documents my master's level thesis work on building continous, topical web crawler based on mercator 1999

LSH from zero 🦾 native Map-Reduce in PySpark 🚀

A set of methods and model evaluation metrics for predicting links in an academic citation network using Apache Spark and Scala

Fast Jaccard similarity search for abstract sets (documents, products, users, etc.) using MinHashing and Locality Sensitve Hashing

Finding Similar Pairs using PySpark

An implementation of the MinHashing algorithm in C using POSIX threads.

Word/Image/Audio Embedding models, Tokenizer models, Ngram language models, MatrixModels, Corpus building, Vocabulary Building, Language modelling

Scalable Data Mining - Assignment submissions

ETH Zurich Fall 2017

4th homework for ADM

First homework for the Advance Data Mining course

Probability Methods for Informatics Engineering | UA 2018/2019

similarity of the texts (Jaccard Similarity, Minhash, LSH)

SARS-COV-2 genome analysis using Big Data algorithms in order to find clusters of similar mutations that belongs to different clades which mutate together and generate the correspondent clade.

Homework_4 for Algorithmic Methods for Data Mining (ADM), MSc in Data Science at La Sapienza University of Rome

Implementing Locality Sensitive Hashing for DNA Sequences.

MinHash Example

Implementation of a B+ Tree for range and exact match queries and of the LSH algorithm for finding similar documents as measured by Jaccard Similarity.