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

Select activity Spark tutorial

1 - 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

43.8 KB
Select activity Frequent itemsets and Association rules

2 - Frequent itemsets 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 PCY Example

PCY Example File PDF

This document provides a clear, step-by-step explanation of the PCY algorithm, demonstrating its ability to prune candidate pairs by using a compact dataset and a simple hash function.
Select activity Locality sensitive hashing

3 - Locality sensitive hashing
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

4 - Clustering
Select activity Odkrivanje skupin

Odkrivanje skupin File PDF
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...
Select activity Dimensionality reduction

5 - Dimensionality reduction
Select activity SVD demo

SVD demo File XLSX
Select activity CS 246 – Review of Linear Algebra

CS 246 – Review of Linear Algebra File PDF
Select activity Eigenvalues and Eigenvectors of a Matrix by Ben Ku...

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

6 - Recommender systems
Select activity Priporočilni sistemi

Priporočilni sistemi File PDF
Select activity Link Analysis

7 - Link Analysis
Select activity PageRank & HITS

PageRank & HITS File PDF
Select activity PageRank & HITS - simulacija

PageRank & HITS - simulacija File XLSX
Select activity Spark & HITS

Spark & HITS File HTML

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

8 - 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.
Select activity Graph Representation Learning Book

Graph Representation Learning Book URL

avtor William L. Hamilton, McGill University
Select activity CS224W: Machine Learning with Graphs

CS224W: Machine Learning with Graphs URL

Videoposnetki pri predmetu CS224W: Machine Learning with Graphs na Stanford University, ki ga vodi in poučuje prof. Jure Leskovec.
Select activity Classification

9 - Classification
Select activity Uvrščanje

Uvrščanje File PDF

Section outline