting| UA |
Dit document bevat de rode draad en beknopte, overzichtelijke samenvatting voor Data Mining aan de Universiteit Antwerpen. Het document bevat de rode draad, samenvatting, wanneer & waarom we bepaalde technieken toepassen,.... Het is een handig document om rap dingen in op te zoeken/ terug te vinden tijdens het open boek examen en om de kernconcepten van de cursus goed te begrijpen.
JASSY20
Pack
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
Resume
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
Resume
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
Resume
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
Pack
Mandatory courses 1ema sem2
all summaries of the mandatory courses for all masters 1 year biomedical sciences at the university of Antwerp
biomed124
Pack
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
Resume
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
Examen
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
Resume
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
Resume
Oplossing practicum 3 tot 5 - data mining
Complete oplossing (en opgave) van practicum 3 tot 5 in het engels. Ook samenvatting van de bijhorende ppt. Bevat codes en screenshots van de oplossingen in R. Alles is heel snel en makkelijk vindbaar en duidelijk onderverdeeld in de verschillende practica. Dit is het deel dat op het eindexamen komt.
paulienmeulemeester
Resume
samenvatting: practicum 1 + 2 (take-home assignment) - 10/10
Deze samenvatting omvat practicum 1 en 2 (take home-assignment). De samenvatting heeft de opdrachten met oplossingen en bijhorende codes alsook samenvatting van de ppt over de practica. Ik heb 10/10 gehaal door gebruik te maken van deze samenvatting tijdens het tussentijdse open-boek examen.
paulienmeulemeester
Resume
samenvatting data mining (tabel vorm) - Advanced data analysis
Deze samenvatting is heel handig omdat het in tabel vorm is en duidelijk onderverdeeld in hoofdstukken. Links staat een term en rechts bijhorende uitleg. Is zeer handig tijdens het open-boek examen om heel snel info te vinden. Op het einde van het document staan enkele voorbeeld vragen.
paulienmeulemeester
Resume
Samenvatting Data Mining
Uitgebreide samenvatting van de slides en lesnotities. Leverde mij een 15/20 op :)
emmabosteels
Resume
Samenvatting Data Mining 2019-2020
Deze samenvatting Data Mining is gemaakt in jaar 2019-2020, en is een samenvatting van de slides aanvullend met extra notities en alsook de belangrijke inhoud uit het boek.
julievantroyen