neo4j

Neo4j is the world’s leading Graph Database. It is a high-performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.

Création d'un jeu inspiré du jeu Cluedo développé en quelques heures en VueJS et Neo4J

This repo is a mix of several data science tools. There is a mix of web-scraping of data that is then cleaned, and used to analyze the property market in malta, using prediction models, visualisations and statistical analysis.

There is also visualisations for chess data from the 1980's till 2021. Moreover, there is twitter data, which is then stored in the neo4J nosql dbms.

No data is presented in the git, only the results. Code with the data can be found at: https://drive.google.com/file/d/15EQnRtsngDsFDD_A7g4N1fwCuXI0f_Xi/view?usp=sharing

Studying the effects of music in the growth of plants through an IoT automated farming solution.

DSC1-Génie_logiciel-Projet_intégré.

Fonctionnalités:

création et sauvegarde de modélisation 3D de magasin chargement et visite de magasin avec un méta-humain création BDD néo4j pour stocker des produits (générés avec Java Faker)

MPWAR TFM backend project in Scala

API de cadastro de Clientes (CRUD). A API foi desenvolvido a partir de NodeJs utilizando o framework Express e banco de dados de grafos Neo4j. Alguns recursos básicos foram implementados como a autenticação JWT, validações e testes unitários.

Golang ORM for Neo4J

Simple CRUD with nodeJS and using neo4j as a database. Also using OGM from https://neo4j.com/docs/graphql-manual/current/ogm/installation/

A dockerised Flask Nginx Neo4j with Bootstrap. No database connections created or present and only basic templates based on bootstrap 5.0 cover example.

MASCI - Módulo de Alfresco para Sugerir Contenido de Interés

Project For Data-Management Course

The project creates a Neo4J database out of a QDox representation of a Java project (packages, classes, methods, ...)

Real-time visual analytics application for link prediction and link detection in criminal networks.

Research work accepted to the 5th International Conference on Future of Internet of Things and Cloud (FiCloud 2017).