Thomas Uhrig
Thomas Uhrig
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Data-Mining

There are 13 posts tagged Data-Mining (this is page 1 of 2).

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Saga pattern with Spring Boot and ActiveMQ

During the last days, I dug a little bit into the Saga pattern. The Saga pattern is an architectural pattern which provides an alternative approach to big and long running ACID transactions. It takes a business process and breaks it up into small isolated steps – each of them with its own transaction. The overall […]

in Coding | November 15, 2017 | 1,289 Words | 7 Comments

Install OpinionTrends with nginx and memcached

OpinionTrends is build with Python and Flask. Therefore you can run it without any additional server right out of the box. Batteries included! However, it is much more common and much more efficient if you run it with a web server and an application server. A widely used combination for Python web applications is nginx […]

in Academic, Coding | January 22, 2014 | 1,185 Words | Comment

Media Night Apps

This year there is something new on the Media Night, the student fair at our university. The booklet is dead! In its past, the Media Night had had a printed booklet with its program and time table in it. The booklet was produced by one of our printing faculties for which the HdM is pretty […]

in Academic, Coding, Private Life | January 16, 2014 | 175 Words | Comment

Opinion Mining on Hackernews and Reddit

TechTrends Last semester two of my friends and I made some sort of a search engine for Hackernews and Reddit. The idea was to collect all articles published on those two platforms and search them for trends. It should be possible to type-in a certain keyword such as “Bitcoin” and retrieve a trend chart showing […]

in Academic, Coding | January 12, 2014 | 1,101 Words | Comment

Media Night Winter Semester 2013/2014

During the last summer semester, two friends of mine and I made a student project called TechTrends. TechTrends was a web application that let you search for articles and trends in the field of computer science. Based on posts from Reddit and Hackernews, it provided an intelligent search on a growing number of articles and […]

in Academic, Coding | January 8, 2014 | 228 Words | 1 Webmention | Comment

TechTrends – Searching trends on HN and Reddit

It’s done! Last Friday (26th July 2013) was the final presentation of our semester project TechTrends. Together with Raphael Brand and Hannes Pernpeintner I worked the last 5 months on this project – and we are really happy about it. What is TechTrends? TechTrends is basically a search-engine for HN and Reddit (just the programming […]

in Academic, Coding | August 5, 2013 | 522 Words | Comment

TechTrends Final Presentation

Tomorrow morning is the final presentation of our semester project TechTrends. I posted several articles about TechTrends (see here) and I will definetely post one more after tomorrow. But for now, here’s our final presentation. The presentation shows how we built TechTrends and covers different aspects of the development process. It talks about crawling Hackernews […]

in Academic, Coding | July 25, 2013 | 108 Words | Comment

TechTrends Presentation

Next Friday (July 26th 2013) the final presentation of TechTrends will take place at our university. The presentation will take about 60 min and will cover topics like architecture, crawling, data storage and front end design. Everybody interested is welcome (please send me an email before). Here’s the whole schedule for next week: 09.00h-10.10h Tech […]

in Academic, Coding | July 16, 2013 | 123 Words | Comment

TechTrends at the Media Night 2013 of the Media University Stuttgart

During this summer semester, two friends of mine and I made a student project called TechTrends. TechTrends is a web application that lets you search for articles and trends in the field of computer science. We crawl posts from Reddit and Hackernews and provide an intelligent search on them. You can type in a key-word […]

in Academic, Coding | June 19, 2013 | 185 Words | Comment

Extracting meaningful content from raw HTML

Parsing HTML is easy. Libraries like Beautiful Soup give you an compact and straight forward interface to process websites in your preferred programming language. But this is only the first step. The interesting question is: How to extract the meaningful content of HTML? I tried to find a answer to this questions during the last […]

in Academic, Coding | May 7, 2013 | 809 Words | 1 Comment

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