Week: Prosojnice in dodatna gradiva / Slides and supplementary materials | IP (A) (Tools for Large Database Analysis)

Select activity Spark tutorialThis Jupyter notebook is based on th...

Spark tutorial
This Jupyter notebook is based on the lecture "CS246: Mining Massive Datasets: Crash Course in Spark" by Daniel Templeton.
Select activity Jupyter notebook: Spark Tutorial

Jupyter notebook: Spark Tutorial File IPYNB

40.0 KB
Select activity Jupyter notebook: Spark Tutorial (HTML)

Jupyter notebook: Spark Tutorial (HTML) File HTML

714.1 KB
Select activity Frequent itemsets mining and Association rules

Frequent itemsets mining and Association rules
Select activity Pogosti nabori predmetov in povezovalna pravila

Pogosti nabori predmetov in povezovalna pravila File PDF

1.1 MB
Select activity Jupyter notebook: Finding frequent itemsets with the Apriori algorithm

Jupyter notebook: Finding frequent itemsets with the Apriori algorithm File IPYNB

14.4 KB
Select activity Locality sensitive hashing

Locality sensitive hashing
Select activity Finding Similar Items: Locality Sensitive Hashing (CS246 2022)

Finding Similar Items: Locality Sensitive Hashing (CS246 2022) File PDF

2.5 MB
Select activity Theory of Locality Sensitive Hashing (CS246 2022)

Theory of Locality Sensitive Hashing (CS246 2022) File PDF

2.1 MB
Select activity Visualization of the effect of threshold, ban...

Visualization of the effect of threshold, band size, and # of rows in LSH by Trenton Chang.
Select activity Clustering

Clustering
Select activity Odkrivanje skupin

Odkrivanje skupin File PDF

2.5 MB
Select activity Odkrivanje skupin z omejitvami

Odkrivanje skupin z omejitvami File PDF

Potrebe po izboljšanju odkrivanja skupin vedno bolj zahtevajo možnost interakcije z domenskimi eksperti, kar je vodilo do razvoja algoritmov odkrivanja skupin z omejitvami (angl. constrained clustering). Ti algoritmi uporabljajo domensko znanje v obliki pozitivnih (angl. must-link) in negativnih omejitev (angl. cannot-link) na pare učnih primerov, kar omogoča izboljšanje procesa odkrivanja skupin...

1.3 MB
Select activity Dimensionality reduction

Dimensionality reduction
Select activity SVD demo

SVD demo File XLSX

15.7 KB
Select activity Eigenvalues and Eigenvectors of a Matrix by Ben Ku...

Eigenvalues and Eigenvectors of a Matrix by Ben Kuttler
Select activity Recommender systems

Recommender systems
Select activity Priporočilni sistemi

Priporočilni sistemi File PDF

1.5 MB
Select activity Link Analysis

Link Analysis
Select activity PageRank & HITS

PageRank & HITS File PDF

1.1 MB
Select activity PageRank & HITS - simulacija

PageRank & HITS - simulacija File XLSX

27.5 KB
Select activity Spark & HITS

Spark & HITS File

A template for the hubs-and-authorities algorithm - HITS (hyperlink-induced topic search).

Uploaded 22/02/24, 15:37
Select activity Graphs

Graphs
Select activity Iskanje maksimalne klike v proteinskem grafu
Iskanje maksimalne klike v proteinskem grafu File PDF
V magistrskem delu, ki je rezultiralo v objavi spodnjega članka v ugledni znanstveni reviji Mathematics, uporabimo moderne pristope strojnega učenja na grafih za pohitritev dinamičnega algoritma za iskanje maksimalne klike.
Kristjan Reba, Matej Guid, Kati Rozman, Dušanka Janežič, and Janez Konc. Exact maximum clique algorithm for different graph types using machine learning. Mathematics 10, no. 1 (2022): 97.
3.6 MB
Select activity Classification

Classification
Select activity Uvrščanje

Uvrščanje File PDF

1.7 MB
Select activity Mining data streams

Mining data streams

Testna Spletna učilnica FRI 24/25 (NE UREJAJTE VSEBINE, produkcijska Spletna učilnica FRI 24/25 bo druga instanca)

Prosojnice in dodatna gradiva / Slides and supplementary materials

Section outline