https://github.com/0snap/seminar-kontext-adaptierte-systeme
Repo for "Seminar Mobile kontextadaptive Dienste und Systeme" Uni Hamburg 2016
https://github.com/0snap/seminar-kontext-adaptierte-systeme
Last synced: 27 days ago
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Repo for "Seminar Mobile kontextadaptive Dienste und Systeme" Uni Hamburg 2016
- Host: GitHub
- URL: https://github.com/0snap/seminar-kontext-adaptierte-systeme
- Owner: 0snap
- Created: 2016-12-05T22:14:24.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-02-05T19:37:46.000Z (about 8 years ago)
- Last Synced: 2025-02-06T12:15:51.133Z (3 months ago)
- Language: TeX
- Size: 547 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
## Seminar
Repo is for my presentation slides + text
**Note**: Theme (University exclusive) is not included, so the latex build will fail if you do not change the theme. Furthermore, the images for UHH and VSIS logo are not included.
The paper is (mostly) built with [this](https://vsis-www.informatik.uni-hamburg.de/vsis/teaching/templates) from UHH VSIS template for course papers.
#### Graphics:
All the following images are not included in the github-upstream, but you can find the sources to the images below:
`slides/img/CRISP-DM_Process_Diagram.png`
[Source](https://commons.wikimedia.org/wiki/File%3ACRISP-DM_Process_Diagram.png)
By Kenneth Jensen (Own work) [CC BY-SA 3.0](http://creativecommons.org/licenses/by-sa/3.0), via Wikimedia Commons
`slides/img/KDD-DM_Process_Diagram.png`
Source is the article "From data mining to knowledge discovery in databases" of 1996 by Fayyad, Usama and Piatetsky-Shapiro, Gregory and Smyth, Padhraic.
`slides/img/kmeans.png`
Please find the graphic [here](https://i.ytimg.com/vi/_aWzGGNrcic/hqdefault.jpg), the respective video [here](https://www.youtube.com/watch?v=_aWzGGNrcic) and the homepage of the creator [here](http://homepages.inf.ed.ac.uk/vlavrenk/)
`slides/img/SVM_5.png` `slides/img/SVM_21.png`
There is a very simple and well-explaining article on support vector machines to be found [here](https://www.analyticsvidhya.com/blog/2015/10/understaing-support-vector-machine-example-code/). The graphics come from that article.