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academic-knowledge-analytics-visualization

Various examples to perform big data analytics over Microsoft Academic Graph and visualize the results.

adventuregame

This project of a simple adventure game was created by 4 college students of information systems during their first semestere. The game was developed in c# with simple algorithms and object structures.

covid_19_forecast

crm-microservice

This project arose in a small project team at university to design and develop “Thin Server Architectures” especially by using RESTful Web Services as an modern web architecture.

data-mining-cup-2019

explorekit

ipsys

microsoft-academic-graph-pyspark-samples

Sample PySpark code for interacting with the Microsoft Academic Graph

restservercompany

The aim of this Spring MVC project is to try out different techniques to learn by examples. For example, the usages of modern template engines like Tymeleaf to display HTML correctly in browsers. Especially in combination with ZeroMQ by coding ZeroMQ-scripts in Python to deliver simple message queues. ZeroMQ-scripts still need to be implemented to subscribe. Dummy objects are provided in the meantime.

sea_route_calc

This sea route calculator computes the fastest water route given the LAT/LONG of a given position, to a given LAT/LONG destinination.

vorto

Vorto Project

vorto-website

Vorto provides an Eclipse Toolset that allows Device Manufacturers to easily describe device functionality and characteristics as Information Models.

walmart-sales-forecasting

How much camping gear will individual Walmart stores sell each month in a year? To the uninitiated, calculating sales at this level may seem as difficult as predicting the weather. Both types of forecasting rely on science and historical data. While a wrong weather forecast may result in carrying around an umbrella on a sunny day, inaccurate business forecasts could result in actual or opportunity losses. In this competition, in addition to traditional financial forecasting methods, we challenged to use machine learning to improve forecast accuracy.